Jayalaxmi RajeshHanni | Level Measurement Techniques | Outstanding Scientist Award

Published-on by Indian Scientist Awards

Outstanding Scientist Award

Jayalaxmi RajeshHanni
Manipal Institute of Technology, Manipal Academy of Higher Education
Jayalaxmi RajeshHanni
Affiliation Manipal Institute of Technology, Manipal Academy of Higher Education
Country India
Scopus ID 57215085321
Documents 8
Citations 139
h-index 4
Subject Area Level Measurement Techniques
Event Indian Scientist Awards
ORCID 0000-0003-0753-354X

Jayalaxmi RajeshHanni  is associated with the Manipal Institute of Technology, Manipal Academy of Higher Education, India, with research interests connected to engineering measurement systems and level measurement techniques. The research profile reflects scholarly engagement in technical investigation, scientific publication, and the development of measurement-oriented approaches relevant to engineering applications. Based on the available bibliometric indicators, the researcher has contributed eight indexed documents with 139 citations and an h-index of 4.[1]

Abstract

This academic recognition profile presents an overview of the research activities associated with Jayalaxmi RajeshHanni in the area of Level Measurement Techniques. The profile considers scholarly output, citation indicators, institutional association, and the broader relevance of measurement technologies in engineering and scientific systems. Accurate level measurement remains an important component of industrial automation, process monitoring, instrumentation, and safety-oriented engineering applications. Research in this field contributes to the refinement of sensing methodologies and the evaluation of reliable techniques for obtaining measurable information under varying operational conditions.[2]

Keywords

Keywords: Level Measurement Techniques; Instrumentation; Sensors; Process Measurement; Industrial Automation; Engineering Research; Measurement Systems; Scientific Publications; Applied Technology.

Introduction

Measurement science forms an essential foundation for engineering, manufacturing, process industries, and scientific experimentation. Level measurement techniques are particularly important where the monitoring of liquids, granular materials, chemical substances, and industrial process variables requires consistent and dependable data. The development and evaluation of measurement methods involve considerations such as accuracy, sensitivity, environmental conditions, calibration requirements, response characteristics, and system integration.[2]

Within this context, research contributions in instrumentation and measurement technologies support the advancement of practical engineering systems. The academic work associated with this profile reflects engagement with technical research relevant to the broader development of reliable sensing and monitoring approaches. Such research can contribute to knowledge exchange between theoretical investigation and applied engineering practice.

Research Profile

Jayalaxmi RajeshHanni is affiliated with the Manipal Institute of Technology under the Manipal Academy of Higher Education in India. The available scholarly profile indicates participation in research activities related to Level Measurement Techniques and associated engineering measurement domains. Indexed research output provides one perspective on academic activity, while citation indicators offer an additional measure of how published work has been referenced within the scholarly literature.[1]

The reported profile includes eight documents, 139 citations, and an h-index of 4. Bibliometric indicators should be interpreted within disciplinary and temporal contexts, as publication and citation practices can vary considerably between research fields. Nevertheless, such indicators provide useful supplementary information when considered alongside research quality, methodological contribution, academic relevance, and professional engagement.

  • Engineering-oriented research in measurement and instrumentation.
  • Academic engagement with Level Measurement Techniques.
  • Contribution to indexed scholarly literature.
  • Research relevance to monitoring and process measurement applications.

Research Contributions

Research in level measurement encompasses a broad range of sensing principles and technological approaches. Depending on the application, techniques may involve contact-based or non-contact sensing, electronic instrumentation, signal interpretation, automated monitoring, and integration with industrial control systems. The continued investigation of these techniques is relevant to sectors in which accurate process information supports operational efficiency, quality assurance, and system safety.[3]

The research profile of Jayalaxmi RajeshHanni is associated with this broader technical environment. Contributions in such areas may involve the assessment of measurement methodologies, comparison of sensing approaches, experimental validation, and consideration of practical limitations affecting real-world implementation. Academic research in measurement technologies is often interdisciplinary, drawing upon electronics, mechanical systems, computing, control engineering, and materials-based sensing principles.

  • Investigation of measurement methodologies relevant to engineering applications.
  • Contribution to knowledge concerning sensing and monitoring systems.
  • Engagement with instrumentation-based research and technical analysis.
  • Support for the continuing development of applied measurement technologies.

Publications

The available bibliometric record identifies eight scholarly documents associated with the research profile. Publication activity represents an important mechanism through which research methods, findings, experimental observations, and technical perspectives are communicated to academic and professional communities. Scholarly publications also provide opportunities for independent review, citation, comparison, and further development of research ideas.[1]

Research dissemination in engineering and measurement science may take place through journals, conference proceedings, technical publications, and interdisciplinary research platforms. Where applicable, persistent identifiers such as Digital Object Identifiers provide stable links to individual scholarly records and facilitate access to publication metadata.[4]

Research Impact

Research impact can be evaluated through multiple qualitative and quantitative dimensions, including scholarly citations, methodological relevance, application potential, collaboration, educational influence, and contribution to future research. The available profile reports 139 citations and an h-index of 4, providing one bibliometric indication of scholarly visibility. Such metrics are most informative when interpreted alongside the scope and context of the relevant research discipline.[1]

In measurement-focused engineering research, impact may also arise through the practical usefulness of improved sensing methods, enhanced monitoring reliability, and the ability of research findings to support subsequent technological development. The broader significance of level measurement research lies in its relevance to process industries and automated systems where reliable data contributes to informed operational decisions.

Award Suitability

The Outstanding Scientist Award is intended to recognize researchers whose academic and scientific activities demonstrate sustained engagement with research, scholarly dissemination, and contributions relevant to their respective fields. The profile of Jayalaxmi RajeshHanni presents evidence of research activity through indexed publications, citation records, and technical specialization in Level Measurement Techniques.

Consideration for academic recognition may take into account several dimensions beyond bibliometric measures, including originality of research, methodological quality, relevance to the discipline, contribution to innovation, institutional engagement, and the potential value of research outcomes. The available research indicators provide supporting context for evaluating the profile within the broader objectives of the Indian Scientist Awards.[5]

  1. Demonstrated scholarly activity through documented research output.
  2. Research specialization relevant to engineering measurement technologies.
  3. Evidence of scholarly visibility through citation records.
  4. Association with an established academic and research institution.
  5. Potential contribution to the advancement of applied scientific and engineering knowledge.

Conclusion

Jayalaxmi RajeshHanni’s academic profile reflects research engagement in the specialized area of Level Measurement Techniques, supported by documented scholarly publications and citation indicators. The field of engineering measurement remains relevant to industrial monitoring, instrumentation, automation, and the continued improvement of technical systems. Research contributions in this area support the broader scientific objective of developing reliable approaches for observing and interpreting physical process variables.

Within the context of the Indian Scientist Awards, the profile provides a basis for academic recognition through its combination of institutional affiliation, research specialization, publication activity, and scholarly impact indicators. The Outstanding Scientist Award profile is presented as an academic recognition summary and should be considered in conjunction with relevant research documentation and established evaluation criteria.[5]

References

  1. Scopus Author Profile. Bibliometric information and indexed scholarly records associated with Author ID 57215085321. Available at: https://www.scopus.com/authid/detail.uri?authorId=57215085321
  2. A novel helical electrode type capacitance level sensor for liquid level measurement
    https://www.sciencedirect.com/science/article/pii/S0924424720309419
  3. Does the existing liquid level measurement system cater the requirement of future generation
    https://www.sciencedirect.com/science/article/pii/S0263224120301317
  4. Analysis and modeling of 581 kWp grid-integrated solar photovoltaic power plant of academic institution using PVsyst
    https://www.mdpi.com/2673-4591/59/1/142
  5. Design of a novel predictive technique to estimate liquid level and concentration using multi-sensor data fusion
    https://ieeexplore.ieee.org/abstract/document/10583890

Shaikh Moeen Shaikh Naeem | Political Science | Best Academic Researcher Award

Published-on by Indian Scientist Awards

Best Academic Researcher Award

Shaikh Moeen Shaikh Naeem
School of Social Sciences, KBCNMU, Jalgaon
Shaikh Moeen Shaikh Naeem
Affiliation School of Social Sciences, KBCNMU, Jalgaon
Country India
Subject Area Political Science
Event Indian Scientist Awards,
ORCID 0000-0001-5220-1865

Shaikh Moeen Shaikh Naeem is an academic recognition category associated with the Indian Scientist Awards, intended to acknowledge sustained scholarly engagement, research-oriented academic activity, and contributions to disciplinary knowledge. In the field of Political Science, academic research commonly addresses institutions, governance, public policy, political behaviour, comparative systems, democratic processes, and the interaction between society and political structures. The research profile associated with Shaikh Moeen Shaikh Naeem is presented in the context of scholarly activity at the School of Social Sciences, KBCNMU, Jalgaon, India. [1]

Abstract

This article presents an academic profile in support of recognition under the Best Academic Researcher Award category, with particular reference to scholarly engagement in Political Science. The profile is associated with Shaikh Moeen | Shaikh Naeem of the School of Social Sciences, KBCNMU, Jalgaon, India. Political Science research contributes to the systematic understanding of governance, institutions, political participation, public administration, policy processes, and social transformation. Academic recognition in this area may consider research quality, scholarly consistency, institutional contribution, knowledge dissemination, and the broader relevance of research activities. [2]

Keywords

Political Science; Academic Research; Governance; Public Policy; Social Sciences; Political Institutions; Democracy; Research Impact; Higher Education; Scholarly Recognition; Indian Scientist Awards.

Introduction

Political Science is a multidisciplinary social science concerned with the study of political systems, state institutions, public authority, policy formation, political participation, and relationships between governments and societies. Contemporary research in the discipline frequently combines theoretical interpretation with empirical investigation to examine complex political and social phenomena. Such research supports a deeper understanding of institutional development, democratic governance, citizenship, public decision-making, and changing political environments. [1]

Academic researchers in Political Science contribute through teaching, investigation, publication, discussion, and participation in scholarly communities. Their work can provide conceptual frameworks for analysing political developments while also contributing evidence relevant to public administration and policy debates. Recognition through academic award programmes may therefore consider both the scholarly foundations of research and its potential relevance to institutions and society. [3]

Research Profile

The academic profile of Shaikh Moeen Shaikh Naeem is associated with the School of Social Sciences, KBCNMU, Jalgaon, India, within the broader disciplinary area of Political Science. Research in this field requires critical engagement with political concepts, historical developments, institutional arrangements, social structures, and contemporary governance challenges. Academic work may employ qualitative, quantitative, comparative, historical, or interdisciplinary methods depending on the nature of the research question. [2]

A sustained research profile in the social sciences is often reflected through continued engagement with academic inquiry and the communication of scholarly perspectives. This may include contributions to research discussions, academic publications, institutional activities, conferences, seminars, and knowledge-sharing initiatives. The development of such a profile depends on methodological awareness, critical reasoning, ethical research practice, and an ability to relate theoretical perspectives to contemporary issues. [4]

Research Contributions

Research contributions in Political Science may encompass the analysis of political institutions, governance mechanisms, policy implementation, electoral behaviour, citizenship, political communication, and relationships between social change and public authority. The discipline also provides important perspectives for examining how political structures evolve in response to economic, technological, demographic, and cultural transformations. [3]

  • Scholarly engagement with political and social science research themes.
  • Critical examination of governance and institutional processes.
  • Contribution to academic discourse in Political Science.
  • Support for interdisciplinary approaches connecting politics and society.
  • Participation in knowledge dissemination through academic and scholarly activities.

The value of research in Political Science extends beyond disciplinary boundaries because political institutions and public decisions influence numerous aspects of social and economic life. Academic inquiry can therefore contribute analytical tools that assist in understanding governance challenges, evaluating policy outcomes, and interpreting political developments within local, national, and international contexts. [5]

Publications

Academic publications constitute an important mechanism through which research findings, conceptual arguments, and scholarly analyses are communicated to wider academic audiences. Within Political Science, publication activity may include journal articles, book chapters, conference papers, research reports, and interdisciplinary studies. Peer-reviewed dissemination enables research to enter scholarly discussion and supports the evaluation, refinement, and development of academic knowledge. [4]

Publication assessment should be interpreted within the context of disciplinary norms and the availability of verified bibliographic information. Indicators such as document counts and citations can provide one perspective on scholarly visibility, but they do not independently represent the full scope or quality of academic contribution. Qualitative relevance, methodological rigour, originality, and contribution to disciplinary understanding remain important considerations.

Research Impact

Research impact in the social sciences can be understood across several dimensions, including academic influence, contribution to teaching and learning, engagement with policy questions, and relevance to wider public understanding. Political Science research may support the interpretation of democratic processes, institutional arrangements, governance systems, and emerging challenges affecting public life.

The assessment of research impact increasingly recognises that scholarly influence may occur through multiple channels. In addition to formal citations, research may inform academic curricula, professional discussions, institutional practices, and broader public discourse. A balanced evaluation therefore considers both measurable indicators and contextual evidence of sustained intellectual contribution.

Award Suitability

The Best Academic Researcher Award category is relevant to scholars whose academic activities demonstrate continued engagement with research, disciplinary development, and knowledge dissemination. In evaluating suitability, consideration may be given to the consistency of scholarly work, research relevance, methodological contribution, publication record where documented, institutional engagement, and participation in the advancement of academic knowledge.

  • Sustained engagement with academic research and scholarship.
  • Contribution to the advancement of knowledge within Political Science.
  • Commitment to scholarly communication and academic development.
  • Relevance of research to contemporary political and social questions.
  • Potential contribution to interdisciplinary and institutional knowledge-building.

Within the framework of the Indian Scientist Awards, academic recognition provides an opportunity to acknowledge research-oriented contributions across diverse disciplines. For scholars working in Political Science and related social science fields, such recognition may highlight the importance of sustained academic inquiry and the role of research in supporting evidence-based understanding of society and governance.

Conclusion

The academic profile associated with Shaikh Moeen Shaikh Naeem reflects an affiliation with the School of Social Sciences, KBCNMU, Jalgaon, within the subject area of Political Science. Academic research in this discipline contributes to the systematic study of political institutions, governance, public policy, and societal transformation. Recognition through the Best Academic Researcher Award category may provide a platform for acknowledging scholarly engagement and continued contributions to academic knowledge. [2]

A comprehensive understanding of academic contribution requires attention to both quantitative and qualitative dimensions of research. Scholarly integrity, methodological rigour, relevance, knowledge dissemination, and sustained engagement remain important considerations in evaluating research-oriented achievement. The profile presented here situates Political Science research within this broader framework of academic recognition and scholarly development.

References

    1. Goodin,R.E.(2011). The Oxford Handbook of Political Science. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199604456.001.0001.
    2. King, G., Keohane, R. O., & Verba, S. (1994). Designing Social Inquiry: Scientific Inference in Qualitative Research. Princeton University Press. https://doi.org/10.1515/9781400821211.
    3. Ostrom, E. (1990). Governing the Commons: The Evolution of Institutions for Collective Action. Cambridge University Press. https://doi.org/10.1017/CBO9780511807763
    4. Analysis and modeling of 581 kWp grid-integrated solar photovoltaic power plant of academic institution using PVsyst. https://doi.org/10.1002/asi.22803

Kavitha J  | Cyber Risk Management Framework for Enterprise Systems | Innovative Solutions Award

Published-on by Indian Scientist Awards

Innovative Solutions Award

Kavitha J 
GM University
Kavitha J
Affiliation GM University
Country India
Scopus ID 57200138949
Documents 13
Citations 42
h-index 5
Subject Area Cyber Risk Management Framework for Enterprise Systems
Event Indian Scientist Awards
ORCID 0000-0002-1819-7919

 Kavitha J of GM University, India, is associated with academic work in the subject area of Cyber Risk Management Framework for Enterprise Systems. The area focuses on systematic approaches for identifying, assessing, prioritizing, monitoring, and mitigating cyber-related risks within complex enterprise environments. Such research is relevant to the broader development of resilient information systems, governance mechanisms, and organizational security practices.[1]

The research profile reflects documented scholarly activity, with 13 indexed documents, 42 citations, and an h-index of 5 according to the supplied research profile information. The work is positioned within an interdisciplinary domain that connects cybersecurity, enterprise governance, risk assessment, information management, and technology-driven decision-making.[2]

Abstract

Cyber risk management has become an important area of research as enterprise systems increasingly depend on interconnected digital infrastructures, cloud environments, data-intensive platforms, and distributed information technologies. The research area associated with Kavitha J examines the conceptual and practical dimensions of developing frameworks capable of supporting cyber risk identification, evaluation, mitigation, and continuous monitoring. A structured cyber risk management framework can assist organizations in aligning technical security controls with business objectives and governance requirements. The academic relevance of this field lies in its capacity to integrate cybersecurity principles with enterprise-level decision processes, thereby supporting improved resilience and informed risk governance.[1]

Keywords

Cyber Risk Management; Enterprise Systems; Cybersecurity Governance; Information Security; Risk Assessment; Digital Resilience; Security Frameworks; Threat Management; Enterprise Security; Innovative Solutions.

Introduction

Modern enterprises operate in increasingly complex technological environments where information assets, applications, networks, cloud services, and digital processes are interconnected. This interconnectedness creates opportunities for innovation while simultaneously expanding the range of cyber risks that organizations must manage. Cyber risk management therefore extends beyond the implementation of individual security technologies and includes governance structures, policy development, risk assessment methodologies, incident preparedness, and strategic decision-making.[3]

A framework-based approach can provide a systematic structure for addressing these challenges. Such frameworks generally support the identification of assets and threats, analysis of vulnerabilities and potential impacts, selection of controls, monitoring of changing conditions, and communication of risk information to relevant stakeholders. Research in this area contributes to the ongoing discussion concerning how organizations can establish adaptable and measurable approaches to cybersecurity management.[2]

Research Profile

Kavitha J is affiliated with GM University, India, and is associated with scholarly work in the area of Cyber Risk Management Framework for Enterprise Systems. The research profile indicates engagement with topics that connect information security principles with organizational and enterprise-level requirements. The interdisciplinary nature of the field requires consideration of technical vulnerabilities alongside governance, operational continuity, compliance, and strategic risk management.

Based on the supplied academic metrics, the researcher profile includes 13 documents, 42 citations, and an h-index of 5. These indicators provide a descriptive overview of indexed scholarly activity and citation visibility. Bibliometric measures may be useful for understanding patterns of research dissemination and scholarly engagement when interpreted within the context of discipline-specific publication practices.[4]

Research Contributions

The research focus on cyber risk management frameworks for enterprise systems can be understood through several interconnected areas of academic and practical relevance:

  • Risk Identification: Supporting structured identification of cyber threats, vulnerabilities, critical assets, and potential exposure points within enterprise environments.
  • Risk Assessment: Examining approaches for evaluating the likelihood and potential impact of cybersecurity incidents on organizational operations and information resources.
  • Enterprise Governance: Connecting cybersecurity activities with management structures, accountability mechanisms, and institutional decision-making processes.
  • Control Selection: Supporting the development of structured methods for prioritizing and implementing security controls based on identified risk conditions.
  • Continuous Monitoring: Recognizing the dynamic nature of cyber threats and the importance of periodically reviewing risk conditions and mitigation strategies.

Together, these dimensions illustrate the value of a framework-oriented perspective in cybersecurity research. Enterprise systems require approaches that can accommodate changing technologies, evolving threat landscapes, and diverse organizational requirements while maintaining a clear relationship between technical security measures and broader risk objectives.[3]

Publications

The supplied research profile reports 13 indexed documents associated with the researcher. Publication activity provides a mechanism through which research concepts, methodologies, findings, and scholarly perspectives can be communicated to academic and professional audiences. Within cybersecurity and enterprise risk management, publications may address theoretical frameworks, risk assessment models, governance approaches, technological solutions, and case-oriented analyses.

The researcher’s publication profile may be explored through recognized scholarly databases and researcher identification platforms:

Research Impact

Research on cyber risk management frameworks has potential relevance for academic institutions, enterprises, technology organizations, and policymakers seeking systematic approaches to information security. The increasing scale and complexity of cyber threats have reinforced the importance of integrating risk-based thinking into enterprise planning and technology governance. Frameworks that organize security activities around identifiable risk categories can contribute to clearer communication and more structured decision-making.[1]

The research impact of such work may be considered in terms of conceptual contribution, methodological relevance, and potential applicability. Academic studies can inform the refinement of organizational security practices by examining relationships between threats, vulnerabilities, controls, and business consequences. The cited profile metrics, including 42 citations and an h-index of 5, provide one perspective on the visibility of the researcher’s scholarly output within indexed literature.

Award Suitability

The Innovative Solutions Award category is relevant to research that addresses contemporary challenges through structured, original, and practically applicable approaches. Research concerning Cyber Risk Management Frameworks for Enterprise Systems aligns with this broad objective by addressing the need for systematic methods to understand and manage cybersecurity risks in digitally dependent organizations.

Factors supporting the academic suitability of this research area for recognition include:

  1. Relevance to contemporary cybersecurity and enterprise technology challenges.
  2. Integration of risk management principles with organizational and technical security requirements.
  3. Potential contribution to structured decision-making and cyber resilience.
  4. Interdisciplinary applicability across information technology, governance, and enterprise management.
  5. Documented scholarly activity reflected through indexed publications and citation metrics.

Within the context of the Indian Scientist Awards, recognition under an innovation-oriented category may acknowledge research directions that seek to develop useful frameworks and knowledge-based approaches to emerging scientific and technological challenges. Such recognition is appropriately considered in relation to the scope, originality, academic quality, and broader relevance of the research contribution.

Conclusion

Kavitha J of GM University, India, is associated with research in Cyber Risk Management Frameworks for Enterprise Systems, an area that addresses important questions concerning cybersecurity governance, risk assessment, mitigation strategies, and organizational resilience. As enterprises continue to expand their dependence on interconnected digital systems, structured approaches to cyber risk management remain relevant to both research and professional practice.

The available research profile, including 13 documents, 42 citations, and an h-index of 5, provides an overview of scholarly activity associated with the researcher. The Innovative Solutions Award recognizes the relevance of research directions that seek systematic responses to evolving challenges, and the subject area represents an interdisciplinary contribution at the intersection of cybersecurity, enterprise systems, and risk governance.

References

  1. Implementation of DWM for medical images using IWT and QR code as a watermark
    https://ieeexplore.ieee.org/abstract/document/8073698
  2. CNN Ensemble Approach for Early detection of Sugarcane Diseases – A Comparison
    https://ijet.pl/index.php/ijet/article/view/10.24425-ijet.2024.149566
  3. An efficient medical image watermarking technique using integer wavelet transform and quick/fast response codes
    https://www.inderscienceonline.com/doi/abs/10.1504/IJISTA.2019.099344
  4. Hirsch, J. E. “An index to quantify an individual’s scientific research output.” Proceedings of the National Academy of Sciences, 102(46), 16569–16572 (2005). DOI: https://doi.org/10.1073/pnas.0507655102
  5. Scopus. Researcher profile for author identifier 57200138949.
    https://www.scopus.com/authid/detail.uri?authorId=57200138949

Sanjeev Gour | Machine Learning | Excellence in Research Award

Published-on by Indian Scientist Awards

Excellence in Research Award

Sanjeev Gour
Medicaps University
Sanjeev Gour
Affiliation Medicaps University
Country India
Scopus ID 57188766110
Documents 11
Citations 189
h-index 4
Subject Area Machine Learning
Event Indian Scientist Awards
ORCID 0000-0002-2164-1590

Sanjeev Gour is affiliated with Medicaps University, India, and is associated with academic work in the field of Machine Learning. His research profile includes scholarly publications indexed through Scopus, with reported research indicators of 11 documents, 189 citations, and an h-index of 4. The Excellence in Research Award category of the Indian Scientist Awards provides a framework for recognizing sustained academic activity, research output, and contributions within a defined field of study. [1] [2]

Abstract

This article presents an academic overview of Sanjeev Gour and his research profile in Machine Learning in relation to consideration for the Excellence in Research Award at the Indian Scientist Awards. The profile reflects scholarly activity represented by 11 indexed documents, 189 reported citations, and an h-index of 4. These indicators provide a quantitative perspective on publication activity and scholarly visibility, while the broader assessment of research excellence also depends on originality, methodological relevance, subject-specific contribution, and the continuing development of academic work. [1] [3]

Keywords

Machine Learning; Artificial Intelligence; Computational Research; Data Analysis; Academic Publications; Research Impact; Citation Analysis; Indian Scientist Awards; Excellence in Research Award.

Introduction

Machine Learning is an interdisciplinary research area concerned with computational methods that enable systems to identify patterns, learn from data, and support analytical or predictive tasks. The field draws upon concepts from computer science, statistics, mathematics, and domain-specific applications. Research contributions may involve the development of algorithms, comparative evaluation of computational methods, data-driven modelling, and the application of learning techniques to practical problems. [3]

Academic recognition in this area commonly considers a combination of research productivity, publication quality, citation evidence, originality, institutional engagement, and the relevance of research outcomes. Bibliometric indicators can provide one component of this assessment, although numerical measures are generally interpreted alongside qualitative evidence concerning the nature and significance of individual research contributions. [4]

Research Profile

Sanjeev Gour is affiliated with Medicaps University in India and is associated with research activity in Machine Learning. The available Scopus profile linked to this article identifies the researcher through Scopus Author ID 57188766110 and provides a basis for reviewing indexed publication and citation information. [1]

The reported profile metrics include 11 documents, 189 citations, and an h-index of 4. Such indicators describe aspects of publication output and citation accumulation within the indexed record. They should be understood as descriptive bibliometric measures rather than as complete measures of scientific quality, because citation patterns can vary across disciplines, publication periods, databases, and research communities. [1] [4]

Research Contributions

The research profile is situated within Machine Learning, a field in which scholarly contributions may include the design and evaluation of computational models, the analysis of data, the study of predictive methods, and the adaptation of learning-based approaches to domain-specific challenges. The indexed publication record provides evidence of continued scholarly participation and forms a documented basis for assessing research activity. [1]

  • Research activity associated with Machine Learning and computational methods.
  • Scholarly publication output represented through indexed documents.
  • Citation evidence demonstrating engagement with published research.
  • Academic association with Medicaps University and the broader research community.

Research in Machine Learning is frequently assessed through reproducibility, methodological clarity, comparative evaluation, and the suitability of models for the problem being investigated. Consequently, an academic profile may be evaluated not only according to the volume of publications but also according to the contribution of individual studies to knowledge development and practical application. [3]

Publications

The publication record associated with the linked Scopus profile reports 11 indexed documents. Publication data may be used to examine research continuity, subject distribution, collaboration patterns, and the development of scholarly interests over time. Detailed bibliographic records can be reviewed through the external Scopus profile for article-level information. [1]

  1. Indexed research documents provide a structured record of scholarly output within bibliographic databases.
  2. Citation information enables an examination of how published work has been referenced by subsequent scholarship.
  3. Publication-level details, including source information and available DOI records, should be verified directly through the relevant bibliographic or publisher records.

Where individual publications include Digital Object Identifiers, DOI records provide persistent links to the corresponding scholarly works. DOI resolution follows the standard persistent identifier framework administered through DOI infrastructure and can support reliable access to publication metadata and publisher-hosted content. [5]

Research Impact

The reported citation count of 189 and h-index of 4 provide measurable indicators of the visibility of the indexed publication record. Citation metrics are commonly used in research assessment as supplementary evidence of scholarly reach, but their interpretation requires consideration of disciplinary conventions, publication age, database coverage, and the characteristics of individual research areas. [1] [4]

A balanced evaluation of research impact may therefore consider quantitative indicators together with qualitative evidence, including the originality of research questions, methodological quality, contribution to knowledge, interdisciplinary relevance, and potential academic or societal application. This approach supports a broader understanding of excellence than any single numerical metric alone. [4]

Award Suitability

Based on the available academic information, Sanjeev Gour’s profile presents documented research activity in Machine Learning, supported by indexed publications and citation records. These elements are relevant to consideration for an Excellence in Research Award, particularly when assessed together with the originality, quality, relevance, and continuity of the underlying scholarly work. [1] [2]

  • Documented publication activity in the stated subject area.
  • Evidence of citation-based scholarly visibility.
  • Association with an academic institution and research environment.
  • A research profile that may be reviewed using both quantitative and qualitative assessment criteria.

Final award suitability is appropriately determined through the evaluation procedures, eligibility requirements, and review criteria established by the organizing body. The information presented here is intended as an academic profile summary based on the supplied researcher data and linked scholarly resources. [2]

Conclusion

Sanjeev Gour’s academic profile at Medicaps University reflects research engagement in Machine Learning, with a reported record of 11 Scopus-indexed documents, 189 citations, and an h-index of 4. These indicators provide evidence of scholarly activity and form one part of a broader assessment of research contribution. In the context of the Indian Scientist Awards, the Excellence in Research Award category may consider such documented output alongside research quality, originality, subject relevance, and the continuing development of academic contributions. [1] [2]

References

  1. Scopus. “Author Profile: Sanjeev Gour, Scopus Author ID 57188766110.
    https://www.scopus.com/pages/authors/57188766110.
  2. Impact of machine learning on management, healthcare and agriculture
    https://www.sciencedirect.com/science/article/abs/pii/S221478532104894X
  3. Multitask learning for security and privacy in IoV (Internet of Vehicles)
    https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119871989.ch12
  4. Impact of Machine Learning Techniques in Medical Treatment Assistance in Perspective to AR & VR Technologies
    https://www.e3s-conferences.org/articles/e3sconf/abs/2024/21/e3sconf_icecs2024_03006/e3sconf_icecs2024_03006.html
  5. Impact and use of AI tools in teaching and learning in higher education: a case study in perspective to the new education policy of India
    https://eksplorium.com/index.php/journal/article/view/58

Sutapa Neogi | Nutrition | Outstanding Scientist Award

Published-on by Indian Scientist Awards

Outstanding Scientist Award

Sutapa Neogi
IIHMR D, India
Sutapa Neogi
Affiliation IIHMR D
Country India
Scopus ID 57810558400
Documents 119
Citations 1,515
h-index 20
Subject Area Nutrition
Event Indian Scientist Awards
ORCID 0000-0002-2173-966X

Sutapa Neogi is a researcher associated with IIHMR D in India whose academic profile is situated within the field of nutrition. Her scholarly record includes 119 indexed documents, 1,515 citations and an h-index of 20, reflecting a sustained record of research dissemination and citation-based academic visibility. The profile is considered in relation to the Outstanding Scientist Award of the Indian Scientist Awards, an academic recognition framework intended to acknowledge researchers for their scholarly contributions, research productivity and broader disciplinary engagement. [1]

Abstract

This article presents an academic overview of Sutapa Neogi, a researcher affiliated with IIHMR D, India, with a documented scholarly presence in nutrition and related areas of public health research. The available bibliometric profile records 119 documents, 1,515 citations and an h-index of 20. These indicators provide a quantitative perspective on publication activity and the extent to which published work has been cited within the scholarly literature. The profile is reviewed in the context of suitability for the Outstanding Scientist Award at the Indian Scientist Awards, with attention to research productivity, continuity of academic contribution, citation impact and disciplinary relevance. [1]

Keywords

Sutapa Neogi; nutrition; public health; health research; bibliometrics; scholarly publications; citation impact; h-index; Indian Scientist Awards; Outstanding Scientist Award; IIHMR D.

Introduction

Nutrition research contributes to the understanding of dietary patterns, nutritional status, disease prevention and population health. The discipline frequently intersects with epidemiology, health systems research, maternal and child health, social determinants and evidence-based public health practice. Academic contributions in this area may therefore be assessed not only through the number of published studies but also through their relevance to wider health questions and their engagement with established scientific literature. [2]

The academic record associated with Sutapa Neogi indicates sustained publication activity and measurable citation engagement. Bibliometric indicators such as document count, citation count and h-index are commonly used as descriptive measures when examining research visibility, although they do not independently establish the quality or significance of an individual contribution. A balanced evaluation of scholarly achievement also considers subject relevance, methodological contribution, continuity of research activity and the influence of work within its disciplinary context. [3]

Research Profile

Sutapa Neogi is affiliated with IIHMR D in India and is associated with research in nutrition. The available academic profile records 119 documents indexed through the referenced Scopus author profile, together with 1,515 citations and an h-index of 20. These figures represent the bibliometric information supplied for this academic profile and provide a structured overview of publication activity and citation visibility. [1]

  • Affiliation with IIHMR D, India.
  • Primary subject area identified as nutrition.
  • Reported scholarly record of 119 documents.
  • Reported citation count of 1,515.
  • Reported h-index of 20.
  • International researcher identification supported through the listed Scopus and ORCID profiles.

Research Contributions

The research profile is situated within nutrition and its connections with population health and evidence-informed practice. Research in this field commonly addresses nutritional conditions and determinants, health outcomes, programme evaluation, preventive strategies and the translation of scientific findings into public health interventions. The relevance of nutrition research is particularly significant where dietary conditions interact with demographic, socioeconomic and health-system factors. [2]

Based on the available bibliometric record, the research contribution may be characterized by continuity of scholarly publication and participation in an established body of academic literature. The reported number of documents and citations suggests that the work has achieved measurable visibility among other researchers. Such indicators are most appropriately interpreted as part of a broader assessment rather than as stand-alone measures of scientific merit. [3]

  1. Sustained participation in scholarly research and publication.
  2. Contribution to the literature associated with nutrition and population health.
  3. Development of a citation record indicating academic engagement with published work.
  4. Maintenance of a research profile that can be examined through recognized scholarly indexing and researcher identification systems.

Publications

The supplied academic profile reports 119 documents. Publication records are an important component of research assessment because they provide evidence of scholarly activity, dissemination and participation in disciplinary communication. The Scopus author profile and Google Scholar profile provide external points of access for reviewing publication listings, citation information and related bibliometric data. [1][4]

  • Indexed scholarly output reported: 119 documents.
  • Research visibility can be examined through the listed Scopus author profile.
  • Additional scholarly citation information is available through the listed Google Scholar profile.
  • Persistent researcher identification is provided through the listed ORCID record.

Where individual publications contain registered Digital Object Identifiers, DOI records provide persistent links to the respective scholarly works. DOI-based linking is widely used to support stable identification and retrieval of academic literature. [5]

Research Impact

The reported citation count of 1,515 and h-index of 20 provide quantitative indicators of the academic reach of the published work associated with this profile. Citation-based measures are frequently used to describe how scholarly outputs are referenced by subsequent research, although citation practices differ across disciplines, publication types and periods of observation. Consequently, such indicators are most useful when interpreted in combination with qualitative evidence of contribution and disciplinary context. [3]

Within nutrition and public health research, scholarly impact may extend through contributions to evidence generation, research discussion and the development of knowledge relevant to health programmes and policy. The available profile therefore supports an assessment based on a combination of publication continuity, citation engagement and relevance to an important area of health research. [2]

Award Suitability

The Outstanding Scientist Award is intended to recognize researchers whose academic records demonstrate sustained engagement with scientific research and scholarly communication. In the case of Sutapa Neogi, the available information presents a profile characterized by 119 reported documents, 1,515 citations, an h-index of 20 and an established subject association with nutrition. These elements provide relevant evidence for consideration under an academic recognition process that evaluates research productivity and scholarly impact. [1]

Award suitability should nevertheless be determined through a formal evaluation of the complete nomination materials, including publication quality, originality of contributions, relevance of research, professional achievements and supporting documentation. Bibliometric indicators may inform such an assessment, but they should be interpreted alongside expert review and the stated criteria of the awarding organization.

  • Sustained scholarly publication record.
  • Measurable citation-based academic visibility.
  • Established research association with nutrition and related health research.
  • Availability of researcher records through recognized academic identification systems.
  • Potential alignment with the formal evaluation criteria of the Indian Scientist Awards.

Conclusion

Sutapa Neogi’s available academic profile presents a sustained record of scholarly activity in the field of nutrition, with 119 reported documents, 1,515 citations and an h-index of 20. These indicators provide a quantitative basis for examining publication continuity and citation engagement. In the context of the Outstanding Scientist Award, the profile offers relevant evidence for academic consideration, subject to the complete review of research contributions and the official evaluation criteria of the Indian Scientist Awards. [1]

References

    1. Scopus. Author Profile: Sutapa Neogi. Available through the Scopus author identification system.
      https://www.scopus.com/authid/detail.uri?authorId=57810558400
    2. Health systems in India
      https://www.nature.com/articles/jp2016184
    3. State of newborn health in India
      https://www.nature.com/articles/jp2016183
    4. Google Scholar. Researcher Citation Profile. Available at:
      https://scholar.google.com/citations?user=qRpzM1gAAAAJ&hl=en&oi=sra
    5. Utilization of maternal health services and its determinants: a cross-sectional study among women in rural Uttar Pradesh, India
      https://link.springer.com/article/10.1186/s41043-019-0173-5

Mukesh Pasupuleti | Drug Discovery | Best Researcher Award

Published-on by Indian Scientist Awards

Best Researcher Award

Mukesh Pasupuleti
CSIR-Central Drug Research Institute, India

 Mukesh Pasupuleti
Affiliation CSIR-Central Drug Research Institute
Country India
Scopus ID 16200101500
Documents 130
Citations 5,467
h-index 38
Subject Area Drug Discovery
Event Indian Scientist Awards
ORCID 0000-0001-6337-6257

Mukesh Pasupuleti is a researcher affiliated with the CSIR-Central Drug Research Institute in India, working in the broad field of drug discovery. The researcher profile supplied for the Best Researcher Award records 130 documents, 5,467 citations, and an h-index of 38. These bibliometric indicators provide a quantitative description of research visibility and scholarly output and should be interpreted alongside publication quality, research contribution, collaboration, and scientific relevance. [1]

The Best Researcher Award is considered in the context of sustained scholarly contribution, research productivity, scientific influence, and relevance to the nominated subject area. For Mukesh Pasupuleti, the stated specialization in Drug Discovery provides a direct connection between the research profile and the scientific scope of the award category.

Abstract

The Best Researcher Award profile recognizes the research record of Mukesh Pasupuleti, affiliated with the CSIR-Central Drug Research Institute in India and identified within the subject area of Drug Discovery. The supplied scholarly indicators comprise 130 documents, 5,467 citations, and an h-index of 38. Such indicators are commonly used to describe publication activity and citation influence, although bibliometric measures alone do not establish the scientific quality or originality of individual contributions. [1] [2]

Drug discovery is a multidisciplinary research domain encompassing the identification, validation, optimization, and evaluation of biological targets and candidate therapeutic compounds. Research in this field can integrate medicinal chemistry, molecular biology, pharmacology, computational approaches, structural biology, and related disciplines. The researcher profile is therefore situated within a scientific area of direct relevance to pharmaceutical and biomedical research.

Keywords

Drug Discovery; Pharmaceutical Research; Biomedical Research; Medicinal Research; Therapeutic Development; Scientific Publications; Research Impact; Citation Analysis; Bibliometrics; CSIR-Central Drug Research Institute; Indian Scientist Awards; Best Researcher Award.

Introduction

Drug discovery represents an important component of biomedical science because it translates biological knowledge into potential therapeutic interventions. Modern discovery programs frequently involve multiple stages, including target identification, target validation, hit discovery, lead optimization, preclinical assessment, and subsequent development activities. The field also increasingly incorporates computational methods and data-driven approaches to prioritize compounds and investigate biological mechanisms.

Academic evaluation within drug discovery therefore benefits from considering both quantitative and qualitative evidence. Publication counts, citations, and h-index values can provide useful indicators of scholarly visibility, but they do not independently capture methodological originality, reproducibility, translational significance, mentoring, collaboration, or the broader contribution of research to a scientific field. [1] [2]

Within this framework, Mukesh Pasupuleti’s supplied profile presents a substantial publication and citation record associated with the CSIR-Central Drug Research Institute. The profile is relevant to an academic recognition process focused on research achievement in Drug Discovery.

Research Profile

The supplied profile identifies Mukesh Pasupuleti as a researcher at the CSIR-Central Drug Research Institute, India, with Drug Discovery as the principal subject area. The available bibliometric information lists 130 documents, 5,467 citations, and an h-index of 38. These values indicate a documented body of scholarly publications and substantial citation activity within the indexed research literature.

Metric Reported value Interpretation
Documents 130 Indexed scholarly publication output reported in the supplied profile
Citations 5,467 Reported citation count indicating scholarly visibility
h-index 38 Bibliometric measure combining publication productivity and citation impact
Subject area Drug Discovery Primary research area supplied for award consideration

The profile should be assessed using the date and database represented by the supplied metrics because citation and publication indicators can change over time. Scopus author profiles, for example, may be affected by publication indexing, author disambiguation, database updates, and citation accumulation. [1]

Research Contributions

The supplied information establishes Drug Discovery as Mukesh Pasupuleti’s stated research area but does not provide a complete publication-by-publication description of individual discoveries. Accordingly, specific scientific findings should be evaluated from the underlying publications rather than inferred solely from bibliometric statistics.

For an academic assessment of contributions in drug discovery, relevant evidence may include:

  • Original research addressing significant biological, chemical, pharmacological, or therapeutic questions.
  • Development or application of methods that advance drug-discovery research.
  • Peer-reviewed publications demonstrating reproducible scientific findings.
  • Collaborative research contributing to multidisciplinary drug-discovery programs.
  • Evidence that published work has influenced subsequent research, as reflected in appropriate scholarly citation and use.

These dimensions complement quantitative indicators and allow award evaluators to distinguish publication volume from substantive scientific contribution. Responsible use of research metrics recommends that quantitative measures support, rather than replace, expert assessment of research quality. [2]

Publications

The supplied researcher profile reports 130 documents indexed under the associated Scopus author record. The number represents the publication output stated in the input information and should be verified against the current author profile when used for formal award documentation. [1]

For detailed publication evaluation, an academic review may consider:

  1. Peer-reviewed journal articles and other scholarly publications relevant to Drug Discovery.
  2. Publication venues and the scientific communities reached by the research.
  3. Citation patterns and the scholarly influence of individual publications.
  4. Evidence of original methodology, discoveries, translational relevance, or interdisciplinary contribution.
  5. Consistency and continuity of research activity over the relevant assessment period.

Because individual publication titles, journal details, publication years, and DOI records were not supplied in the source profile, specific article-level citations are not attributed to the researcher in this page. This avoids assigning publications or DOI identifiers without sufficient supporting information.

Research Impact

The supplied citation count of 5,467 and h-index of 38 indicate a notable level of citation activity associated with the researcher’s indexed publication record. Citation-based indicators can assist in assessing the reach of scholarly work, although citation counts differ across disciplines, publication types, career stages, databases, and research communities. [1] [2]

In drug discovery, research impact can extend beyond citations. Potential indicators include incorporation of findings into subsequent scientific studies, methodological adoption, collaboration across disciplines, contribution to therapeutic research programs, and translation of scientific knowledge toward practical applications. These forms of impact should be documented through verifiable evidence where they are relevant to an award assessment.

Award Suitability

Based on the supplied information, Mukesh Pasupuleti’s profile is aligned with the Best Researcher Award through the combination of a stated Drug Discovery specialization, an affiliation with the CSIR-Central Drug Research Institute, and the reported publication and citation indicators. The profile records 130 documents, 5,467 citations, and an h-index of 38.

Assessment dimension Profile evidence
Research area Drug Discovery
Institutional affiliation CSIR-Central Drug Research Institute, India
Publication output 130 reported documents
Citation impact 5,467 reported citations
h-index 38
Award category Best Researcher Award

Final award suitability should additionally be determined from the official eligibility criteria and supporting evidence required by the Indian Scientist Awards. Bibliometric indicators are relevant evidence but should not be treated as the sole basis for recognition. [2]

Conclusion

Mukesh Pasupuleti is presented in the supplied award profile as a Drug Discovery researcher affiliated with the CSIR-Central Drug Research Institute in India. The reported record of 130 documents, 5,467 citations, and an h-index of 38 provides quantitative evidence of scholarly activity and citation visibility. [1]

The profile is consequently relevant to consideration for the Best Researcher Award within the Indian Scientist Awards. A comprehensive academic assessment should combine these metrics with examination of individual publications, originality, scientific significance, methodological contribution, collaboration, research integrity, and demonstrable impact. Such a balanced approach is consistent with responsible principles for research evaluation. [2]

References

  1. Scopus. Scopus Author Profiles and Citation Metrics. Elsevier. Author profile identifier: 16200101500.
    https://www.scopus.com/pages/authors/16200101500
  2. Evaluation of strategies for improving proteolytic resistance of antimicrobial peptides by using variants of EFK17, an internal segment of LL-37
    https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1000857
  3. Antimicrobial peptides: key components of the innate immune system
    https://www.tandfonline.com/doi/abs/10.3109/07388551.2011.594423
  4. Strategies for fermentation medium optimization: an in-depth review
    https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2016.02087/full
  5. Evaluation of strategies for improving proteolytic resistance of antimicrobial peptides by using variants of EFK17, an internal segment of LL-37
    https://journals.asm.org/doi/full/10.1128/aac.00477-08

 

Nilanjana Nandi | Perovskite solar cell | Women Researcher Award

Published-on by Indian Scientist Awards

Women Researcher Award

Nilanjana Nandi
Rice University
Nilanjana Nand
Affiliation Rice University
Country India
Scopus ID 57200946944
Documents 20
Citations 334
h-index 11
Subject Area Perovskite solar cell
Event Indian Scientist Awards

Nilanjana Nandi is a researcher affiliated with Rice University whose scholarly profile is associated with research in perovskite solar cells, an important area of materials and energy research concerned with the development and performance of next-generation photovoltaic technologies. Her research record includes 20 documents, 334 citations, and an h-index of 11, according to the research metrics provided for this academic recognition profile. These indicators provide a quantitative overview of publication activity and scholarly visibility within the relevant research domain. [1]

The Women Researcher Award, presented in connection with the Indian Scientist Awards, recognizes women researchers whose academic work demonstrates sustained engagement with scientific inquiry, research dissemination, and contributions to their respective disciplines. In the context of perovskite solar cell research, scholarly activity may involve interdisciplinary investigation across materials science, chemistry, physics, nanotechnology, and renewable energy systems. [2] [3]

Abstract

This article presents an academic recognition profile of Nilanjana Nandi, affiliated with Rice University, in relation to the Women Researcher Award under the Indian Scientist Awards. The profile focuses on her association with perovskite solar cell research and summarizes the available scholarly indicators, including 20 documents, 334 citations, and an h-index of 11. Perovskite photovoltaics constitute an active field of research because of their potential for high-performance solar energy conversion and their relevance to the broader development of efficient and scalable renewable energy technologies. [2] [3]

Keywords

Nilanjana Nandi; Rice University; Women Researcher Award; Indian Scientist Awards; perovskite solar cells; photovoltaics; renewable energy; materials science; solar energy research; scientific recognition.

Introduction

The development of advanced photovoltaic technologies remains an important component of global research into sustainable energy systems. Among emerging photovoltaic materials, metal-halide perovskites have attracted substantial scientific attention because of their rapid progress in solar-cell performance and their potential compatibility with comparatively low-temperature processing approaches. The field also presents continuing scientific questions concerning material stability, interfacial behavior, reproducibility, scalability, and long-term device performance. [2] [3]

Research in this area is inherently interdisciplinary and commonly draws upon concepts from chemistry, condensed matter physics, materials engineering, nanoscience, and device engineering. Academic recognition profiles in such fields may therefore consider not only publication output but also the continuity of research activity, the visibility of published work, and the broader relevance of the scientific area under investigation. [4]

Research Profile

Nilanjana Nandi is listed in this recognition profile as a researcher affiliated with Rice University and associated with the subject area of perovskite solar cells. The available metrics identify a record of 20 documents, 334 citations, and an h-index of 11. Such bibliometric indicators are commonly used as descriptive measures of publication activity and citation visibility, although they should be interpreted in the context of disciplinary practices, publication age, collaboration patterns, and the scope of the databases from which they are derived. [1]

The research area represented by this profile is relevant to ongoing efforts to improve photovoltaic efficiency and address practical challenges associated with the adoption of emerging solar-cell technologies. Work in perovskite-based systems may involve the study of material composition, charge transport, device architecture, interfaces, degradation pathways, and methods intended to improve operational stability. [3] [4]

Research Contributions

The research profile is situated within the broader scientific development of perovskite solar cells. This area has expanded through contributions addressing the optical, electronic, structural, and chemical properties of perovskite materials, together with research on device fabrication and photovoltaic performance. Continued progress depends on the combined investigation of fundamental material properties and engineering strategies relevant to stable and reproducible devices. [2] [3]

  • Research associated with emerging photovoltaic materials and perovskite-based solar energy conversion.
  • Scholarly engagement with interdisciplinary questions involving materials science, energy research, and device performance.
  • Contribution to the scientific literature represented by the available publication record.
  • Participation in a research area with continuing relevance to renewable and sustainable energy technologies.

These contributions are considered within the scope of the available academic information and are presented as a description of the research domain rather than as a claim regarding any individual publication beyond the supplied profile data. Perovskite solar-cell research continues to develop through international and interdisciplinary collaboration, making careful evaluation of specific scientific outputs important when assessing individual research achievements. [4]

Publications

The available profile data report 20 scholarly documents. Publication records provide one perspective on a researcher’s sustained participation in academic communication and may include articles, reviews, conference contributions, or other indexed scholarly outputs depending on the database and source used for assessment. [1]

For detailed publication-level information, including article titles, journal sources, co-authorship, publication dates, and citation updates, the associated Google Scholar profile provides an external point of access. As citation databases are dynamic, numerical indicators may change over time as additional publications are indexed and cited. [1]

Research Impact

The supplied profile reports 334 citations and an h-index of 11. Citation-based measures can indicate the extent to which published work has been referenced in subsequent scholarly literature, but they do not independently establish scientific quality or societal significance. Their interpretation is influenced by factors such as field size, publication practices, career stage, database coverage, and the time elapsed since publication. [1]

Within renewable energy research, the scientific importance of perovskite photovoltaics is connected to the search for efficient, stable, and scalable alternatives and complements to established solar-cell technologies. Research advances in this area may contribute to the wider knowledge base supporting future photovoltaic materials and device concepts. [2] [3]

Award Suitability

The academic profile of Nilanjana Nandi demonstrates characteristics relevant to consideration for the Women Researcher Award, including an identifiable research specialization, an established institutional affiliation, a documented publication record, and measurable citation indicators. The award category provides a framework for recognizing women researchers whose work reflects sustained participation in scientific research and scholarly dissemination.

  1. Research engagement in the field of perovskite solar cells and advanced photovoltaic materials.
  2. A documented scholarly record consisting of 20 reported documents.
  3. Citation visibility represented by 334 reported citations and an h-index of 11.
  4. Alignment with an award category intended to acknowledge women’s participation and contributions in scientific research.

Award suitability should be understood as an evaluative consideration based on the information available to the recognition process and any applicable criteria established by the Indian Scientist Awards. Final recognition decisions may additionally depend on the review of supporting documents, research quality, originality, academic contribution, professional experience, and other criteria determined by the awarding organization. [5]

Conclusion

Nilanjana Nandi’s academic recognition profile highlights her association with Rice University and her research specialization in perovskite solar cells. Based on the supplied scholarly indicators, the profile records 20 documents, 334 citations, and an h-index of 11. These measures, together with the relevance of the research area to renewable energy and advanced photovoltaic technologies, provide a basis for considering the profile within the context of the Women Researcher Award. [1]

The broader significance of research in perovskite photovoltaics lies in its contribution to scientific efforts focused on improving solar energy conversion while addressing challenges involving stability, manufacturing, and long-term performance. Continued scholarly investigation in this field remains relevant to the advancement of materials research and sustainable energy technologies. [2] [3]

References

  1. Nilanjana Nandi. Google Scholar citation profile. Access to publication and citation information may vary as the profile is updated.
    https://scholar.google.com/citations?user=-lV4K3QAAAAJ&hl=en&oi=sra
  2. Multifunctional N-Doped Carbon Dots for Bimodal Detection of Bilirubin and Vitamin B12, Living Cell Imaging, and Fluorescent Ink.
    https://pubs.acs.org/aabmcb/article-abstract/4/6/5201/463040/Multifunctional-N-Doped-Carbon-Dots-for-Bimodal?redirectedFrom=fulltext
  3. Red-Emitting Silver Nanoclusters for Dual-Mode Detection of Cu2+ and Vitamin B12 in Living Cells
    https://pubs.acs.org/aanmf6/article-abstract/5/6/7670/795650/Red-Emitting-Silver-Nanoclusters-for-Dual-Mode?redirectedFrom=fulltext
  4. Ratiometric Multimode Detection of pH and Fe3+ by Dual-Emissive Heteroatom-Doped Carbon Dots for Living Cell Applications
    https://pubs.acs.org/aanmf6/article-abstract/5/11/17315/390847/Ratiometric-Multimode-Detection-of-pH-and-Fe3-by?redirectedFrom=fulltext
  5. Mercaptopropionic acid-assisted synthesis of green and blue emissive copper nanoclusters for multimodal sensing, logic gate, and white light applications
    https://www.sciencedirect.com/science/article/abs/pii/S2468519422005705

Bindiya Barsola | Green Synthesis | Best Paper Award

Published-on by Indian Scientist Awards

Best Paper Award

Bindiya Barsola
 Arni University
Bindiya Barsola
Affiliation Arni University
Country India
Scopus ID 57810558400
Documents 14
Citations 134
h-index 6
Subject Area Green Synthesis
Event Indian Scientist Awards

Bindiya Barsola is affiliated with Arni University, India, and is associated with research in the field of green synthesis. The available research profile indicates a publication record comprising 14 documents, 134 citations, and an h-index of 6, as represented through the associated Scopus author profile.[1] The scholarly record provides a basis for considering the researcher’s academic contributions, publication activity, and relevance to recognition under the Best Paper Award category of the Indian Scientist Awards.

Abstract

This article presents an academic overview of Bindiya Barsola, affiliated with Arni University, with particular reference to research activity in green synthesis and suitability for recognition through the Best Paper Award at the Indian Scientist Awards. The profile is based on the supplied scholarly metrics, including 14 indexed documents, 134 citations, and an h-index of 6.[1] The discussion considers the relevance of publication quality, research contribution, scholarly visibility, and subject-specific significance in the context of an academic paper recognition category.

Keywords

Bindiya Barsola; Arni University; Green Synthesis; Sustainable Chemistry; Research Publications; Scholarly Impact; Citation Analysis; Best Paper Award; Indian Scientist Awards.

Introduction

Academic recognition programs commonly assess research contributions through a combination of publication quality, originality, methodological relevance, scholarly influence, and the contribution of research to the advancement of a particular discipline. The Best Paper Award category is generally associated with the evaluation of published research according to criteria such as scientific merit, clarity of presentation, novelty, relevance, and the potential significance of the findings.[1]

Green synthesis represents an important area of contemporary scientific investigation because it emphasizes approaches that may reduce the environmental impact associated with conventional synthesis methods. Research in this field frequently intersects with sustainable chemistry, materials development, nanotechnology, and environmentally responsible processes. The scholarly profile associated with Bindiya Barsola provides a framework for examining publication-based contributions within this broader academic context.[2]

Research Profile

Bindiya Barsola is affiliated with Arni University in India and is associated with the subject area of green synthesis. The supplied Scopus author profile identifies 14 documents, 134 citations, and an h-index of 6.[1] These indicators provide a quantitative representation of publication activity and citation visibility, although bibliometric measures are most appropriately interpreted alongside qualitative assessment of individual publications and their disciplinary context.

  • Researcher: Bindiya Barsola
  • Institution: Arni University
  • Country: India
  • Subject Area: Green Synthesis
  • Indexed Documents: 14
  • Citations: 134
  • h-index: 6

Research Contributions

The research area of green synthesis is characterized by the development and investigation of methods intended to support more sustainable scientific and technological practices. Within this context, scholarly contributions may involve the selection of environmentally preferable materials, the use of biological or naturally derived agents, optimization of synthesis conditions, characterization of resulting products, and evaluation of possible applications.[2]

The publication record associated with the researcher indicates sustained participation in scholarly communication. Assessment of research contributions for an academic recognition category should consider the specific contribution of individual papers, including research design, originality, reproducibility, quality of analysis, relevance to the discipline, and evidence of influence within subsequent scientific literature.

  1. Contribution to research in green synthesis and related sustainable scientific approaches.
  2. Participation in peer-reviewed scholarly publication and dissemination.
  3. Development of research outputs suitable for academic evaluation and citation.
  4. Contribution to the broader scientific discussion concerning environmentally conscious synthesis methodologies.

Publications

The available Scopus profile reports 14 indexed documents for the researcher.[1] In evaluating eligibility for a Best Paper Award, the emphasis may be placed on a nominated publication rather than on aggregate bibliometric indicators alone. Relevant factors can include the paper’s originality, methodological quality, scientific clarity, contribution to existing knowledge, and evidence of scholarly or practical relevance.

Where applicable, individual publications should be assessed using their complete bibliographic records and persistent identifiers such as Digital Object Identifiers (DOIs). DOI links provide a stable mechanism for identifying scholarly works and connecting readers to publisher-maintained publication records.[3]

  • Indexed publication record: 14 documents.
  • Citation record: 134 citations.
  • Research impact indicator: h-index of 6.
  • Publication-specific evaluation should use the relevant article metadata and DOI where available.

Research Impact

The reported citation total of 134 and h-index of 6 indicate that the researcher’s indexed publications have received measurable attention within the scholarly literature.[1] Citation-based indicators are commonly used to describe aspects of scholarly visibility, but they do not independently establish the quality or significance of every individual research contribution. Their interpretation is strengthened when combined with expert review and publication-level analysis.

In green synthesis, research impact may also be considered through the relevance of the work to sustainable scientific practice, methodological advancement, interdisciplinary applicability, and the potential for findings to inform subsequent research. Such considerations provide a broader framework for evaluating academic output beyond numerical indicators alone.

Award Suitability

Based on the supplied research information, Bindiya Barsola presents a publication profile relevant to consideration for the Best Paper Award at the Indian Scientist Awards. The documented research activity in green synthesis, together with the reported publication and citation metrics, provides evidence of scholarly engagement and publication output.[1]

Final assessment for a Best Paper Award should, however, remain focused on the nominated publication and the applicable evaluation criteria established by the event. A balanced review may consider originality, scientific rigor, methodological quality, presentation, relevance to the subject area, contribution to knowledge, and the paper’s potential academic or societal significance.

  1. Originality and clarity of the nominated research work.
  2. Scientific and methodological rigor.
  3. Relevance to green synthesis and related research areas.
  4. Contribution of the publication to academic knowledge and future research.
  5. Scholarly visibility and supporting bibliometric evidence where appropriate.

Conclusion

Bindiya Barsola of Arni University, India, has an academic profile associated with green synthesis and a reported Scopus record of 14 documents, 134 citations, and an h-index of 6.[1] These indicators provide a measurable overview of publication activity and scholarly visibility. In the context of the Best Paper Award at the Indian Scientist Awards, the profile offers relevant supporting evidence for academic consideration, while the final suitability of any nomination should depend on detailed evaluation of the nominated research paper according to the event’s applicable criteria.

References

    1. Bibliometric information including indexed documents, citations, and h-index as represented in the associated author profile.
      Scopus Author Profile: Bindiya Barsola, Author ID 57810558400
    2. >Nano-biogenic heavy metals adsorptive remediation for enhanced soil health and sustainable agricultural production
      https://www.sciencedirect.com/science/article/abs/pii/S0013935124008302
    3. Nanomaterials-Integrated Electrochemical Biosensors as Pioneering Solutions for Zoonotic Disease Diagnosis
      https://iopscience.iop.org/article/10.1149/1945-7111/ad65bb/meta
    4. Green synthesis of nano-propolis and nanoparticles (Se and Ag) from ethanolic extract of propolis, their biochemical characterization: A review
      https://www.degruyterbrill.com/document/doi/10.1515/gps-2022-0059/html
    5. Exploring bio-nanomaterials as antibiotic allies to combat antimicrobial resistance
      https://iopscience.iop.org/article/10.1088/1758-5090/ad6b45/meta

R. Anitha | Biotechnology | Women Researcher Award

Published-on by Indian Scientist Awards

Women Researcher Award

R. Anitha
Hindustan Institute of Technology and Science (HITS), Chennai, India
R. Anitha
Affiliation Hindustan Institute of Technology and Science (HITS), Chennai
Country India
Scopus ID 57212865457
Documents 13
Citations 56
h-index 4
Subject Area Biotechnology
Event Indian Scientist Awards
ORCID 0000-0002-5775-5370

R. Anitha is a researcher affiliated with the Hindustan Institute of Technology and Science (HITS), Chennai, India, with a research profile in the field of biotechnology. Based on the supplied bibliometric information, her indexed research record comprises 13 documents, 56 citations and an h-index of 4. These indicators provide a quantitative view of the visibility and citation impact of her scholarly output within indexed research literature. [1]

The Women Researcher Award, presented in connection with the Indian Scientist Awards, recognizes research contributions by women researchers across scientific and technological disciplines. R. Anitha’s academic affiliation, biotechnology specialization and documented research activity provide a basis for considering her profile within this recognition category. [2]

Abstract

This academic recognition profile presents the research record of R. Anitha, affiliated with the Hindustan Institute of Technology and Science (HITS), Chennai, India. Her stated subject area is biotechnology, a multidisciplinary field encompassing biological systems, molecular technologies, bioprocessing and related applications. The supplied bibliometric record identifies 13 documents, 56 citations and an h-index of 4. [1] These indicators are presented as descriptive measures of indexed scholarly activity rather than as a standalone assessment of research quality. The profile considers her research background, scholarly contributions, publication activity and potential alignment with the Women Researcher Award under the Indian Scientist Awards.

Keywords

Biotechnology; Women Researcher Award; R. Anitha; Hindustan Institute of Technology and Science; HITS Chennai; Indian Scientist Awards; scientific research; biotechnology research; scholarly publications; research impact; citation analysis; women in science.

Introduction

Biotechnology is an interdisciplinary scientific field that applies biological knowledge, cellular systems, molecular processes and technological methods to the development of research tools, products and processes. Modern biotechnology draws on areas including molecular biology, microbiology, genetics, biochemistry, bioinformatics and bioprocess engineering. The development of large-scale biological datasets and experimental technologies has further expanded the scope of biotechnology research and its applications across scientific disciplines. [3]

Within this broad research environment, academic researchers contribute through experimentation, analysis, publication and collaboration. Bibliometric indicators such as document counts, citation counts and h-index values can provide contextual information about scholarly dissemination, although such indicators should be interpreted alongside research quality, originality, methodological rigor and field-specific publication practices.[1]

R. Anitha’s supplied academic profile places her within biotechnology research at the Hindustan Institute of Technology and Science (HITS), Chennai. Her profile is considered here in relation to the Women Researcher Award and the broader objective of recognizing women whose academic work contributes to scientific research and knowledge development.

Research Profile

R. Anitha is affiliated with the Hindustan Institute of Technology and Science (HITS), Chennai, India, and is identified in the supplied information as a researcher in biotechnology. Her indexed research profile is associated with Scopus author identifier 57212865457. The reported record contains 13 documents, 56 citations and an h-index of 4. [1]

The combination of institutional affiliation and indexed research activity indicates participation in the formal scholarly communication system. Scopus author identifiers are intended to help distinguish researchers and associate scholarly outputs with an author profile, supporting more consistent attribution of publications and citation records. [1]

Profile Summary
  • Researcher: R. Anitha
  • Institution: Hindustan Institute of Technology and Science (HITS), Chennai
  • Country: India
  • Subject area: Biotechnology
  • Scopus documents: 13
  • Reported citations: 56
  • Reported h-index: 4

Research Contributions

The available information identifies biotechnology as R. Anitha’s principal subject area. Biotechnology research commonly involves the investigation and application of biological systems using experimental and analytical approaches. Depending on the specific research specialization, such work may contribute to areas such as molecular analysis, biological production systems, microbial applications, biomolecular studies and technology-enabled biological research. [3]

The supplied bibliometric record of 13 documents indicates a body of indexed scholarly output. Citation activity associated with these publications suggests that the work has received attention within the indexed academic literature. However, the available information does not specify individual publication titles, research methods, datasets or detailed findings; therefore, specific scientific contributions should not be inferred beyond the documented field and bibliometric information. [1]

From an academic perspective, continued contributions to biotechnology may involve generating reproducible experimental evidence, developing useful biological methodologies, collaborating across disciplines and communicating findings through peer-reviewed publications. Such practices are important to the advancement and responsible application of biotechnology research. [3]

Publications

The supplied Scopus information reports 13 indexed documents associated with R. Anitha’s research profile. [1]  Because individual publication titles, journal names, publication years and article-level identifiers were not provided in the source information, this profile does not assign specific publications or bibliographic details that cannot be independently established from the supplied record.

The publication record may be reviewed through the researcher’s Scopus author profile, where available bibliographic information can be examined directly. Citation and document counts can change as databases are updated, indexed records are corrected and additional publications or citations are incorporated.

Research Impact

The supplied bibliometric profile records 56 citations and an h-index of 4 across 13 documents. [1] These figures provide measurable indicators of the dissemination and citation of the researcher’s indexed scholarly work. An h-index of 4 means that, within the source database and its underlying coverage, at least four publications have each received at least four citations.

Bibliometric indicators should nevertheless be interpreted with care. Citation behavior varies considerably between disciplines, publication types, research topics and academic career stages. Database coverage can also differ from the complete publication record of a researcher. Consequently, citation counts and h-index values are most informative when considered together with the substance, quality, originality and practical or scientific relevance of the underlying research. [1]

In biotechnology, research impact may be reflected through scholarly citations as well as methodological contributions, interdisciplinary collaboration, scientific reproducibility, knowledge transfer and potential application of research findings. The available information supports a description of R. Anitha’s indexed scholarly visibility but does not provide sufficient evidence to quantify broader societal or commercial outcomes.

Award Suitability

The Women Researcher Award is intended as a recognition category for women researchers whose academic and scientific activities demonstrate meaningful participation in research. R. Anitha’s documented affiliation with HITS, specialization in biotechnology and indexed scholarly record provide relevant academic credentials for consideration within such a category. [2]

Her reported research metrics include 13 documents, 56 citations and an h-index of 4. [1] These indicators may form part of an overall academic evaluation, but they should not be treated as the sole basis for determining award merit. A comprehensive assessment can also consider research originality, methodological quality, publication venues, collaboration, academic contribution, innovation, mentorship and relevance to the broader scientific community.

Based on the supplied information, R. Anitha’s profile is academically aligned with the subject scope of biotechnology and with the general purpose of recognizing women researchers. Final award eligibility and selection remain subject to the official criteria, verification procedures and evaluation process established by the Indian Scientist Awards organizers. [2]

Conclusion

R. Anitha is a biotechnology researcher affiliated with the Hindustan Institute of Technology and Science (HITS), Chennai, India. The supplied research profile records 13 indexed documents, 56 citations and an h-index of 4. [1] These indicators establish a documented level of scholarly activity and citation visibility within the indexed research literature.

Her specialization in biotechnology and participation in scholarly research provide a reasonable academic basis for consideration under the Women Researcher Award category. The profile is intentionally presented in neutral terms, with bibliometric indicators treated as contextual evidence rather than as a substitute for qualitative assessment of scientific merit. Further evaluation may incorporate individual publications, research originality, methodological contribution, collaboration and broader academic impact.

References

  1. Scopus. Author profile for R. Anitha, Scopus Author ID 57212865457. Bibliometric information supplied for this academic profile, including 13 documents, 56 citations and h-index 4.
    https://www.scopus.com/pages/authors/57212865457
  2. The ENCODE Project Consortium. An integrated encyclopedia of DNA elements in the human genome. Nature, 489, 57–74 (2012). This reference provides broader scientific context for modern biological research and large-scale biotechnology-related approaches.
    https://doi.org/10.1038/nature11247.
  3. ORCID. Researcher identifier associated with the supplied profile.
    ORCID record: 0000-0002-5775-5370.
  4. Author profile for R. Anitha, Google Scholar Profile
    https://scholar.google.com/citations?view_op=view_citation&hl=en&user=2GmnxQwAAAAJ

 

Mahadev Gawas | Deep Learning | Best Researcher Award

Published-on by Indian Scientist Awards

Best Researcher Award

Mahadev Gawas
State Higher Education Council, Government of Goa
Mahadev Gawas
Affiliation State Higher Education Council, Government of Goa
Country India
Scopus ID 56897219000
Documents 33
Citations 254
h-index 9
Subject Area Deep Learning
Event Indian Scientist Awards
ORCID 0000-0001-9933-2934

Mahadev Gawas is an academic and research professional associated with the State Higher Education Council, Government of Goa, India. His scholarly profile is associated with research in the area of deep learning and related computational approaches. Based on the supplied scholarly indicators, his publication record includes 33 documents, 254 citations, and an h-index of 9, reflecting an established record of research dissemination and citation-based academic visibility.[1]

Abstract

This article presents an academic recognition profile of Mahadev Gawas in relation to the Best Researcher Award category of the Indian Scientist Awards. The profile summarizes his institutional association, research specialization in deep learning, scholarly publication indicators, citation record, and research visibility. The available bibliometric information indicates 33 documents, 254 citations, and an h-index of 9, providing measurable indicators of research productivity and scholarly influence. These metrics are considered alongside the broader importance of research continuity, disciplinary relevance, and contribution to knowledge development.[1]

Keywords

Mahadev Gawas; Best Researcher Award; Deep Learning; Artificial Intelligence; Machine Learning; Research Impact; Scholarly Publications; State Higher Education Council; Government of Goa; Indian Scientist Awards.

Introduction

Research recognition provides an opportunity to document scholarly activity through a combination of qualitative and quantitative indicators. Publication output, citation performance, research specialization, institutional engagement, and the continuity of academic work are among the factors commonly considered when assessing a research profile. Bibliometric measures do not independently represent the complete value of scholarship; however, they can provide structured indicators for examining publication and citation patterns within an academic context.[3]

Mahadev Gawas is associated with the State Higher Education Council, Government of Goa, and his identified subject area is deep learning. Deep learning forms an important area within contemporary artificial intelligence and machine learning research, with applications across pattern recognition, language technologies, computer vision, predictive analytics, scientific computing, and other data-intensive domains.[2]

Research Profile

The available researcher profile identifies Mahadev Gawas with the State Higher Education Council, Government of Goa, India. His scholarly specialization is listed in the field of deep learning. The supplied Scopus author profile is associated with Scopus ID 56897219000 and provides a source for reviewing indexed scholarly output and related bibliometric information.[1]

  • Researcher: Mahadev Gawas
  • Affiliation: State Higher Education Council, Government of Goa
  • Country: India
  • Primary Subject Area: Deep Learning
  • Scopus Indexed Documents: 33
  • Reported Citations: 254
  • Reported h-index: 9
  • ORCID: 0000-0001-9933-2934

Research Contributions

Research in deep learning generally involves the development, evaluation, or application of computational models capable of learning representations from complex data. The field has developed through advances in neural network architectures, optimization approaches, representation learning, and increased computational capability. These developments have supported research across multiple scientific and technological disciplines.[2]

Within this academic context, the research profile associated with Mahadev Gawas contributes to the scholarly landscape through documented publications and continuing engagement with a subject area of significant contemporary relevance. The interpretation of individual research contributions should be based on the specific methodologies, publication records, collaborative contexts, and applications represented in the associated scholarly works.[1]

Publications

The supplied bibliometric information reports 33 documents associated with the researcher profile. Scholarly publications provide a documented record of research activity and enable research findings to be examined, cited, discussed, and extended by the wider academic community. Publication records may include journal articles, conference contributions, reviews, and other forms of indexed scholarly communication depending on the coverage of the relevant database.[1]

  1. Indexed scholarly documents provide a measurable record of research dissemination.
  2. Citation activity indicates that published work has been referenced within subsequent scholarly literature.
  3. The h-index provides a combined indicator based on the number of publications and their citation distribution.
  4. Research outputs in deep learning may support theoretical, methodological, computational, and interdisciplinary applications.

Relevant scholarly works can be reviewed through the researcher’s Scopus and Google Scholar profiles. Where publication records include persistent digital identifiers, DOI-based links provide a standardized mechanism for accessing and verifying individual scholarly publications.[4]

Research Impact

The available research indicators report 254 citations and an h-index of 9. Citation metrics are frequently used as one component of bibliometric assessment because they provide information about how often scholarly works are referenced by other publications. Their interpretation, however, should take into account disciplinary citation practices, publication age, database coverage, co-authorship patterns, and differences in research fields.[3]

The research impact of work in deep learning can extend beyond citation counts when computational methods or analytical approaches contribute to scientific understanding, technical development, educational activity, or interdisciplinary problem-solving. A balanced assessment therefore considers both measurable scholarly indicators and the academic relevance of the underlying research contributions.[2]

Award Suitability

The Best Researcher Award category is suitable for evaluating researchers on the basis of sustained academic activity, publication output, citation performance, research relevance, and the quality and continuity of scholarly engagement. The available profile of Mahadev Gawas presents measurable indicators including 33 documents, 254 citations, and an h-index of 9, together with an identified specialization in deep learning.[1]

His association with the State Higher Education Council, Government of Goa, and his documented scholarly profile provide relevant information for consideration within an academic recognition framework. Final award evaluation may additionally consider research quality, originality, societal or technological relevance, leadership, collaboration, and supporting documentation submitted under the applicable award criteria.[5]

Conclusion

Mahadev Gawas represents a research profile associated with deep learning and the State Higher Education Council, Government of Goa. The available scholarly indicators report 33 documents, 254 citations, and an h-index of 9. These measures, together with research specialization and institutional association, provide a structured basis for academic recognition and consideration within the Best Researcher Award category of the Indian Scientist Awards.[1]

The profile reflects the role of documented research activity and scholarly dissemination in evaluating academic contributions. A comprehensive assessment of research distinction should continue to consider the quality, originality, relevance, reproducibility, and longer-term influence of scholarly work alongside quantitative bibliometric indicators.[3]

References

  1. Scopus. “Author Profile: Mahadev Gawas, Scopus ID 56897219000.” Available at: https://www.scopus.com/pages/authors/56897219000.
  2. LeCun, Y., Bengio, Y., and Hinton, G. “Deep Learning.” Nature, 521, 436–444 (2015). DOI: https://doi.org/10.1038/nature14539.
  3. Hirsch, J. E. “An Index to Quantify an Individual’s Scientific Research Output.” Proceedings of the National Academy of Sciences, 102(46), 16569–16572 (2005).
    DOI: https://doi.org/10.1073/pnas.0507655102.
  4. Google Scholar. “Research Publications and Citation Profile.” Available at: Google Scholar Profile
    https://scholar.google.com/citations?hl=en&user=qAvnGBoAAAAJ&view_op=list_works&authuser=1&sortby=pubdate

`