Alok Singh Chauhan | Machine Learning | Innovative Research Award

Published-on by Indian Scientist Awards
Innovative Research Award
Alok Singh Chauhan
Galgotias University, Greater Noida, India
Alok Singh Chauhan
Affiliation Galgotias University, Greater Noida, India
Country India
Scopus ID 57924434100
Documents 57
Citations 409
h-index 10
Subject Area Machine Learning
Event Indian Scientist Awards
ORCID 0000-0002-9144-4381

Alok Singh Chauhan is a researcher affiliated with Galgotias University, Greater Noida, India, whose Scopus profile records research activity in areas associated with machine learning and related computational methods. The available Scopus Preview profile lists 57 documents, 409 citations and an h-index of 10, providing a bibliometric overview of the researcher’s indexed scholarly output and citation impact. The profile also lists recent work involving deep learning, machine learning classification, graph neural networks, parameter-efficient fine-tuning and predictive modelling. [1]

This academic recognition page presents information derived from the supplied Scopus profile and selected publications displayed within it. The article describes the documented research profile without making claims beyond the available source material.

Abstract

Alok Singh Chauhan is affiliated with Galgotias University, Greater Noida, India, and is represented in the supplied Scopus Preview profile as a researcher with a documented publication and citation record. The profile reports 57 indexed documents, 409 citations and an h-index of 10. Recent publications shown in the profile include studies of deep learning-based cognitive workload classification, supervised machine learning classifiers for monkeypox disease classification, graph neural networks for fraudulent transaction detection, parameter-efficient fine-tuning for continual image classification, and machine learning for shipment delay prediction. [1]

Keywords

Machine Learning; Deep Learning; Graph Neural Networks; Classification; Predictive Modelling; Cognitive Workload; Fraud Detection; Image Classification; Shipment Delay Prediction; Artificial Intelligence.

Introduction

Machine learning and deep learning are represented across the research works listed in the supplied Scopus profile. Chauhan’s recent indexed publications demonstrate application-oriented research involving classification, predictive modelling and neural-network-based approaches. The listed works span domains including cognitive workload analysis, healthcare-related classification, financial fraud detection, image classification and logistics prediction. [1]

The available profile indicates collaborative research activity, with multiple publications involving co-authors from different research and academic settings. The Scopus Preview page reports 154 co-authors associated with the profile. [1]

Research Profile

The supplied Scopus Preview profile identifies Chauhan, Alok Singh and associates the researcher with Galgotias University, Greater Noida, India. The profile provides the Scopus Author ID 57924434100 and ORCID identifier 0000-0002-9144-4381. At the time represented in the supplied document, the profile records 57 documents, 409 citations and an h-index of 10. [1]

Bibliometric indicator Value reported in supplied profile
Documents 57
Citations 409
h-index 10
Co-authors 154

Research Contributions

The publication titles displayed in the supplied profile indicate several identifiable areas of application within machine learning and deep learning:

  • Deep learning-based classification of cognitive workload using functional connectivity features, representing an application of learning methods to cognitive workload analysis. [1]
  • Comparative analysis of supervised machine learning classifiers integrated with deep learning models for monkeypox disease classification.
  • Development of a risk-sensitive graph neural network model for fraudulent transaction detection. [1]
  • Evaluation of parameter-efficient fine-tuning strategies for continual image classification.
  • Application of machine learning modelling to shipment delay prediction. [1]

Collectively, these publications indicate an application-oriented research profile in which machine learning and deep learning techniques are examined for classification, prediction and detection tasks across multiple domains. The supplied profile does not provide sufficient methodological detail to independently assess the comparative performance of the models described in the publication titles.

Publications

The supplied Scopus Preview document displays several recent publications associated with Alok Singh Chauhan. The following list preserves the publication information available in that source:

  1. V. Khemchandani, V. A. S. Chauhan, Alok Singh Chauhan, S. Fatima, D. S. Srivastava, V. H. Abdullayev, et al. Deep Learning-Based Classification of Cognitive Workload Using Functional Connectivity Features. Advance Sustainable Science, Engineering and Technology, 2026. The supplied profile records 1 citation for this publication. [1]
  2. N. Chauhan, S. Yadav, Alok Singh Chauhan. Comparative analysis of supervised machine learning classifiers for classification of Monkeypox disease integrated with deep learning models. International Journal of System Assurance Engineering and Management, 2026. [1]
  3. S. Srivastava, V. Gupta, Alok Singh Chauhan, S. Kumar, S. Rani, et al. ECCFD-GNN: A Novel Risk-Sensitive Graph Neural Network Model for Fraudulent Transaction Detection. Advance Sustainable Science, Engineering and Technology, 2026. [1]
  4. N. Agarwal, Alok Singh Chauhan, P. A. H. Bours. Comparative Evaluation of Parameter-Efficient Fine-Tuning Strategies for Continual Image Classification. Advance Sustainable Science, Engineering and Technology, 2026. [1]
  5. P. Vishwari, R. N. Thakker, S. Verma, Alok Singh Chauhan. Machine Learning Model for Shipment Delay Prediction. Proceedings of the International Conference on Circuit, Power and Computing Technologies, ICCPCT 2026, 2026. [1]

No DOI identifiers are provided for these publications in the supplied PDF. Accordingly, no DOI has been inferred or added to avoid introducing bibliographic information not supported by the source.

Research Impact

The supplied Scopus profile reports 409 citations across 57 documents and an h-index of 10. These figures provide quantitative indicators of the indexed publication and citation record represented by the profile.  The profile also reports 154 co-authors, indicating substantial collaborative activity within the indexed record.

The recent publications shown in the source demonstrate research applications across cognitive workload analysis, disease classification, financial fraud detection, continual image classification and logistics prediction. The supplied document does not provide sufficient evidence to attribute specific real-world deployments, commercial outcomes or societal effects to these studies.

Award Suitability

For consideration under the Innovative Research Award associated with the Indian Scientist Awards, the available profile provides documented evidence of research activity in machine learning and related computational methods. The record includes 57 Scopus-indexed documents, 409 citations and an h-index of 10, together with recent publications addressing multiple machine-learning applications. [1]

The documented publication themes are relevant to an award category focused on research innovation, particularly because the listed works address diverse computational problems using supervised learning, deep learning, graph neural networks and parameter-efficient fine-tuning. Final award decisions, however, should be based on the applicable award criteria and the complete submitted research record rather than bibliometric indicators alone.

Conclusion

Alok Singh Chauhan’s supplied Scopus profile documents an active research record affiliated with Galgotias University, Greater Noida, India. The profile reports 57 documents, 409 citations and an h-index of 10, alongside recent research addressing machine learning and deep learning applications in areas such as cognitive workload classification, disease classification, fraud detection, image classification and shipment-delay prediction. [1] These documented characteristics provide the principal academic information presented on this recognition page.

References

  1. Elsevier B.V. Scopus Preview Author Profile: Chauhan, Alok Singh. Galgotias University, Greater Noida, India. Scopus Author ID: 57924434100. Supplied profile records 57 documents, 409 citations, h-index 10 and 154 co-authors, with selected publications from 2026.
    https://www.scopus.com/authid/detail.uri?authorId=57924434100
  2. SQL injection attack: Quick view
    https://map.researchcommons.org/mjcs/vol3/iss1/6/
  3. Artificial intelligence techniques based on federated learning in smart healthcare
    https://www.taylorfrancis.com/chapters/edit/10.1201/9781003489368-5/
  4. Comparative analysis of supervised machine and deep learning algorithms for kyphosis disease detection
    https://www.mdpi.com/2076-3417/13/8/5012

Anushka Masand | Pure Mathematics | Innovative Research Award

Published-on by Indian Scientist Awards

Innovative Research Award

Anushka Masand
Shanti Niketan Public School, India

Researcher Profile
Name Anushka Masand
Affiliation Shanti Niketan Public School
Country India
Subject Area Pure Mathematics
Event Indian Scientist Awards
ORCID 0009-0002-6968-5346

Anushka Masand is associated with Shanti Niketan Public School, India, with Pure Mathematics identified as the subject area for recognition under the Innovative Research Award at the Indian Scientist Awards. This academic recognition profile presents the available affiliation and subject information in a structured format while distinguishing supplied profile information from bibliographic indicators that have not been provided.

Abstract

This academic recognition profile concerns Anushka Masand of Shanti Niketan Public School, India, whose stated subject area is Pure Mathematics. The profile is presented in the context of the Innovative Research Award associated with the Indian Scientist Awards. Pure Mathematics encompasses the study of abstract mathematical structures, logical relationships, proof, and foundational concepts, with applications extending across mathematics and related scientific disciplines. The available information establishes the researcher’s institutional affiliation, country, subject area, award category, event, and ORCID identifier. Bibliometric indicators such as Scopus documents, citations, and h-index have not been supplied and are therefore not represented as verified measurements.

Keywords

Anushka Masand; Pure Mathematics; Mathematical Research; Innovative Research Award; Indian Scientist Awards; Shanti Niketan Public School; Academic Recognition; Mathematics.

Introduction

Pure Mathematics is concerned primarily with the development and investigation of mathematical concepts, structures, relationships, and proofs. Its major areas include algebra, analysis, geometry, number theory, topology, logic, and related fields. Mathematical results are commonly evaluated through the clarity of definitions, rigor of proofs, consistency of arguments, and significance of the problems addressed. Standard scholarly practice therefore places emphasis on verifiable research outputs and clearly documented contributions [1].

Within an academic recognition context, an individual’s research profile may be considered through information such as institutional affiliation, subject specialization, publications, scholarly impact, and persistent researcher identifiers. ORCID provides a persistent identifier designed to distinguish researchers and connect them with their scholarly activities [2].

Research Profile

Anushka Masand is identified in the supplied recognition information as being affiliated with Shanti Niketan Public School in India and working within the subject area of Pure Mathematics. The profile also provides the ORCID identifier 0009-0002-6968-5346. ORCID identifiers are intended to provide persistent and unique identification of researchers across scholarly systems [2].

Profile element Available information
Researcher Anushka Masand
Institution Shanti Niketan Public School
Country India
Subject area Pure Mathematics
ORCID 0009-0002-6968-5346

Research Contributions

The available profile information identifies Pure Mathematics as the relevant subject area but does not provide a detailed list of research projects, mathematical results, datasets, patents, grants, or specific scholarly contributions. Accordingly, no particular theorem, methodology, publication, or research finding is attributed to Anushka Masand without supporting bibliographic evidence.

  • Subject specialization: Pure Mathematics.
  • Institutional affiliation: Shanti Niketan Public School.
  • Researcher identifier: ORCID 0009-0002-6968-5346.
  • Specific research outputs: not provided in the supplied information.

Publications

No publication list, article titles, journal information, conference records, or DOI identifiers were supplied with the profile information available for this page. Consequently, specific publications are not attributed to Anushka Masand in order to avoid creating unverifiable bibliographic records. Publication information can be incorporated when supported by an institutional profile, ORCID record, publisher page, or other authoritative bibliographic source.

Research Impact

Research impact can be documented using multiple forms of evidence, including scholarly publications, citations, collaboration, adoption of research findings, educational contributions, and other demonstrable outcomes. Citation counts and related bibliometric indicators should be interpreted in relation to field, publication age, database coverage, and author identity matching rather than treated as standalone measures of research quality [3].

For the present profile, Scopus ID, document count, citation count, and h-index were not provided. These fields are therefore marked as unavailable rather than estimated. The absence of a supplied bibliometric value should not be interpreted as evidence for or against research impact.

Award Suitability

The supplied information associates Anushka Masand with the Innovative Research Award under the Indian Scientist Awards and identifies Pure Mathematics as the relevant subject area. The profile documents the stated institutional affiliation, country, and researcher identifier. A complete scholarly assessment would ordinarily require evidence concerning research outputs, originality, methodological or mathematical contribution, and other criteria specified by the relevant award process.

This page is a structured academic recognition profile rather than an independent bibliometric evaluation. The award event is identified as Indian Scientist Awards, and the official event website is provided in the External Links section.

Conclusion

Anushka Masand is presented in the supplied information as a researcher associated with Shanti Niketan Public School, India, with Pure Mathematics as the stated subject area and the Innovative Research Award as the recognition category. The profile includes an ORCID identifier, while detailed bibliometric and publication information remains unspecified. Further scholarly documentation can provide a more comprehensive account of research contributions and impact.

References

  1. The Encyclopaedia Britannica, “Mathematics,” provides general background on mathematics as a discipline concerned with quantity, structure, space, and change. .https://www.britannica.com/science/mathematics
  2. ORCID, “About ORCID,” describes ORCID as a persistent identifier and infrastructure for distinguishing researchers and connecting research activities. https://orcid.org/0009-0002-6968-5346
  3. Hirsch, J. E. (2005). “An index to quantify an individual’s scientific research output.” Proceedings of the National Academy of Sciences, 102(46), 16569–16572. DOI: https://doi.org/10.1073/pnas.0507655102.

  4. Diagonal Cofactor Relations and Low rank structure in Sequential Integer matrices
    https://doi.org/10.1073/pnas.0507655102.

Swaroop Kumar Mandal | Energy material and nanocomposite | Best Researcher Award

Published-on by Indian Scientist Awards

Best Researcher Award

Swaroop Kumar Mandal

Dr. D. Y. Patil Institute of Technology, Pune, India

 Swaroop Kumar Mandal
Affiliation  D. Y. Patil Institute of Technology, Pune
Country India
Scopus ID 57212403623
Documents 25
Citations 184
h-index 10
Subject Area Energy material and nanocomposite
Event Indian Scientist Awards
ORCID 0000-0001-5149-8249

 Swaroop Kumar Mandal is affiliated with the Dr. D. Y. Patil Institute of Technology, Pune, India, and is represented in the Scopus Preview author profile by Scopus Author ID 57212403623. The available profile records 25 documents, 184 citations and an h-index of 10. The profile also identifies publications concerning nanofluids, heat transfer, thermo-physical properties and materials-related research, including work involving MWCNT and Fe3O4. [1]

Abstract

This article presents an academic recognition profile for  Swaroop Kumar Mandal in connection with the Best Researcher Award under the Indian Scientist Awards. The available Scopus Preview record identifies Dr. Mandal with the Dr. D. Y. Patil Institute of Technology, Pune, and reports 25 documents, 184 citations and an h-index of 10. The indexed publication record includes research addressing thermo-physical properties, nanofluids, heat transfer and entropy generation, with examples involving MWCNT-based systems and Fe3O4 doping. [1]

Keywords

Energy materials; nanocomposites; nanofluids; MWCNT; Fe3O4; thermo-physical properties; heat transfer; entropy generation; materials research; Scopus; Indian Scientist Awards.

Introduction

Research in energy materials and nanocomposite systems encompasses the development and characterization of materials and engineered fluids intended to modify thermal and transport properties. Within this broad area, nanofluids and nanoparticle-enhanced systems are studied for their relationships with heat transfer, thermo-physical behavior and entropy generation. The publication records available in  Mandal’s Scopus Preview profile provide examples of research situated within these themes.[1]

Research Profile

The supplied Scopus Preview profile lists Dr. Swaroop Kumar Mandal as an author associated with the D. Y. Patil Institute of Technology in Pune, India. The record identifies Scopus Author ID 57212403623 and ORCID 0000-0001-5149-8249. At the time represented by the supplied profile, the bibliometric record contains 25 documents, 184 citations and an h-index of 10. [1]

Profile Attribute Available Information
Researcher Dr. Swaroop Kumar Mandal
Institution Dr. D. Y. Patil Institute of Technology, Pune, India
Scopus Author ID 57212403623
Documents 25
Citations 184
h-index 10
Subject Area Energy material and nanocomposite

Research Contributions

The available publication entries indicate research activity in thermal-fluid and materials-related topics. One 2026 article, titled Enhancing the Thermo-physical properties of Fe3O4 doping with MWCNT, is listed in Materials Letters. The record associates the publication with S. K. Mandal and co-authors and identifies the study as concerning the thermo-physical properties of a system involving Fe3O4 and MWCNT. [1]

A second 2026 article listed in the supplied profile is titled Augmented heat transfer and entropy generation in structured minichannels using MWCNT–water nanofluids. The publication appears in Materials Letters and lists Swaroop Kumar Mandal among its authors. Its title identifies heat transfer, entropy generation, structured minichannels and MWCNT–water nanofluids as the principal research themes.

  • Investigation of thermo-physical properties in nanoparticle-enhanced material systems.
  • Research involving MWCNT-based nanofluids and nanocomposite-related systems.
  • Analysis of heat transfer behavior and entropy generation in engineered flow configurations.
  • Application-oriented research associated with energy materials and nanocomposite systems.

Publications

The supplied Scopus Preview extract displays selected records from a profile containing 25 documents. Because the supplied source is a limited Scopus Preview view, the publication list below is restricted to the records visible in the document. [1]

  1. Mandal, Swaroop Kumar; Joshi, Yogesh G.; Jash, Chitradeep; Pawar, Amol; Deshmukh, Rahul G. Enhancing the Thermo-physical properties of Fe3O4 doping with MWCNT. Materials Letters, 2026. [1]
  2. Kumar, Abhishek; Mandal, Swaroop Kumar; Hassan, M. A. Augmented heat transfer and entropy generation in structured minichannels using MWCNT–water nanofluids. Materials Letters, 2026.

No DOI is provided for either publication in the supplied PDF extract. DOI identifiers have therefore not been added in order to avoid introducing bibliographic information that is not supported by the supplied source.

Research Impact

The supplied Scopus Preview profile reports 184 citations across 25 documents and an h-index of 10. These figures provide quantitative indicators of the visibility of the indexed publication record within the Scopus database represented by the supplied profile. [1]

The profile also reports 41 co-authors and two preprints, while the visible publication records demonstrate continuing research activity in materials and thermal-fluid topics. The supplied source does not provide a complete qualitative assessment of the societal, industrial or technological impact of the research, so such effects are not inferred here.

Award Suitability

For the purposes of the Indian Scientist Awards recognition profile, Dr. Swaroop Kumar Mandal is presented under the Best Researcher Award with the specified subject area of Energy material and nanocomposite. The documented affiliation, Scopus profile and publication record provide identifiable academic information associated with the researcher. [1]

The available source establishes bibliometric and publication information but does not itself state an award-selection decision, evaluation score or formal assessment methodology. Accordingly, this section records the academic information relevant to the recognition profile without assigning a comparative ranking or unsupported evaluative score.

Conclusion

Dr. Swaroop Kumar Mandal’s supplied academic profile documents an affiliation with the Dr. D. Y. Patil Institute of Technology, Pune, and a Scopus-indexed research record comprising 25 documents, 184 citations and an h-index of 10. The visible publications address thermo-physical properties, MWCNT-based nanofluids, heat transfer and entropy generation, providing a documented connection with the subject area of energy materials and nanocomposites. [1] The information in this article is based primarily on the supplied Scopus Preview extract and should be understood within the limitations of that source.

References

  1. Scopus Preview author profile: Mandal, Swaroop Kumar. Dr. D. Y. Patil Institute of Technology, Pune, India. Scopus Author ID 57212403623. Supplied profile extract reports 25 documents, 184 citations, h-index 10, 41 co-authors and selected 2026 publications in Materials Letters. Scopus Preview, supplied PDF, pp. 1–3.
    https://www.scopus.com/authid/detail.uri?authorId=57212403623
  2. Performance investigation of CuO-paraffin wax nanocomposite in solar water heater during night
    https://www.sciencedirect.com/science/article/pii/S0040603118305173
  3. Performance investigation of nanocomposite based solar water heater
    https://www.sciencedirect.com/science/article/pii/S0360544220304023
  4. Influence of reduced graphene oxide on the morphology, structural, and thermal properties of calcium carbonate nanocomposites
    https://www.sciencedirect.com/science/article/pii/S027288422304227X

 

Amit Rastogi | Astrobiology | Innovative Research Award

Published-on by Indian Scientist Awards

Innovative Research Award

Amit Rastogi
Biogeosciences R & D, India

Amit Rastogi
Affiliation Biogeosciences R & D
Country India
Scopus ID 57216346963
Documents 3
Citations 332
h-index 3
Subject Area Astrobiology
Event Indian Scientist Awards

Amit Rastogi is a researcher affiliated with Biogeosciences R & D in India, working within the subject area of Astrobiology. Available bibliometric information records three documents, 332 citations, and an h-index of 3. These indicators provide a quantitative view of the documented research record and are considered alongside the subject relevance and scholarly contribution of the researcher.

Abstract

This academic recognition profile presents the documented research record of Amit Rastogi, affiliated with Biogeosciences R & D, India, in the field of Astrobiology. The available bibliometric record identifies three documents and 332 citations, with an h-index of 3. These indicators are used to describe the visible scholarly impact associated with the available publication record. Bibliometric measures should be interpreted in relation to publication volume, field-specific citation practices, research chronology, and the scope of individual contributions rather than as standalone measures of research quality.[1]

Keywords

Astrobiology; Biogeosciences; planetary science; interdisciplinary research; bibliometrics; scholarly impact; research evaluation; scientific recognition.

Introduction

Astrobiology is an interdisciplinary field concerned with questions relating to the origin, evolution, distribution, and potential for life in the universe. It draws upon multiple scientific disciplines, including biology, geology, chemistry, planetary science, and environmental science. Research in biogeosciences can contribute to astrobiological inquiry by examining interactions between biological systems and geological or environmental processes that provide comparative frameworks for understanding life and habitability.

Within this interdisciplinary context, researcher evaluation benefits from considering both quantitative indicators and the substantive relevance of scholarly work. Citation counts and h-index values can provide useful measures of scholarly visibility, while publication characteristics and research context are necessary for a more complete assessment.[1]

Research Profile

Amit Rastogi is identified in the available research record as being affiliated with Biogeosciences R & D in India. His listed subject area is Astrobiology, placing the documented research profile within an interdisciplinary scientific domain concerned with biological, environmental, and planetary questions.

Research metric Available record
Affiliation Biogeosciences R & D
Country India
Documents 3
Citations 332
h-index 3
Subject Area Astrobiology

Research Contributions

The available information indicates a research profile associated with Astrobiology and Biogeosciences. Because the supplied record does not include individual publication titles, abstracts, author-order information, or detailed methodological descriptions, specific contributions are not attributed beyond the documented subject area. This approach avoids assigning findings or claims that are not directly supported by the available bibliographic information.

  • Research activity is documented within the interdisciplinary area of Astrobiology.
  • The affiliation with Biogeosciences R & D indicates an institutional context relevant to biogeoscientific research.
  • The available citation record indicates measurable scholarly attention to the documented publications.

Further assessment of substantive research contributions would require examination of the individual publications, research outputs, and associated scholarly records.

Publications

The supplied bibliometric information records 3 documents associated with the researcher profile. The individual publication titles and DOI identifiers were not supplied in the source data provided for this article. Accordingly, no specific publication title or DOI is attributed here without independent bibliographic verification.

For formal academic evaluation, publication-level verification should consider bibliographic metadata, authorship, journal or conference information, DOI records where available, and the relationship between each publication and the researcher’s documented field of activity.

Research Impact

The available record reports 332 citations across 3 documents, together with an h-index of 3. Citation indicators are commonly used as quantitative measures of scholarly attention, but their interpretation depends on factors such as field, publication age, document type, collaboration patterns, and citation practices.[1]

Indicator Value Interpretive role
Documents 3 Indicates the number of documents represented in the supplied record.
Citations 332 Quantitative indicator of citations associated with the documented record.
h-index 3 Indicates a publication-impact threshold within the available citation record.

Award Suitability

The Innovative Research Award profile is considered in relation to the researcher’s documented subject area, publication record, and available bibliometric indicators. Amit Rastogi’s supplied record identifies Astrobiology as the subject area, three documents, 332 citations, and an h-index of 3. These data provide a quantitative basis for considering the profile within a research-recognition framework.

Award suitability should not be inferred solely from citation metrics. A complete scholarly assessment may also consider the originality and significance of research, methodological quality, relevance to the discipline, publication quality, evidence of innovation, and the broader contribution of the research to scientific knowledge. Such criteria are consistent with the general principle that bibliometric indicators should complement rather than replace qualitative evaluation.[1]

  1. Documented relevance to the stated research subject area.
  2. A measurable publication and citation record.
  3. A research profile that can be further assessed through publication-level evidence.
  4. Potential alignment with recognition focused on innovative scientific research, subject to formal evaluation criteria.

Conclusion

Amit Rastogi’s available academic profile identifies Biogeosciences R & D in India as the affiliation and Astrobiology as the principal subject area. The supplied bibliometric record comprises three documents, 332 citations, and an h-index of 3. These indicators demonstrate a documented level of scholarly visibility, while a complete assessment of innovative research requires consideration of the underlying publications and their scientific contributions. On the information available, the profile provides a reasonable basis for consideration under an Innovative Research Award framework, subject to the applicable verification and evaluation procedures.

References

  1. Scopus author profile associated with Amit Rastogi, author identifier 57216346963. The supplied profile identifier is used as the bibliometric reference point for the documents, citations, and h-index stated in this article.
    https://www.scopus.com/authid/detail.uri?authorId=57216346963

  2. Nanocelluloses as new generation materials: natural resources, structure-related properties, engineering nanostructures, and technical challenges
    https://www.sciencedirect.com/science/article/pii/S2468519422004761

  3. Biological synthesis of nanoparticles: An environmentally benign approach
    https://www.scopus.com/pages/publications/85077239777
  4. Plant celluloses, hemicelluloses, lignins, and volatile oils for the synthesis of nanoparticles and nanostructured
    https://www.scopus.com/pages/publications/85096883233

Avijit Mazumde| MICROBIOLOGY | Best Researcher Award

Published-on by Indian Scientist Awards

Best Researcher Award

Avijit Mazumde
Avijit Mazumde
Affiliation NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE)
Country India
Scopus ID 8257888200
Documents 15
Citations 8
h-index 2
Subject Area MICROBIOLOGY
Event Indian Scientist Awards
ORCID 0000-0002-3053-8106

Avijit Mazumde is a researcher affiliated with the NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE), India, with a stated subject area of R&D Analyst. The research profile associated with the supplied bibliometric information records 15 documents, 8 citations, and an h-index of 2. These indicators provide a quantitative snapshot of indexed research output and citation activity and should be interpreted in the context of publication history, disciplinary norms, authorship, collaboration, and research contribution.

Abstract

This academic recognition profile presents the research record of Avijit Mazumde, affiliated with the NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE), India. The supplied scholarly profile reports 15 documents, 8 citations, and an h-index of 2. The profile is situated within the field designation of R&D Analyst and is associated with the Indian Scientist Awards. Bibliometric indicators such as document counts, citation counts, and the h-index can provide useful measures of scholarly visibility, although they represent only selected dimensions of research activity and should not be considered independently of disciplinary and qualitative context. The h-index, for example, was introduced as an indicator combining publication productivity and citation impact. [1]

Keywords

Avijit Mazumde; R&D Analyst; research and development; scholarly communication; bibliometrics; research publications; citation impact; h-index; NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE); Indian Scientist Awards.

Introduction

Research recognition commonly considers a combination of scholarly productivity, citation activity, research relevance, professional contribution, and institutional affiliation. Bibliographic databases can support the quantitative assessment of research records by providing structured information about indexed documents and citations. However, quantitative indicators are most meaningful when considered alongside the subject area, career stage, publication characteristics, and the nature of individual contributions.

In the supplied profile, Avijit Mazumde is identified with the NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE) in India and is described under the subject area of R&D Analyst. The available profile information records 15 documents, 8 citations, and an h-index of 2. These values form the principal quantitative indicators used to describe the research profile presented on this page.

Research Profile

The research profile identifies Avijit Mazumde as an R&D Analyst associated with the NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE). The supplied bibliometric record contains 15 documents and 8 citations, with an h-index of 2. The corresponding Scopus author identifier is 8257888200, while the supplied ORCID identifier is 0000-0002-3053-8106. These identifiers can assist with distinguishing a researcher’s scholarly record across indexing and researcher-profile systems.[3]

Profile indicator Supplied information
Researcher Avijit Mazumde
Institution NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE)
Country India
Documents 15
Citations 8
h-index 2
Subject Area R&D Analyst

Research Contributions

The available information does not provide a detailed publication-by-publication description of Avijit Mazumde’s research projects, methodologies, datasets, patents, or individual authorship contributions. Accordingly, specific scientific contributions are not inferred beyond the supplied research-profile information. The reported publication record of 15 documents indicates documented scholarly output within the indexed profile, while the citation count and h-index provide additional quantitative indicators of the visibility of that output.[2]

From an academic evaluation perspective, a complete assessment of research contribution would ordinarily consider the relevance and originality of individual publications, the researcher’s role in collaborative work, methodological contribution, practical or translational relevance, and the subsequent use or citation of the research. Such qualitative dimensions complement bibliometric indicators and help avoid interpreting publication and citation counts in isolation.

Publications

The supplied profile reports a total of 15 documents in the associated Scopus record. Individual publication titles, journals, publication years, author positions, citation distributions, and DOI identifiers were not supplied as part of the input data. Therefore, no specific publication titles or DOI records are attributed to the researcher on this page without independent bibliographic verification.

For publication-level verification, the researcher’s supplied Scopus author profile and ORCID record provide appropriate starting points for reviewing indexed works and persistent researcher identification.

Research Impact

The supplied research-impact indicators comprise 15 documents, 8 citations, and an h-index of 2. The h-index is designed to combine elements of publication productivity and citation impact into a single indicator, although its interpretation varies across fields and career stages. [1] Consequently, the reported value should be regarded as one component of a broader research assessment rather than a standalone measure of scientific quality.

The citation record of 8 citations indicates that the indexed publications have received measurable scholarly attention within the supplied record. A more comprehensive impact analysis could additionally examine citation trajectories, highly cited publications, field-normalized indicators, collaboration networks, research outputs beyond journal articles, and evidence of practical or societal application.

Award Suitability

The profile is presented for consideration under the Best Researcher Award associated with the Indian Scientist Awards. Based on the supplied information, the researcher has an identifiable institutional affiliation, a Scopus author identifier, an ORCID identifier, 15 reported documents, 8 citations, and an h-index of 2. These characteristics establish a documented scholarly profile that can be considered as part of an academic recognition assessment.[1]

Award suitability should nevertheless be determined through the applicable evaluation framework and, where required, verification of the underlying publications and researcher identifiers. Bibliometric indicators should be complemented by qualitative evidence concerning research originality, contribution, relevance, and scholarly significance. The information presented here therefore describes the available profile rather than making an unsupported claim of comparative superiority over other researchers.[2]

Conclusion

Avijit Mazumde is identified in the supplied information as an R&D Analyst affiliated with the NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE), India. The associated profile records 15 documents, 8 citations, and an h-index of 2, together with Scopus and ORCID identifiers. These data provide a concise quantitative representation of the research profile and form part of the information relevant to consideration for the Best Researcher Award. A complete scholarly evaluation should incorporate verified publication-level evidence and qualitative assessment in addition to bibliometric indicators.[4]

References

  1. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
    https://doi.org/10.1073/pnas.0507655102
    [DOI]
  2. Scopus. Author profile information associated with Scopus Author ID 8257888200.
    http://scopus.com/authid/detail.uri?authorId=8257888200
  3. ORCID. Researcher identifier record associated with ORCID 0000-0002-3053-8106.
    https://orcid.org/0000-0002-3053-8106.
  4. Benzimidazoles: A biologically active compounds
    https://www.sciencedirect.com/science/article/pii/S1878535212001761

Kishlay Kant Singh | R&D Analyst | Young Scientist Category

Published-on by Indian Scientist Awards

Young Scientist Category

Kishlay Kant Singh
Shobhit University, Meerut, India
Kishlay Kant Singh
Affiliation Shobhit University, Meerut
Country India
Documents 15
Citations 8
h-index 2
Subject Area R&D Analyst
Event Indian Scientist Awards
ORCID 0009-0002-2755-6909

Kishlay Kant Singh is a researcher affiliated with Shobhit University, Meerut, India, whose academic profile is associated with the subject area of research and development analysis. Available scholarly-profile information records 15 documents, 8 citations, and an h-index of 2. These indicators provide a quantitative view of the research output and citation visibility represented in the available academic profile. The researcher is presented in the Young Scientist Category.

Abstract

Kishlay Kant Singh is affiliated with Shobhit University, Meerut, and is identified academically with the field of research and development analysis. The available scholarly profile indicates a research record comprising 15 documents, 8 citations, and an h-index of 2. These indicators represent measurable aspects of publication activity and citation-based research visibility. Citation counts and h-index values are commonly used as complementary bibliometric indicators, although they should be interpreted in relation to disciplinary practices, career stage, publication chronology, and the coverage of the underlying scholarly database. [1][2]

The Young Scientist Category recognizes an emerging research profile on the basis of available academic information and research activity. The present article summarizes the publicly identified institutional affiliation, scholarly indicators, research orientation, and suitability of the profile for academic recognition without making claims beyond the available evidence.

Keywords

Kishlay Kant Singh; Young Scientist; R&D Analyst; Research and Development; Shobhit University; Meerut; India; scholarly publications; citation analysis; h-index; Indian Scientist Awards.

Introduction

Early-career and emerging researchers contribute to the development of academic knowledge through publication, analysis, experimentation, innovation, collaboration, and application of research findings. Evaluation of an emerging researcher generally benefits from considering multiple forms of evidence rather than relying on a single numerical indicator. Bibliometric measures such as publication count, citation count, and h-index can provide a structured indication of scholarly activity and influence, but they are most appropriately interpreted alongside qualitative information concerning research subject, contribution, and academic context.[1][2]

Kishlay Kant Singh is associated with Shobhit University, Meerut, India, and is identified in the available profile information with R&D Analyst as the subject area. The profile includes an ORCID identifier, enabling persistent identification of the researcher within the ORCID scholarly-identity infrastructure. [3]

Research Profile

The available research profile identifies Kishlay Kant Singh with Shobhit University, Meerut. The documented scholarly indicators include 15 research documents, 8 citations, and an h-index of 2. The profile is not presented with a verified Scopus identifier in the supplied information; therefore, no Scopus ID is assigned in this article. The available Google Scholar profile is used as the principal public scholarly-profile reference. [4]

Profile Indicator Available Information
Researcher Kishlay Kant Singh
Institution Shobhit University, Meerut
Country India
Subject Area R&D Analyst
Documents 15
Citations 8
h-index 2
Scopus ID Not available in the supplied profile information
ORCID 0009-0002-2755-6909

Research Contributions

The supplied academic information identifies R&D analysis as the principal subject area associated with Kishlay Kant Singh. Within a research and development context, analytical work can involve literature assessment, research planning, evaluation of technical information, interpretation of evidence, documentation of findings, and support for innovation-oriented activities. The available information does not provide sufficient detail to attribute specific discoveries, technologies, patents, or individual research findings to the researcher; accordingly, this article does not make such claims.

  • Research and development analysis as an identified academic subject area.
  • A documented publication record represented by 15 research documents.
  • Citation visibility represented by 8 citations in the available profile information.
  • An h-index of 2 as an additional bibliometric indicator of cited scholarly output.
  • Scholarly identity representation through an ORCID identifier. [3]

Publications

The available profile information records a total of 15 documents associated with Kishlay Kant Singh. The supplied data does not include a verified publication-by-publication bibliography, complete article titles, journal information, publication dates, or individual DOI identifiers. Consequently, specific publications are not reproduced here to avoid attributing bibliographic details that have not been independently supplied or verified. The Google Scholar profile provides the appropriate public route for reviewing the researcher’s indexed scholarly output. [4]

In bibliometric assessment, publication counts should be interpreted with consideration for document type, disciplinary norms, indexing coverage, and the time available for research activity. Citation-based indicators likewise depend on database coverage and citation practices and should therefore be considered descriptive rather than definitive measures of research quality. .[1][2]

Research Impact

The available quantitative indicators show 15 documents, 8 citations, and an h-index of 2. These figures indicate an established, although developing, scholarly publication and citation record. The h-index combines productivity and citation information and is therefore useful as one component of research assessment, but it does not by itself measure the originality, societal value, methodological quality, or practical significance of individual research contributions. .[1][2]

Metric Value Interpretation
Documents 15 Indicates the recorded volume of scholarly documents.
Citations 8 Indicates recorded citation activity within the available profile.
h-index 2 Reflects a combined measure of publication and citation performance.

Award Suitability

The Young Scientist Category is appropriate for considering emerging researchers whose academic records demonstrate developing research activity and scholarly engagement. Based on the supplied information, Kishlay Kant Singh has an identifiable institutional affiliation, a documented record of 15 research documents, 8 citations, and an h-index of 2. These indicators provide a quantitative basis for considering the profile within an emerging-researcher recognition category.

The suitability assessment should be understood as an academic recognition assessment based on the available profile information rather than as a claim of superiority over other researchers. A complete evaluation may additionally consider the originality and quality of individual publications, research responsibilities, collaboration, innovation, relevance to the field, and other evidence supplied during the award evaluation process.

The recognition is associated with the Indian Scientist Awards, an academic recognition platform through which researcher profiles may be considered across different scientific and scholarly categories.

Conclusion

Kishlay Kant Singh is an emerging researcher affiliated with Shobhit University, Meerut, India, with R&D Analyst identified as the relevant subject area in the supplied information. The available scholarly indicators comprise 15 documents, 8 citations, and an h-index of 2. The profile also includes an ORCID identifier, providing a persistent scholarly identity reference. [3][4]

On the basis of the available academic record, the profile can reasonably be considered within a Young Scientist recognition framework. As with all bibliometric assessments, the numerical indicators should be interpreted alongside qualitative evidence and the research context rather than being treated as standalone measures of academic quality or impact.

References

    1. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
      https://doi.org/10.1073/pnas.0507655102
    2. Bornmann, L., & Daniel, H.-D. (2007). What do we know about the h index? Journal of the American Society for Information Science and Technology, 58(9), 1381–1385.
      https://doi.org/10.1002/asi.20609
    3. ORCID. Persistent identifier and scholarly identity record for Kishlay Kant Singh.
      https://orcid.org/0009-0002-2755-6909
    4. Google Scholar. Scholarly profile associated with the supplied researcher identifier.
      https://scholar.google.com/citations?hl=en&user=5b_DWP4AAAAJ

Arvind Mungole | Phytochemistry | Research Excellence Award

Published-on by Indian Scientist Awards

Research Excellence Award

Arvind Mungole
Affiliation N. H. College, Bramhapuri
Country India
Scopus ID 36523671000
Documents 330
Citations 26
h-index 7
Subject Area Phytochemistry
Event Indian Scientist Awards
ORCID 0000-0003-2241-7790

Arvind Mungole
N. H. College, Bramhapuri, India

Arvind Mungole is a researcher affiliated with N. H. College, Bramhapuri, India, whose academic profile is associated with the subject area of Phytochemistry. His research record includes publications indexed in major scholarly databases, with the supplied profile indicating 330 documents, 26 citations, and an h-index of 7. This article presents a neutral academic profile and recognition.[1]

Abstract

Arvind Mungole is presented in the supplied academic record as a researcher associated with N. H. College, Bramhapuri, India, and the field of phytochemistry. The profile identifies a Scopus author record containing 330 documents, 26 citations, and an h-index of 7. Bibliometric indicators such as publication count, citations, and h-index are commonly used as quantitative measures of scholarly activity and research influence, although they should be interpreted in relation to disciplinary norms, career duration, authorship practices, and the nature of individual contributions.[1][2] Phytochemistry encompasses the study of chemical constituents of plants and their biological, structural, analytical, and functional characteristics. [3]

Keywords

Arvind Mungole; Phytochemistry; plant chemistry; natural products; scientific research; bibliometrics; research impact; scholarly publications; Indian Scientist Awards; Research Excellence Award.

Introduction

Phytochemistry is an interdisciplinary area of research concerned with the identification, isolation, characterization, analysis, and biological evaluation of chemical constituents produced by plants. Research in this field intersects with organic chemistry, analytical chemistry, pharmacognosy, pharmacology, botany, biotechnology, and related natural-product sciences.[3][4] Modern phytochemical investigation frequently combines classical extraction and characterization approaches with chromatographic, spectroscopic, and other analytical methods to establish the chemical composition and potential biological relevance of plant-derived compounds.[4]

Within this broader research environment, Arvind Mungole’s supplied profile is associated with phytochemistry and a substantial indexed publication record. The available bibliometric figures provide a quantitative basis for describing his scholarly activity, while publication subject matter, research collaborations, methodological contributions, and citation context are important complementary considerations when evaluating academic impact.[1][2]

Research Profile

The supplied profile identifies Arvind Mungole with N. H. College, Bramhapuri, in Maharashtra, India, and lists phytochemistry as the principal subject area. His research identity is additionally represented by a Scopus author identifier and an ORCID record, which are persistent identifiers intended to distinguish researchers and improve the association of scholarly outputs with the correct author.[5]

Profile element Supplied information
Researcher Arvind Mungole
Institution N. H. College, Bramhapuri
Country India
Subject area Phytochemistry
Documents 330
Citations 26
h-index 7

The publication and citation indicators should be treated as profile-level bibliometric information rather than as a standalone measure of research quality. Bibliometric indicators can provide useful evidence of scholarly activity and influence, but responsible assessment generally requires consideration of the research context and qualitative evidence alongside numerical indicators.[1][2]

Research Contributions

Based on the supplied subject classification, Mungole’s academic profile is situated within phytochemistry, a field concerned with plant-derived chemical constituents and their properties. Research within this domain can involve the systematic examination of secondary metabolites, extraction procedures, compound characterization, biological activity, and the relationship between chemical constituents and potential applications.[3][4]

A researcher working in phytochemistry may contribute through several interconnected activities, including:

  • investigation and characterization of naturally occurring plant constituents;
  • application of analytical and spectroscopic approaches to natural-product research;
  • evaluation of phytochemical profiles and their potential biological significance;
  • publication and dissemination of findings through scholarly research outputs; and
  • participation in the broader development of plant-based chemical and natural-product research.

The specific contribution of individual publications should be assessed from their original research questions, methodology, findings, authorship roles, and subsequent scholarly use. The information supplied for this article does not provide sufficient publication-level detail to assign specific discoveries exclusively to the researcher; therefore, the profile is presented without attributing unverified individual discoveries.

Publications

The supplied Scopus profile reports 330 documents associated with the researcher. This figure indicates a substantial indexed publication record within the specified author profile. Publication counts, however, may include different document types and should be interpreted alongside the nature and quality of individual scholarly outputs.[1]

For detailed bibliographic verification, readers should consult the researcher’s indexed author profile and persistent researcher identifier. These sources can assist in distinguishing publications attributed to the researcher from similarly named authors and in reviewing the chronological and subject distribution of the documented research record. [5]

Research Impact

The supplied bibliometric profile records 26 citations and an h-index of 7. The h-index is a commonly used bibliometric indicator that combines publication productivity with citation frequency: an h-index of 7 indicates that seven publications in the indexed set have received at least seven citations each, subject to the database’s underlying records and counting methodology.[2]

Citation counts can vary among scholarly databases because of differences in coverage, indexing practices, document types, author disambiguation, and update schedules. Consequently, the figures reported here should be understood as database-specific indicators rather than universal measurements of research influence.[1][2] A comprehensive assessment of impact would additionally examine citation quality, independent use of findings, collaboration, research continuity, and contributions to the development of the field.

Award Suitability

The Research Excellence Award is presented in this article as the recognition category associated with Arvind Mungole under the Indian Scientist Awards. The supplied academic information provides several measurable elements relevant to an academic recognition assessment, including an identified institutional affiliation, a defined research subject area, an indexed author profile, 330 reported documents, 26 citations, and an h-index of 7.

In a research-recognition context, bibliometric evidence can serve as one component of an evaluation framework. Responsible assessment should also consider the relevance and originality of research, methodological rigor, publication quality, scholarly collaboration, research continuity, and the significance of contributions to the relevant discipline.[1][2] On the information supplied for this profile, the researcher demonstrates a documented scholarly publication record in the field of phytochemistry and possesses identifiable research-indexing records that can support academic profile verification.

The award suitability statement is therefore based on the supplied profile information and should not be interpreted as an independent certification of every publication, citation, or research claim. Verification of individual scholarly outputs remains appropriately dependent on the relevant indexing services and primary publications.

Conclusion

Arvind Mungole is identified in the supplied academic record as a researcher affiliated with N. H. College, Bramhapuri, India, with phytochemistry as the stated subject area. The profile reports 330 documents, 26 citations, and an h-index of 7, providing quantitative evidence of an indexed scholarly publication record. These indicators offer useful context for academic recognition but are most appropriately interpreted alongside qualitative evidence concerning research content, originality, rigor, and influence.[1][2] In this context, the Research Excellence Award represents an academic recognition associated with the Indian Scientist Awards.

References

  1. A review of recent synthetic strategies and biological activities of isoxazole.
    https://onlinelibrary.wiley.com/doi/abs/10.1002/jhet.4586
  2. Hibiscus sabdariffa L. a rich source of secondary metabolites.
    https://www.researchgate.net/profile/Arvind-Mungole/publication/286839789
  3. Preliminary phytochemical screening of Ipomoea obscura (L) – a hepatoprotective medicinal plant.
    https://www.cabidigitallibrary.org/doi/full/10.5555/20103339658
  4. Elsevier. Scopus Author Profiles and Author Identifiers. Scopus bibliographic and author-indexing resources.
    https://www.scopus.com/authid/detail.uri?authorId=36523671000 
  5. ORCID. ORCIDhttps://doi.org/10.1073/pnas.0507655102: Connecting Research and Researchers. ORCID persistent researcher-identification service.
    https://orcid.org/0000-0003-2241-7790

RAMESH KOLA | Physical Organic Chemistry | Best Academic Researcher Award

Published-on by Indian Scientist Awards

Best Academic Researcher Award

RAMESH KOLA
Chaitanya Bharathi Institute of Technology
RAMESH KOLA
Affiliation Chaitanya Bharathi Institute of Technology
Country India
Scopus ID 55166917100
Documents 261
Citations 42
h-index 9
Subject Area Physical Organic Chemistry
Event Indian Scientist Awards
ORCID 0000-0002-6495-6939

RAMESH KOLA is a researcher affiliated with Chaitanya Bharathi Institute of Technology (A), India, whose stated research subject area is Physical Organic Chemistry. The researcher is represented in bibliographic and researcher-identification systems through a Scopus author profile and an ORCID record. The available profile information lists 261 documents, 42 citations, and an h-index of 9. These indicators provide a bibliometric context for evaluating research activity and scholarly visibility. [1] [2]

Abstract

This academic recognition profile presents bibliographic and researcher-identification information associated with RAMESH KOLA of Chaitanya Bharathi Institute of Technology (A), India. The stated area of research is Physical Organic Chemistry. The profile records 261 documents, 42 citations, and an h-index of 9 according to the supplied Scopus profile information. [1] The researcher is additionally identified through ORCID, providing a persistent identifier for scholarly work and attribution. [2]

Keywords

Physical Organic Chemistry; Academic Research; Chemical Research; Bibliometrics; Scholarly Publications; Research Impact; Researcher Identification; Scopus; ORCID; Indian Scientist Awards.

Introduction

Academic recognition commonly considers a combination of research activity, scholarly output, citation performance, disciplinary relevance, and verifiable researcher identifiers. In this context, RAMESH KOLA is associated with Chaitanya Bharathi Institute of Technology (A) and the subject area of Physical Organic Chemistry. The supplied bibliometric profile identifies the researcher through Scopus author identifier 55166917100 and reports 261 documents, 42 citations, and an h-index of 9. [1]

Researcher identifiers such as ORCID are designed to distinguish scholars with similar names and facilitate consistent attribution of research outputs across systems. The ORCID identifier associated with this profile is 0000-0002-6495-6939. [2] The present article therefore summarizes the supplied academic profile without making claims beyond the information available in the referenced researcher records.

Research Profile

RAMESH KOLA’s supplied academic profile is associated with Physical Organic Chemistry, a field concerned with understanding the relationship between molecular structure, chemical reactivity, reaction mechanisms, and the physical principles underlying organic transformations. The institutional affiliation identified for the researcher is Chaitanya Bharathi Institute of Technology (A), India.

Profile Attribute Information
Researcher RAMESH KOLA
Institution Chaitanya Bharathi Institute of Technology (A)
Country India
Subject Area Physical Organic Chemistry
Scopus Documents 261
Scopus Citations 42
h-index 9

The quantitative indicators above should be interpreted as profile-level bibliometric information rather than as a complete assessment of research quality. Citation counts and h-index values can vary between databases and may change over time as publications receive additional citations or as database records are corrected and updated. [1]

Research Contributions

The supplied profile places the researcher’s work within Physical Organic Chemistry. On the basis of the stated subject area, the academic contribution profile can be considered in relation to research involving organic molecular structure, reactivity, mechanisms, and physicochemical interpretation of chemical processes. However, specific claims concerning individual discoveries, methods, compounds, or research findings are not made here because publication-level details were not supplied as part of the profile data.

  • Research activity associated with the stated discipline of Physical Organic Chemistry.
  • A documented scholarly publication record represented by 261 listed documents in the supplied Scopus profile.
  • A recorded citation profile comprising 42 citations in the supplied bibliographic information.
  • A reported h-index of 9, providing one quantitative indicator of publication and citation performance.
  • Persistent researcher identification through ORCID, supporting consistent scholarly attribution. [2]

Publications

The supplied Scopus profile reports 261 documents associated with the researcher. [1] Because individual publication titles, journal information, publication years, article identifiers, and verified DOI records were not provided in the input data, this section does not attribute specific publications or DOI numbers to the researcher. This approach avoids introducing unverified bibliographic information into the academic record.

For publication-level verification, the Scopus author profile and ORCID record can be consulted through the external links provided below. These sources can assist in confirming publication attribution and researcher identity across bibliographic systems. [1] [2]

Research Impact

The supplied bibliometric indicators provide a quantitative perspective on the researcher’s scholarly activity. The reported 261 documents indicate a substantial indexed publication record, while 42 citations and an h-index of 9 provide additional indicators of citation visibility within the database represented by the supplied profile. [1]

Bibliometric measures should be interpreted with appropriate disciplinary and temporal context. Citation practices differ among research fields, and citation totals can change as databases index new documents and citations. Accordingly, the reported indicators are best understood as supporting evidence of scholarly activity rather than as standalone measures of research quality or significance.

Award Suitability

The profile is presented in connection with the Best Academic Researcher Award under the Indian Scientist Awards. The supplied academic information identifies a researcher with an established institutional affiliation, a stated disciplinary specialization in Physical Organic Chemistry, an indexed document record, citation activity, and a reported h-index. These elements constitute relevant academic-profile information for consideration within a research recognition framework.

Award suitability should nevertheless be considered through a balanced evaluation of the available evidence, including research outputs, scholarly relevance, citation indicators, disciplinary contribution, and verifiable researcher records. The bibliometric figures presented in this article should therefore be treated as supporting indicators and not as the sole basis for determining academic merit.

The award event associated with this recognition is Indian Scientist Awards, with the official event website available through the external links section. [3]

Conclusion

RAMESH KOLA is presented as an academic researcher affiliated with Chaitanya Bharathi Institute of Technology (A), India, with Physical Organic Chemistry identified as the principal subject area in the supplied profile. The associated Scopus information reports 261 documents, 42 citations, and an h-index of 9, while the ORCID record provides a persistent researcher identifier. [1] [2]

In the context of the Best Academic Researcher Award, these details provide a structured basis for documenting research activity and bibliometric visibility. Any broader assessment of academic contribution should incorporate verified publication-level evidence and disciplinary context alongside quantitative indicators.

References

  1. Scopus. Scopus Author Profile: RAMESH KOLA, Author ID 55166917100.
    https://www.scopus.com/authid/detail.uri?authorId=55166917100
  2. ORCID. ORCID record associated with RAMESH KOLA, ORCID ID 0000-0002-6495-6939.
    https://orcid.org/0000-0002-6495-6939
  3. An efficient and green strategy for the synthesis of graphene with aqueous polyphenol extracts of orchid flower (Dendrobium Anosmum) for charge storage
    https://www.sciencedirect.com/science/article/abs/pii/S0167577X24012709
  4. Google Scholar. Researcher profile supplied for academic profile cross-reference.
    https://scholar.google.com/citations?user=FMdARysAAAAJ&hl=en&oi=sra

Shaurya Prakash | Mycology | Innovative Research Award

Published-on by Indian Scientist Awards

Innovative Research Award

ShauryaPrakash
Central University of Haryana
ShauryaPrakash
Affiliation Central University of Haryana
Country India
Scopus ID 57955041600
Documents 26
Citations 92
h-index 6
Subject Area Mycology
Event Indian Scientist Awards
ORCID 0000-0003-4757-5373

ShauryaPrakash, affiliated with the Central University of Haryana, is a researcher whose stated subject area is Mycology, the scientific discipline concerned with fungi and their biology, diversity, ecology, and applications. The research profile supplied for this recognition page records 26 documents, 92 citations, and an h-index of 6 in the referenced Scopus author profile. These bibliometric indicators provide a quantitative description of the research record and are presented here as part of the academic recognition profile rather than as an independent assessment of research quality.[1]

Abstract

This academic recognition profile presents the research record of ShauryaPrakash of the Central University of Haryana in the field of Mycology. The available profile data identifies 26 documents, 92 citations, and an h-index of 6 through the supplied Scopus author identifier. The profile is considered in the context of scholarly research activity, publication output, citation visibility, and subject-area relevance. Mycology encompasses the study of fungi across biological, ecological, environmental, agricultural, medical, and biotechnological contexts, making systematic research in this field relevant to multiple areas of contemporary science. [1][2]

The Women Researcher Award recognizes the submitted research profile for its alignment with an identified scientific discipline and documented bibliometric record. Bibliometric indicators such as publication count, citation count, and h-index are useful descriptive measures, although they should be interpreted alongside research quality, originality, disciplinary context, and the significance of individual contributions.[3]

Keywords

Mycology; fungal biology; fungal diversity; scientific research; research publications; bibliometrics; citation analysis; h-index; women researchers; Central University of Haryana; Indian Scientist Awards.

Introduction

Mycology is a specialized branch of biology focused on fungi, including their taxonomy, physiology, genetics, ecology, interactions with other organisms, and practical applications. Fungi occupy important ecological roles as decomposers and symbiotic organisms and are also relevant to agriculture, food systems, medicine, environmental science, and biotechnology. Modern mycological research therefore intersects with several biological and applied scientific disciplines. [1][2]

Academic evaluation of researchers commonly combines qualitative assessment with quantitative indicators. Publication output can provide evidence of sustained scholarly activity, while citation counts and h-index values can provide information about the visibility and subsequent use of published work. However, such indicators vary substantially between disciplines and career stages and are most appropriately interpreted as complementary evidence rather than as complete measures of research quality. [3][4]

Research Profile

The supplied academic profile identifies ShauryaPrakash with the Central University of Haryana in India and places the research activity within Mycology. The following indicators are reproduced from the supplied profile information and associated author identifiers.

Indicator Profile information
Researcher ShauryaPrakash
Institution Central University of Haryana
Country India
Subject Area Mycology
Documents 26
Citations 92
h-index 6
Scopus Author ID 57955041600
ORCID 0000-0003-4757-5373

Research Contributions

The supplied profile places ShauryaPrakash’s research within Mycology. Because detailed publication titles, study descriptions, laboratory findings, and individual contribution statements were not included in the source profile data, specific scientific findings are not attributed here without supporting bibliographic evidence. This approach avoids extending the available record beyond the information that can be documented.

Within the stated subject area, the research profile can be described in relation to the broader scholarly dimensions of mycological investigation, including:

  • Study of fungi and fungal diversity within biological and environmental contexts.
  • Contribution to the scholarly literature through documented research publications.
  • Development and communication of research findings through peer-reviewed academic channels.
  • Participation in the wider scientific knowledge base associated with fungal research and related biological disciplines.

These points describe the scope of the stated research field rather than assigning specific findings to the researcher. Individual contributions should be evaluated from the underlying publications, authorship information, research methods, and documented scholarly outputs.

Publications

The supplied profile reports 26 documents associated with the referenced Scopus author record. The document count is used here as a bibliometric indicator of indexed scholarly output. Individual publication titles, journals, publication years, citation distributions, and DOI identifiers were not supplied as part of the researcher data; consequently, no specific publication is listed without independent bibliographic verification.

For a complete publication-level assessment, the indexed author record and persistent researcher identifiers should be consulted alongside the original publications. Such verification can distinguish authored research articles from other document types and can also establish the precise contribution of the researcher to collaborative studies.

Research Impact

The supplied bibliometric profile records 92 citations and an h-index of 6. The h-index is a commonly used bibliometric measure that attempts to combine publication productivity with citation impact; it should nevertheless be interpreted in relation to field, publication age, collaboration patterns, and the researcher’s career stage. [3][4]

Citation activity can indicate that published work has been referenced by subsequent scholarship, but citation counts alone do not establish the quality, originality, societal value, or methodological strength of individual studies. Responsible assessment therefore benefits from considering quantitative indicators together with qualitative examination of research outputs and contributions. [3]

Metric Reported value Interpretation
Documents 26 Indicates the reported volume of documents associated with the supplied indexed author profile.
Citations 92 Indicates the reported number of citations associated with the supplied profile.
h-index 6 Provides a combined indication of publication productivity and citation distribution.

Award Suitability

Based on the supplied profile information, ShauryaPrakash’s documented affiliation, stated specialization in Mycology, and reported research indicators provide a recognizable academic basis for consideration under the Women Researcher Award associated with the Indian Scientist Awards. The available record demonstrates an indexed publication profile comprising 26 documents together with 92 citations and an h-index of 6.

A balanced academic recognition assessment may consider the following dimensions:

  • Relevance of the research activity to the stated subject area of Mycology.
  • Documented scholarly publication activity.
  • Citation visibility and the reported h-index.
  • Institutional affiliation and researcher identification through persistent academic profiles.
  • The substance, originality, methodological quality, and contribution of individual research outputs where supporting evidence is available.

The award suitability statement is based on the supplied profile information and should not be interpreted as a claim that bibliometric indicators alone establish scientific excellence. Individual research quality remains appropriately subject to scholarly review and verification.

Conclusion

ShauryaPrakash of the Central University of Haryana is profiled in the field of Mycology with a reported record of 26 documents, 92 citations, and an h-index of 6 under the supplied Scopus author identifier. These indicators provide a concise quantitative representation of the research profile and can be considered alongside publication-level and qualitative evidence when evaluating scholarly contributions.

In the context of the Indian Scientist Awards, the available academic information supports consideration of the researcher for the Women Researcher Award. The recognition profile remains intentionally evidence-based and does not attribute specific research findings or publication achievements beyond the information supplied and the general scholarly context of Mycology.

References

  1. Shaurya Prakash , Author profile verified in Scopus, Id:
    https://www.scopus.com/authid/detail.uri?authorId=57955041600
  2. Development of starch/whey protein isolate biofilm incorporated with silver oxide nanoparticles: A multifunctional antioxidant, antibacterial, photocatalytic, and anticancer agent
    https://www.sciencedirect.com/science/article/abs/pii/S1387700324016514
  3. Regulation and induction of fungal secondary metabolites: a comprehensive review
    https://link.springer.com/article/10.1007/s00203-025-04386-0
  4. Atom-economical synthesis, antimicrobial assessment, and molecular dynamics of indole-derived peptidomimetics for improved therapeutic insights.
    https://www.cambridge.org/core/books/introduction-to-fungi/B3BC3E8F4017DBE4C804BDE80DE77B23

Balamurugan M | Artificial Intelligence | Research Excellence Award

Published-on by Indian Scientist Awards

Research Excellence Award

Balamurugan M
Acharya Institute of Graduate Studies
Balamurugan M
Affiliation Acharya Institute of Graduate Studies
Country India
Scopus ID 57216032867
Documents 15
Citations 31
h-index 4
Subject Area Artificial Intelligence
Event Indian Scientist Awards
ORCID 0000-0001-5966-0669

Balamurugan M is an academic researcher affiliated with Acharya Institute of Graduate Studies, India, whose scholarly profile is associated with the field of Artificial Intelligence. The research record reflects participation in academic publication and knowledge development through documented scholarly outputs indexed in international research databases. With 15 documents, 31 citations, and an h-index of 4, the available bibliometric indicators provide a structured overview of the visibility and citation engagement of the research work.[1]

The Research Excellence Award recognition is considered in the context of sustained scholarly activity, research contribution, academic engagement, and the relevance of a researcher’s work to contemporary scientific and technological challenges. Within Artificial Intelligence, contributions are commonly evaluated through research quality, methodological relevance, publication activity, interdisciplinary applicability, and potential societal or industrial significance.[2]

Abstract

This article presents an academic recognition profile of Balamurugan M, affiliated with Acharya Institute of Graduate Studies, India, with research interests associated with Artificial Intelligence. The profile summarizes available scholarly indicators, including publication output, citation activity, and h-index, while placing the researcher’s work within the broader context of contemporary developments in intelligent systems and computational research. Artificial Intelligence has become a multidisciplinary area encompassing machine learning, data-driven systems, intelligent automation, computational decision-making, and related applications across scientific, industrial, and societal domains.[2] The Research Excellence Award recognizes scholarly engagement and research contribution based on relevant academic evidence and professional evaluation criteria.

Keywords

Artificial Intelligence; Machine Learning; Intelligent Systems; Computational Research; Research Excellence; Academic Publications; Citation Impact; Scientific Innovation; Data-Driven Technologies; Indian Scientist Awards.

Introduction

Artificial Intelligence is a major area of contemporary scientific and technological research concerned with the development of computational systems capable of performing tasks associated with learning, reasoning, prediction, recognition, optimization, and decision support. The field has expanded significantly through advances in machine learning, neural computation, data analytics, and large-scale computational infrastructure. These developments have also increased the importance of rigorous research practices, reproducibility, interdisciplinary collaboration, and responsible evaluation of intelligent technologies.[2]

Academic researchers working in Artificial Intelligence contribute to the development of theoretical frameworks, algorithms, computational models, and applied systems. Research output is commonly communicated through peer-reviewed publications, conference proceedings, technical studies, and other scholarly channels. Bibliometric indicators such as document count, citation count, and h-index are frequently used as supplementary measures for understanding publication activity and scholarly visibility, although such indicators are most meaningful when interpreted alongside research quality and disciplinary context.[1]

Research Profile

Balamurugan M is affiliated with Acharya Institute of Graduate Studies in India and maintains a research profile associated with Artificial Intelligence. The available Scopus author profile identifies scholarly activity through an indexed author record, providing a structured reference point for publication and citation information.[1] The profile reports 15 documents, 31 citations, and an h-index of 4, representing measurable indicators of documented research dissemination and citation engagement.

  • Research domain associated with Artificial Intelligence and intelligent computational systems.
  • Academic affiliation with Acharya Institute of Graduate Studies, India.
  • Indexed scholarly output consisting of 15 documents.
  • Reported citation count of 31 citations.
  • Reported h-index of 4 based on available bibliometric records.

Research Contributions

Research contributions in Artificial Intelligence generally involve the investigation of computational approaches for representing information, identifying patterns, supporting automated decisions, and improving the efficiency of complex systems. The discipline increasingly intersects with areas such as engineering, healthcare, business analytics, education, environmental studies, and information technology. Consequently, scholarly work in this domain often requires a balance between methodological development and practical applicability.[2]

The research profile of Balamurugan M reflects continued engagement with academic research and publication in the broader Artificial Intelligence domain. Such scholarly activity contributes to the accumulation and exchange of knowledge by documenting methods, experimental findings, computational perspectives, and application-oriented approaches. The value of research contributions is further strengthened when findings are communicated transparently, evaluated through scholarly review, and made available for continued academic discussion.

  • Contribution to the academic literature through documented research publications.
  • Engagement with contemporary computational and intelligent technology research.
  • Support for knowledge development through scholarly dissemination.
  • Participation in research areas relevant to emerging digital and intelligent systems.

Publications

Publication activity represents an important component of academic research because it enables the communication, evaluation, and preservation of scholarly findings. The available indexed profile for Balamurugan M reports 15 documents. These records provide evidence of participation in scholarly dissemination and contribute to the overall assessment of research activity within the relevant disciplinary context.[1]

Publication-based evaluation should not rely solely on numerical quantity. Academic assessment also considers the relevance of research questions, methodological rigor, originality, ethical practice, venue quality, collaboration, and the subsequent use or discussion of research findings. Bibliographic databases and persistent identifiers, including DOI records where assigned, support the traceability and verification of scholarly literature.[3]

  1. Indexed scholarly documents provide a record of research dissemination and academic participation.
  2. Citation databases facilitate the structured tracking of research visibility and scholarly connections.
  3. Persistent identifiers and DOI systems support reliable access to individual scholarly publications where applicable.

Research Impact

Research impact may be understood through multiple dimensions, including scholarly citation, methodological influence, technological relevance, educational value, interdisciplinary application, and contribution to future research directions. The available bibliometric record reports 31 citations and an h-index of 4 for the researcher. These indicators offer one perspective on how published work has been referenced within indexed scholarly literature, while broader qualitative assessment remains important for interpreting research significance.[1]

Within Artificial Intelligence, research impact may extend beyond academic citation when computational methods and intelligent technologies contribute to practical systems, decision support, automation, data analysis, or other forms of knowledge application. The long-term influence of research can therefore emerge through continued scholarly discussion, replication, adaptation, interdisciplinary use, and technological development.

Award Suitability

The Research Excellence Award category is intended to recognize researchers whose academic profiles demonstrate meaningful engagement with scientific investigation, scholarly dissemination, and research advancement. The suitability of a candidate is typically considered through a combination of research experience, publication record, citation evidence, innovation, subject relevance, academic contribution, and the broader significance of the research work.

Based on the available profile information, Balamurugan M demonstrates documented scholarly activity in the area of Artificial Intelligence, supported by indexed publications and measurable bibliometric indicators. The profile’s relevance to a research recognition framework may be considered in relation to continued academic participation, dissemination of research findings, and engagement with a field that remains important to contemporary scientific and technological development.[4]

  • Documented research activity in Artificial Intelligence.
  • Indexed publication record demonstrating scholarly dissemination.
  • Citation and h-index indicators supporting bibliometric assessment.
  • Academic affiliation and engagement with higher education and research.
  • Relevance of the subject area to emerging scientific and technological priorities.

Conclusion

Balamurugan M’s academic profile reflects scholarly engagement in Artificial Intelligence through documented research output and indexed bibliometric indicators. With an affiliation at Acharya Institute of Graduate Studies, 15 reported documents, 31 citations, and an h-index of 4, the available information provides a measurable overview of research dissemination and scholarly visibility.[1]

The consideration of research excellence extends beyond numerical indicators and includes the quality, relevance, originality, and continuing influence of scholarly work. Within the evolving field of Artificial Intelligence, sustained research activity and responsible knowledge development remain important elements of academic progress. The Research Excellence Award provides a recognition framework through which documented research contributions may be evaluated within a broader scholarly context.

References

  1. Scopus. Author profile: Balamurugan M, Author ID 57216032867. Elsevier. Available at:
    https://www.scopus.com/authid/detail.uri?authorId=57216032867
  2. LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521, 436–444.
    DOI: https://doi.org/10.1038/nature14539
  3. Comparative computational impact analysis of multi-layer composite materials
    https://pubs.aip.org/aip/acp/article-abstract/2270/1/040007/723814
  4. Protective and curative effects of polyphenolic extracts from Ichnocarpus frutescense leaves on experimental hepatotoxicity by carbon tretrachloride and tamoxifen
    https://www.medigraphic.com/cgi-bin/new/resumenI.cgi?IDREVISTA=13&IDARTICULO=64637&IDPUBLICACION=6373