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

`

Mohd Ashraf Dar  | Ubiquitin Biology | Outstanding Scientist Award

Published-on by Indian Scientist Awards

Outstanding Scientist Award

Mohd Ashraf Dar 
University of Kashmir
Mohd Ashraf Dar 
Affiliation University of Kashmir
Country India
Scopus ID 58599680400
Documents 26
Citations 719
h-index 15
Subject Area Ubiquitin Biology
Event  Indian Scientist Awards

Mohd Ashraf Dar  is affiliated with the University of Kashmir, India, and is associated with scholarly work in the field of ubiquitin biology. His research profile, as represented through the supplied bibliometric information, includes 26 indexed documents, 719 citations and an h-index of 15. These indicators provide a quantitative overview of publication activity and scholarly visibility and form part of the broader context for evaluating research contributions and academic recognition.[1]

Abstract

This article presents an academic overview of Mohd Ashraf Dar in relation to the Outstanding Scientist Award of the Indian Scientist Awards. The profile focuses on the supplied institutional affiliation, subject specialization and bibliometric indicators, including publication output, citation record and h-index. Particular attention is given to the relevance of ubiquitin biology, an area of molecular and cellular research concerned with ubiquitin-mediated regulatory mechanisms and their importance in biological processes. The available research indicators are considered as contextual evidence of scholarly activity rather than as stand-alone measures of scientific quality.[1][3]

Keywords

Mohd Ashraf Dar; University of Kashmir; Ubiquitin Biology; Protein Regulation; Molecular Biology; Scientific Research; Bibliometrics; Research Impact; Outstanding Scientist Award; Indian Scientist Awards.

Introduction

Scientific recognition commonly considers a combination of research productivity, scholarly influence, subject expertise, institutional engagement and the relevance of contributions to a particular discipline. Bibliometric information can assist in documenting aspects of a research profile, although publication and citation measures are generally interpreted alongside qualitative assessment of originality, methodological contribution and disciplinary significance.[2]

The subject area associated with this profile is ubiquitin biology, a field that examines how ubiquitin and related molecular pathways participate in the regulation of protein stability, cellular signaling and other biological processes. The ubiquitin system has broad relevance across molecular and biomedical research, making it an important area for fundamental investigation and scientific discussion.[3][4]

Research Profile

Mohd Ashraf Dar is affiliated with the University of Kashmir in India. The supplied Scopus author profile identifies the researcher through Scopus ID 58599680400 and reports 26 documents, 719 citations and an h-index of 15. These data provide a structured summary of indexed research output and citation activity associated with the profile.[1]

  • Affiliation: University of Kashmir.
  • Country: India.
  • Research area: Ubiquitin Biology.
  • Indexed documents: 26.
  • Reported citations: 719.
  • Reported h-index: 15.

Research Contributions

Research in ubiquitin biology addresses regulatory systems in which ubiquitin is attached to target proteins and influences processes such as protein degradation, localization, signaling and cellular regulation. The scientific literature describes ubiquitin-mediated mechanisms as central to the maintenance and adaptation of cellular functions, with continuing relevance to fundamental biology and disease-oriented research.[3][4]

Within this disciplinary context, the research profile associated with Mohd Ashraf Dar may be considered in relation to sustained scholarly participation, indexed publication activity and citation-based visibility. A complete assessment of individual scientific contributions would ordinarily require examination of specific publications, research methods, findings, collaborations and the subsequent use of the work by the relevant research community.[1][2]

Publications

The supplied Scopus profile reports 26 indexed documents associated with the researcher. Publication records can provide access to article-level information, including titles, authorship, source publications and citation data. Such records should be consulted directly when detailed bibliographic verification or subject-specific analysis is required.[1]

  1. Indexed publication record available through the Scopus author profile.[1]
  2. Google Scholar profile provides an additional source for reviewing publication and citation information.[2]
  3. Foundational literature on ubiquitin-mediated regulation provides scientific context for research in ubiquitin biology, including the work reported under .[3]

Research Impact

Based on the supplied bibliometric information, the profile records 719 citations and an h-index of 15. Citation measures may indicate that published work has been referenced within the scholarly literature, while the h-index combines publication and citation thresholds into a single indicator. These measures are useful for descriptive purposes but should be interpreted with awareness of differences among disciplines, publication practices and database coverage.[1][5]

Research impact can also extend beyond numerical indicators through contributions to knowledge development, methodological approaches, scientific collaboration, mentoring and the continuing relevance of research questions. Accordingly, a balanced evaluation of academic impact considers both quantitative evidence and qualitative assessment of the underlying research record.[5]

Award Suitability

The research profile presents several elements relevant to consideration for the Outstanding Scientist Award under the Indian Scientist Awards, including an established institutional affiliation, a defined subject area and measurable evidence of indexed publication and citation activity. The reported record of 26 documents, 719 citations and an h-index of 15 provides a quantitative basis for reviewing scholarly engagement.[1]

Suitability for academic recognition should ultimately be determined through the applicable evaluation procedures, criteria and documentation of the awarding organization. Consideration may include the originality and relevance of research, disciplinary contribution, sustained scholarly activity and other qualitative or quantitative factors specified by the award process.

Conclusion

Mohd Ashraf Dar’s academic profile, as represented by the supplied institutional and bibliometric information, reflects an active research record associated with ubiquitin biology. The reported publication, citation and h-index figures provide useful context for understanding the profile’s scholarly visibility. In the context of the Outstanding Scientist Award, these indicators may support academic review when considered together with the quality, originality and broader significance of the underlying research contributions.[1][5]

References

  1. Scopus Author Profile, ID 58599680400. Access to indexed publication and citation information associated with the researcher profile.
    https://www.scopus.com/pages/authors/58599680400
  2. Google Scholar Profile. Publication and citation information.
    https://scholar.google.com/citations?user=6utuK90AAAAJ&hl=en&oi=sra
  3. Flavonoids as promising molecules in the cancer therapy: An insight
    https://www.sciencedirect.com/science/article/pii/S2590257123000159
  4. Komander, D., & Rape, M. The ubiquitin code. Annual Review of Biochemistry. DOI: https://doi.org/10.1146/annurev-biochem-060310-170328.
  5. Hirsch, J. E. An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences. DOI: https://doi.org/10.1073/pnas.0507655102.

Arpita Ghosh Mitra | Physiotherapy | Innovative Research Award

Published-on by Indian Scientist Awards

Innovative Research Award

Arpita Ghosh Mitra
Rajiv Gandhi Cancer Institute and Research Centre, India
Arpita Ghosh Mitra
Affiliation Rajiv Gandhi Cancer Institute and Research Centre
Country India
Scopus ID 56032630600
Documents 2
Citations 104
h-index 1
Subject Area Physiotherapy
Event  Indian Scientist Awards

Arpita Ghosh Mitra is a researcher affiliated with RGCIRC, India, whose scholarly profile is associated with the field of physiotherapy. The available bibliometric information linked to the Scopus author profile records two documents, 104 citations, and an h-index of 1. Her research profile is considered in the context of the Innovative Research Award of the Indian Scientist Awards, which recognizes scholarly activity, research contribution, and the potential relevance of academic work to the advancement of science and professional practice. [1]

Abstract

This article presents an academic recognition profile of Arpita Ghosh Mitra, affiliated with RGCIRC in India, in relation to the Innovative Research Award category of the Indian Scientist Awards. The profile summarizes available information regarding her subject area, publication record, citation indicators, and scholarly visibility. Physiotherapy research encompasses evidence-based approaches to functional recovery, rehabilitation, movement science, and patient-centered care, making systematic research and the dissemination of findings important components of academic and professional development. [2] The recognition profile is intended to provide a neutral overview of the available research indicators rather than an assessment of clinical effectiveness or a ranking of individual researchers.

Keywords

Keywords: Arpita Ghosh Mitra; Innovative Research Award; Physiotherapy; Rehabilitation Research; Clinical Research; RGCIRC; Indian Scientist Awards; Scopus; Research Impact; Academic Recognition.

Introduction

Research in physiotherapy contributes to the development and evaluation of interventions intended to improve mobility, function, independence, and quality of life. The field commonly draws upon clinical observation, rehabilitation science, biomechanics, exercise science, and outcome-based evaluation. As healthcare increasingly emphasizes evidence-informed practice, published research and scholarly communication provide mechanisms through which findings can be examined, compared, and incorporated into wider academic discussion. [2]

Within this context, the Innovative Research Award category provides a framework for recognizing researchers whose academic activities demonstrate engagement with research, knowledge generation, and disciplinary development. Consideration of research profiles may include publication records, citations, institutional affiliation, subject relevance, and the broader contribution of scholarly work to a field of study. [3]

Research Profile

Arpita Ghosh Mitra is affiliated with RGCIRC and is associated with physiotherapy as the identified subject area. The available Scopus-linked author information records two documents, 104 citations, and an h-index of 1. These indicators represent bibliometric data associated with the available author profile and should be interpreted in relation to database coverage, publication type, citation practices, and the characteristics of the relevant research field. [1]

  • Affiliation with RGCIRC in India.
  • Subject area identified as physiotherapy.
  • Scopus author profile available under author identifier 56032630600.
  • Available bibliometric information records 2 documents and 104 citations.
  • Available h-index value recorded as 1.

Research Contributions

The research contribution profile associated with physiotherapy is situated within the broader objective of developing and evaluating approaches that support rehabilitation and functional health. Research in this discipline may address clinical assessment, therapeutic exercise, physical rehabilitation, functional outcomes, interdisciplinary care, and the translation of scientific evidence into professional practice. The contribution of individual studies is generally assessed through their methodological quality, relevance, reproducibility, scholarly discussion, and potential usefulness to subsequent research or practice. [2]

Based on the available profile information, Arpita Ghosh Mitra’s research activity forms part of the scholarly landscape represented through indexed publications and citations. Citation counts may indicate that published work has been referenced by other scholarly outputs, although citation metrics alone do not establish the quality, originality, or practical impact of research. Bibliometric indicators are therefore best considered alongside the subject context and the content of individual publications. [4]

Publications

The available Scopus author profile associated with Arpita Ghosh Mitra records two indexed documents. Publication records provide a structured basis for identifying scholarly outputs and their associated citation activity. For a complete and current listing of indexed documents, readers may consult the linked Scopus author profile directly. [1]

  1. Indexed publication record associated with the Scopus author profile for Arpita Ghosh Mitra.
  2. Additional indexed document listed within the available Scopus author record.

Where publication metadata includes a registered Digital Object Identifier, the DOI provides a persistent route to the corresponding scholarly record. DOI references should be consulted through the individual publication metadata or publisher record, as a DOI is specific to each article and should not be inferred when it is not explicitly available. The DOI system is maintained to support persistent identification and linking of scholarly content. [5]

Research Impact

The available profile records 104 citations for the indexed publication set. Citation information can provide one indication of scholarly attention, but its interpretation requires consideration of differences between disciplines, publication dates, database indexing practices, and patterns of citation. Responsible research assessment generally recommends that quantitative indicators be interpreted together with qualitative evidence and direct evaluation of research content. [4]

In physiotherapy and rehabilitation research, impact may extend beyond citation activity to include methodological influence, contribution to clinical knowledge, professional education, interdisciplinary collaboration, and the potential application of evidence in healthcare settings. Such forms of influence may develop over time and are not fully represented by a single bibliometric indicator. [2]

Award Suitability

The available academic profile demonstrates identifiable research activity within the physiotherapy subject area and provides bibliometric information through an indexed Scopus author record. These elements offer a basis for consideration within an academic recognition framework such as the Innovative Research Award, subject to the event’s applicable nomination, evaluation, verification, and selection procedures. [1] [3]

Suitability for recognition is not determined solely by publication or citation totals. A balanced evaluation may consider the relevance of research, originality of approach, methodological standards, contribution to the discipline, scholarly dissemination, and evidence supporting the broader significance of the research activity. Final recognition remains dependent on the criteria and assessment procedures established by the awarding organization.

Conclusion

Arpita Ghosh Mitra’s available academic profile identifies an affiliation with RGCIRC, India, and a research association with physiotherapy. The linked Scopus record provides the reported bibliometric indicators of two documents, 104 citations, and an h-index of 1. In the context of the Innovative Research Award of the Indian Scientist Awards, this profile may be considered as part of a broader assessment of scholarly activity and research contribution. [1]

Continued research dissemination, transparent documentation of scholarly outputs, and engagement with evidence-based academic practice remain important for the development of physiotherapy and rehabilitation research. The interpretation of research achievements should remain grounded in verifiable evidence and appropriate disciplinary context.

References

  1. Scopus. Author Profile: Arpita Ghosh Mitra, Author ID 56032630600. Available at: https://www.scopus.com/pages/authors/56032630600.

  2. Modulation of Conjunctival Goblet Cell Function by Inflammatory Cytokines
    https://onlinelibrary.wiley.com/doi/full/10.1155/2013/636812

  3. The Role of MicroRNAs Carried by Extracellular Vesicles in Tumorigenesis Through Reprogramming the Mitochondrial Information Processing System
    https://www.mdpi.com/1422-0067/27/11/5112

  4. The Ontology of Urban Governance: A Framework for Pathways to Sustainable Urban Transition
    https://www.mdpi.com/2413-8851/8/2/38

  5. Thymosin β4 Is an Endogenous Iron Chelator and Molecular Switcher of Ferroptosis
    https://www.mdpi.com/1422-0067/23/1/551

Pragnya Donthineni | Ophthalmology | Innovative Research Award

Published-on by Indian Scientist Awards

Innovative Research Award

Pragnya Donthineni
LV Prasad Eye Institute, Hyderabad, India
Pragnya Donthineni
Affiliation LV Prasad Eye Institute, Hyderabad
Country India
Scopus ID 57208902480
Documents 1
Citations 82
h-index 1
Subject Area Ophthalmology
Event Indian Scientist Awards
ORCID 0000-0002-7624-2239

Pragnya Donthineni is an ophthalmology researcher and clinician affiliated with the LV Prasad Eye Institute (LVPEI), Hyderabad, India. Her documented academic work includes research and clinical scholarship in cornea, ocular surface disorders, dry eye disease, cataract-related ocular surface considerations, and related areas of ophthalmic care. Her research record includes publications addressing clinical management, ocular surface disease, corneal disorders, and ophthalmic outcomes, reflecting an interdisciplinary connection between clinical ophthalmology and evidence-based research. [1][2]

Abstract

This academic recognition profile presents the research background and scholarly contributions of Pragnya Donthineni, an ophthalmology professional associated with the LV Prasad Eye Institute in Hyderabad. Her documented research activities encompass corneal and ocular-surface conditions, dry eye disease, cataract-related ocular surface considerations, ocular pain, and other clinically relevant ophthalmic topics. Published work demonstrates engagement with evidence-based clinical investigation, practice guidelines, retrospective clinical analysis, and collaborative ophthalmic research. [1][2][3]

The profile is presented in the context of the Innovative Research Award under the Indian Scientist Awards. The award assessment should be understood as a recognition framework rather than an independent verification of bibliometric indicators. Bibliometric values in the profile are reproduced from the information supplied for this article.

Keywords

Ophthalmology; Innovative Research Award; Pragnya Donthineni; LV Prasad Eye Institute; cornea; ocular surface disease; dry eye disease; cataract surgery; ophthalmic research; clinical research; corneal disorders; evidence-based ophthalmology.

Introduction

Ophthalmology combines clinical medicine, surgical practice, biomedical research, and translational investigation to address diseases affecting vision and ocular function. Within this broad discipline, corneal and ocular-surface research has particular relevance because disorders involving the tear film, cornea, conjunctiva, and associated structures can influence visual quality, comfort, surgical outcomes, and quality of life.

Pragnya Donthineni’s documented academic work is closely associated with the cornea and ocular-surface research environment at LV Prasad Eye Institute. The institutional affiliation is supported by her ORCID record, which identifies employment at LV Prasad Eye Institute in Hyderabad and describes her professional role in cornea and anterior-segment services. [4]

Her published research includes contributions to clinical questions involving dry eye disease, cataract surgery, ocular surface disorders, corneal pathology, and ocular pain. Such areas require integration of clinical observation, diagnostic assessment, treatment considerations, and interpretation of outcomes within established ophthalmic practice. [5]

Research Profile

The supplied research profile identifies Pragnya Donthineni’s primary subject area as Ophthalmology, with institutional affiliation at the LV Prasad Eye Institute in Hyderabad, India. Her ORCID record further identifies a professional appointment at LV Prasad Eye Institute and records a fellowship in cornea and anterior segment services. [4]

The available scholarly record indicates a collaborative research profile, with publications involving clinicians and investigators from LV Prasad Eye Institute and other ophthalmic research institutions. This collaborative model is particularly relevant to translational ophthalmology, where clinical findings, diagnostic approaches, treatment strategies, and outcomes are frequently evaluated across multiple specialties and research settings. [6]

Research Contributions

The documented contributions associated with Pragnya Donthineni span several clinically significant areas of ophthalmology. Her research has included work on dry eye disease, cataract surgery in patients with ocular-surface disease, corneal conditions, ocular surface inflammatory and neoplastic disorders, and ophthalmic pain. [1]

  • Research addressing the diagnosis, clinical approach, and management of aqueous-deficient dry eye disease through evidence-based practice guidance.
  • Investigation of the relationship between dry eye disease and cataract surgery, including visual outcomes and postoperative considerations.
  • Participation in research concerning corneal and ocular-surface disorders, including uncommon and clinically challenging conditions.
  • Contribution to research and scholarly discussion concerning ocular pain and emerging approaches to its pharmacological management.
  • Collaborative research involving clinical ophthalmology, corneal medicine, ocular-surface science, and related translational fields.

These contributions are relevant to contemporary ophthalmic practice because ocular-surface disease can affect patient symptoms, visual function, surgical planning, and postoperative recovery. Research that systematically evaluates these issues can support the development and refinement of clinically informed approaches to patient care. [1] [2]

Publications

The following selected publications are included to document representative areas of Pragnya Donthineni’s research activity. Publication details and DOI information are linked to scholarly records where available.

  1. Donthineni PR, Doctor MB, Shanbhag S, et al. Aqueous-deficient dry eye disease: Preferred practice pattern guidelines on clinical approach, diagnosis, and management. Indian Journal of Ophthalmology. 2023;71(4):1332–1347.
  2. Donthineni PR, Das AV, Shanbhag SS, Basu S. Cataract Surgery in Dry Eye Disease: Visual Outcomes and Complications. Frontiers in Medicine. 2020;7:575834.
  3. Donthineni PR, Munger W, Galor A. Investigating recent advances in pharmacotherapy for acute and chronic ocular pain post-cataract surgery. Expert Opinion on Pharmacotherapy. 2024;25(16):2107–2113.
  4. Sharma S, Donthineni PR, Iyer G, Chodosh J, et al. Keratoprosthesis in dry eye disease. Indian Journal of Ophthalmology. 2023;71(4):1154–1166.
  5. Nibandhe A, Kaliki S, Jakati S, Shanbhag S, Basu S, Donthineni PR. Ocular surface pseudoepitheliomatous hyperplasia secondary to allergic eye disease: clinical features and management. Eye. 2024;38(7):1320–1326.

The publication record demonstrates a research trajectory centered on clinically relevant ophthalmic problems, particularly conditions affecting the cornea and ocular surface. The selected works also illustrate collaborative authorship and multidisciplinary engagement with clinical ophthalmology and related research domains.

Research Impact

Research impact in ophthalmology can be evaluated through several dimensions, including peer-reviewed publications, clinical relevance, citation activity, collaboration, contribution to evidence-based guidance, and the potential applicability of findings to patient care. Pragnya Donthineni’s documented publications address practical clinical questions involving dry eye disease, ocular surface disorders, cataract surgery, corneal conditions, and ocular pain. [1] [2] [3]

The supplied bibliometric profile records 1 document, 82 citations, and an h-index of 1. These figures are included as supplied for the recognition profile and should be interpreted as time-dependent indicators that may vary between databases and over time. Bibliometric measures alone do not establish the quality or significance of individual research contributions.

The existence of peer-reviewed publications addressing clinical practice questions provides an additional dimension to the research profile. For example, published work on dry eye disease has addressed clinical approaches and management recommendations, while other research has examined outcomes and complications associated with cataract surgery in patients with dry eye disease. [1] [2]

Award Suitability

The Innovative Research Award is presented in this article as an academic recognition category associated with the Indian Scientist Awards. Suitability for such recognition may be considered in relation to the relevance, originality, consistency, and potential application of a researcher’s scholarly contributions.

  • Research relevance: The documented work addresses clinically important ophthalmic conditions involving the cornea and ocular surface. [1] [2]
  • Clinical orientation: Several publications focus on questions directly connected with diagnosis, management, surgical outcomes, and patient care. [1] [2] [3]
  • Collaborative scholarship: The publication record includes collaborations with ophthalmologists and researchers across institutions and specialties. [3]
  • Evidence-based contribution: Participation in preferred-practice-pattern guidance demonstrates engagement with the synthesis and interpretation of clinical evidence. [1]
  • Research continuity: The documented works cover multiple related ophthalmic topics, indicating continuing engagement with corneal and ocular-surface research.

On the information available for this profile, the research record provides identifiable evidence of scholarly activity in ophthalmology and clinically oriented research. Final award decisions, however, should remain subject to the official eligibility requirements, documentation review, peer evaluation, and assessment procedures established by the Indian Scientist Awards.

Conclusion

Pragnya Donthineni’s academic profile reflects a focus on ophthalmology, with particular involvement in corneal and ocular-surface research. Her documented publications address dry eye disease, cataract surgery, ocular pain, corneal pathology, and other clinically relevant ophthalmic conditions.

Within the context of the Innovative Research Award, these contributions provide a basis for considering her work as part of an academic recognition process focused on research activity and clinical relevance. The profile should be read together with the underlying scholarly records and the official award evaluation framework.

References

  1. Donthineni PR, Doctor MB, Shanbhag S, et al. Aqueous-deficient dry eye disease: Preferred practice pattern guidelines on clinical approach, diagnosis, and management. Indian Journal of Ophthalmology. 2023;71(4):1332–1347.
    https://doi.org/10.4103/IJO.IJO_2808_22
  2. Donthineni PR, Das AV, Shanbhag SS, Basu S. Cataract Surgery in Dry Eye Disease: Visual Outcomes and Complications. Frontiers in Medicine. 2020;7:575834.
    https://doi.org/10.3389/fmed.2020.575834
  3. Donthineni PR, Munger W, Galor A. Investigating recent advances in pharmacotherapy for acute and chronic ocular pain post-cataract surgery. Expert Opinion on Pharmacotherapy. 2024;25(16):2107–2113.
    https://doi.org/10.1080/14656566.2024.2421323
  4. ORCID. Pragnya Donthineni — ORCID record. Employment and works record associated with LV Prasad Eye Institute.
    https://orcid.org/0000-0002-7624-2239
  5. Sharma S, Donthineni PR, Iyer G, Chodosh J, et al. Keratoprosthesis in dry eye disease. Indian Journal of Ophthalmology. 2023;71(4):1154–1166.
    https://doi.org/10.4103/IJO.IJO_2817_22
  6. Nibandhe A, Kaliki S, Jakati S, Shanbhag S, Basu S, Donthineni PR. Ocular surface pseudoepitheliomatous hyperplasia secondary to allergic eye disease: clinical features and management. Eye. 2024;38(7):1320–1326.
    https://doi.org/10.1038/s41433-023-02897-y
  7. Donthineni PR, et al. Management of cataract in dry eye disease: Preferred practice pattern guidelines. Indian Journal of Ophthalmology. 2023;71(4):1364–1372.
    https://doi.org/10.4103/IJO.IJO_2807_22