Althaf Pelati | Remote Sensing of Aerosols | Innovative Research Award

Innovative Research Award

Althaf Pelati
KONERU LAKSHMAIAH EDUCATION FOUNDATION (DEEMED TO BE UNIVERSITY), India

ALTHAF PELATI
Affiliation KONERU LAKSHMAIAH EDUCATION FOUNDATION (DEEMED TO BE UNIVERSITY)
Country India
Scopus ID 57208755588
Documents 8
Citations 64
h-index 5
Subject Area Remote Sensing of Aerosols
Event Indian Scientist Awards
ORCID 0000-0001-5705-3208

Althaf Pelati is a researcher affiliated with KONERU LAKSHMAIAH EDUCATION FOUNDATION (DEEMED TO BE UNIVERSITY), India, whose documented research profile is associated with the subject area of Remote Sensing of Aerosols. The supplied bibliometric record identifies 8 documents, 64 citations, and an h-index of 5 through the listed Scopus author profile.[1] The researcher is presented in connection with the Innovative Research Award under the Indian Scientist Awards recognition framework.

Abstract

This academic recognition profile presents the research record of Althaf Pelati, affiliated with KONERU LAKSHMAIAH EDUCATION FOUNDATION (DEEMED TO BE UNIVERSITY), India. The supplied researcher information identifies Remote Sensing of Aerosols as the principal subject area. The listed Scopus profile records 8 documents, 64 citations, and an h-index of 5.[1] These bibliometric indicators provide a quantitative description of the indexed research record and are considered alongside researcher-identification information available through ORCID and Google Scholar.[2][3] The profile is associated with the Innovative Research Award under the Indian Scientist Awards.

Keywords

Remote Sensing of Aerosols; Remote Sensing; Atmospheric Science; Aerosol Research; Environmental Observation; Earth Observation; Research Metrics; Innovative Research Award; Indian Scientist Awards.

Introduction

Research in remote sensing contributes to the observation and interpretation of environmental and atmospheric processes through remotely acquired information. Within this broad field, aerosol-related research can involve the characterization, monitoring, and analysis of particulate matter and atmospheric optical properties using Earth-observation and related sensing approaches. The present profile identifies Remote Sensing of Aerosols as the research subject associated with Althaf Pelati.

The researcher’s bibliometric information is represented through an identified Scopus author record, while ORCID provides a persistent researcher identifier and Google Scholar provides an additional scholarly-profile resource.[1] [2] [3] Such sources can assist in distinguishing scholarly records and examining publication and citation information, although bibliometric indicators should be interpreted in the context of field, publication practices, database coverage, and the period represented by each database.

Research Profile

Althaf Pelati is affiliated with KONERU LAKSHMAIAH EDUCATION FOUNDATION (DEEMED TO BE UNIVERSITY) in India. The supplied research profile associates the researcher with Remote Sensing of Aerosols and provides a Scopus author identifier of 57208755588.[1] The corresponding bibliometric figures supplied for this article are 8 indexed documents, 64 citations, and an h-index of 5.

Research Profile Indicator Recorded Information
Affiliation KONERU LAKSHMAIAH EDUCATION FOUNDATION (DEEMED TO BE UNIVERSITY)
Country India
Scopus Author ID 57208755588
Documents 8
Citations 64
h-index 5
Subject Area Remote Sensing of Aerosols

Research Contributions

The supplied profile places Althaf Pelati`s  research within Remote Sensing of Aerosols. Based on the available subject-area information, the research domain is situated at the intersection of remote sensing and atmospheric or environmental observation. Specific contribution-level claims are not independently expanded here because the supplied record does not provide individual publication titles, abstracts, datasets, methods, or verified study-level descriptions.

The available bibliometric record provides a measurable indication of scholarly activity, with 8 documents and 64 citations reported in the supplied Scopus profile information.[1] Interpretation of these figures should take account of database indexing and the disciplinary context in which the publications were produced.

Publications

The supplied research record reports 8 documents associated with the identified Scopus author profile.[1] Individual publication titles, journal names, publication years, author lists, and DOI identifiers were not included in the supplied input. Accordingly, this section does not assign specific publications or DOI records without corresponding bibliographic evidence.

The complete indexed publication record may be examined through the researcher’s listed Scopus author profile and supplementary scholarly profile resources provided in the External Links section.[1] [3]

Research Impact

The supplied Scopus metrics report 64 citations and an h-index of 5 for the identified author profile.[1] Citation counts can provide one quantitative perspective on the visibility and use of scholarly publications, while an h-index combines publication and citation information into a single bibliometric measure. Such indicators are database-dependent and can change as databases are updated and additional publications or citations are indexed.

The research subject of Remote Sensing of Aerosols is relevant to scientific observation of atmospheric and environmental conditions. However, the available information does not provide sufficient study-level evidence to quantify broader societal, technological, environmental, or policy impacts attributable to the researcher.

Award Suitability

The profile is presented for consideration under the Innovative Research Award associated with the Indian Scientist Awards. The available information documents an academic affiliation, a defined research subject area, an identified Scopus author record, and the supplied bibliometric indicators of 8 documents, 64 citations, and an h-index of 5.[1] These details provide identifiable research-profile information for an academic recognition record.

Award recognition should be understood in accordance with the applicable award criteria and assessment process. The information presented on this page is a structured academic profile based on the supplied researcher data and linked scholarly records rather than an independent claim about the comparative standing of the researcher.

Conclusion

Althaf Pelati is identified in the supplied academic record as a researcher affiliated with KONERU LAKSHMAIAH EDUCATION FOUNDATION (DEEMED TO BE UNIVERSITY), India, with Remote Sensing of Aerosols identified as the relevant subject area. The supplied Scopus information records 8 documents, 64 citations, and an h-index of 5.[1] The profile also includes persistent researcher-identification resources through ORCID and Google Scholar.[2][3] Together, these details form the documented research-profile basis associated with the Innovative Research Award recognition under the Indian Scientist Awards.

References

  1. Scopus. Author profile: ALTHAF PELATI, Author ID 57208755588.
    https://www.scopus.com/authid/detail.uri?authorId=57208755588
  2. ORCID. Researcher identifier 0000-0001-5705-3208.
    https://orcid.org/0000-0001-5705-3208
  3. Google Scholar. Scholar profile associated with the supplied researcher identifier.
    https://scholar.google.com/citations?user=S0-7_UkAAAAJ&hl=en&oi=sra
  4. A comprehensive analysis of AOD and its species from reanalysis data over the middle east and North Africa regions: Evaluation of model performance using machine learning
    https://link.springer.com/article/10.1007/s41748-024-00513-x
  5. Aerosol Optical Depth over the Andhra Pradesh State in South India from Reanalysis Data: Spatiotemporal Variabilities and Machine Learning Approach: P. Althaf et al.
    https://link.springer.com/article/10.1007/s41748-024-00465-2

Bushra Alarbeed | Cultural Studies | Innovative Research Award

Innovative Research Award

Bushra Alarbeed
Affiliation Indian Institute of Technology Roorkee
Country India
Scopus ID 60210807300
Documents 1
Subject Area Cultural Studies
Event  Indian Scientist Awards
ORCID 0009-0004-4414-699X

Bushra Alarbeed
Indian Institute of Technology Roorkee

Bushra Alarbeed is a researcher affiliated with the Indian Institute of Technology Roorkee, India, whose stated subject area is Cultural Studies. The researcher is associated with an academic profile containing one documented publication record in the supplied information. The profile is presented in connection with the Innovative Research Award under the Indian Scientist Awards event. Bibliographic identifiers and available profile information are presented as supplied for academic recognition and reference purposes.[1][2]

Abstract

Bushra Alarbeed is affiliated with the Indian Institute of Technology Roorkee and is identified within the Cultural Studies subject area. The supplied academic profile records one document and provides Scopus and ORCID identifiers for researcher identification. This article summarizes the available profile information in the context of the Innovative Research Award associated with the Indian Scientist Awards event. The presentation distinguishes documented bibliographic information from details that were not supplied, including citation and h-index values.[1][2]

Keywords

  • Bushra Alarbeed
  • Indian Institute of Technology Roorkee
  • Cultural Studies
  • Innovative Research Award
  • Indian Scientist Awards
  • Research Profile

Introduction

Cultural Studies is an interdisciplinary field concerned with the analysis of culture, representation, identity, social practices, and the relationships between cultural production and wider social contexts. Researchers working in this area may draw on approaches from the humanities and social sciences to examine cultural texts, institutions, communities, and practices. Within this broad academic context, Bushra Alarbeed is identified with the Cultural Studies subject area through the supplied researcher information.

Researcher identifiers such as Scopus author records and ORCID provide mechanisms for distinguishing scholarly profiles and connecting researchers with their academic outputs[1][2] The available information for Alarbeed includes both identifiers and one documented document, allowing the profile to be described without introducing bibliographic statistics that have not been supplied.

Research Profile

The researcher profile identifies Bushra Alarbeed as affiliated with the Indian Institute of Technology Roorkee in India. The stated subject area is Cultural Studies. The supplied bibliographic information records one document. Citation count and h-index values were not provided in the source information used for this article and are therefore not assigned or estimated here.

Profile Element Available Information
Researcher Bushra Alarbeed
Institution Indian Institute of Technology Roorkee
Country India
Subject Area Cultural Studies
Documents 1
Scopus Identifier 58719274000
ORCID 0009-0004-4414-699X

Research Contributions

The available information identifies Cultural Studies as the research subject area associated with Bushra Alarbeed. Because detailed research themes, methodologies, project descriptions, and individual publication contents were not included in the supplied profile data, specific intellectual contributions cannot be attributed without additional primary bibliographic or institutional evidence.

The documented presence of a scholarly publication provides an identifiable research output for profile documentation. Further assessment of contribution areas would appropriately consider the content and methodological characteristics of the publication, its scholarly context, and any additional works associated with the researcher identifier.[1]

Publications

The supplied profile information records 1 document in association with the researcher profile. One publication title, journal, publisher, publication year, authorship sequence, DOI, citation count, or subject-specific publication details were supplied for this article. Accordingly,

  1. One document is reported in the supplied Scopus-related researcher information.

Research Impact

Research impact can be considered through several forms of evidence, including scholarly publications, citations, collaboration, knowledge dissemination, and contributions to academic or wider communities. For the present profile, one document is explicitly identified, while citation and h-index values are not provided. Consequently, this article does not assign a quantitative impact assessment beyond the documented publication count.

The presence of persistent researcher identifiers can support accurate attribution of scholarly outputs. ORCID provides a persistent identifier intended to distinguish researchers and connect them with their research activities, while Scopus author profiles provide bibliographic identification within the Scopus database.[1][2]

Award Suitability

The Innovative Research Award profile is presented for Bushra Alarbeed in connection with the Indian Scientist Awards event. The supplied information establishes an institutional affiliation, a defined research subject area, a documented publication count, and persistent researcher identifiers. These elements provide a structured basis for academic profile documentation.[1][2]

A complete scholarly assessment of award suitability would ordinarily require consideration of the applicable award criteria together with verified research outputs and supporting evidence. The information available for this article is limited to the supplied profile details and therefore does not independently establish additional achievements, citation impact, or research outcomes beyond those explicitly documented.

Conclusion

Bushra Alarbeed is identified as a researcher affiliated with the Indian Institute of Technology Roorkee, India, with Cultural Studies listed as the subject area. The supplied profile records one document and includes Scopus and ORCID identifiers. In the context of the Indian Scientist Awards event, the researcher is associated with the Innovative Research Award. The profile presented here remains limited to documented information supplied for the recognition page and avoids unsupported bibliographic or impact claims.

References

      1. Scopus. Researcher author profile associated with the supplied Scopus identifier.
        https://www.scopus.com/authid/detail.uri?authorId=60210807300
      2. ORCID. Researcher identifier 0009-0004-4414-699X.
        https://orcid.org/0009-0004-4414-699X.
      3. Al-Madafah in Sweida, Southern Syria: An Exploration of Architectural Heritage and Socio-Cultural Significance
        https://www.mdpi.com/2571-9408/8/11/487

Alok Singh Chauhan | Machine Learning | Innovative Research Award

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

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.

Amit Rastogi | Astrobiology | Innovative Research Award

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

Shaurya Prakash | Mycology | Innovative Research Award

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

Arpita Ghosh Mitra | Physiotherapy | Innovative Research Award

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

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

 

Souren Paul | Cancer Biology | Innovative Research Award

 

Innovative Research Award

Souren Paul
TERI School of Advanced Studies, India

Souren Paul
Affiliation TERI School of Advanced Studies
Country India
Scopus ID 55550719400
Documents 29
Citations 1,101
h-index 20
Subject Area Cancer Biology
Event Indian Scientist Awards

Souren Paul, affiliated with the TERI School of Advanced Studies in India. The supplied academic profile identifies Cancer Biology as the principal subject area and reports 29 documents, 1,101 citations, and an h-index of 20. These bibliometric indicators provide a quantitative view of the research output and citation visibility associated with the profile. [1]

The award profile is presented as an academic recognition article rather than as an independent assessment of the researcher’s work. Bibliometric indicators can provide useful evidence of scholarly visibility, but they are best considered alongside the quality, originality, reproducibility, relevance, and broader contribution of individual research outputs.[2]

Abstract

Souren Paul is presented in this academic recognition profile as a researcher associated with the TERI School of Advanced Studies, India, with Cancer Biology identified as the principal subject area. The supplied Scopus profile reports 29 documents, 1,101 citations, and an h-index of 20. [1] Within the context of the Innovative Research Award, these indicators constitute part of the available evidence concerning scholarly productivity and citation impact. A complete award assessment should additionally consider the originality and significance of the underlying research, methodological rigor, publication quality, and relevance to scientific advancement.

Keywords

  • Innovative Research Award
  • Souren Paul
  • Cancer Biology
  • TERI School of Advanced Studies
  • Research Impact
  • Bibliometrics
  • Scientific Research

Introduction

Cancer Biology encompasses the study of the molecular, cellular, genetic, biochemical, and physiological mechanisms involved in cancer initiation, development, progression, and response to intervention. Research in this field contributes to a broader understanding of disease mechanisms and can inform the development of improved diagnostic, preventive, and therapeutic approaches.

The present profile places Souren Paul within this research domain through the subject classification supplied for the award record. The available bibliometric information indicates a sustained body of indexed scholarly output and a measurable citation footprint. [1] Such information is useful for documenting research visibility, although citation counts alone do not establish the scientific quality or practical significance of individual contributions. [2]

An academic recognition profile therefore benefits from considering quantitative indicators together with publication evidence, research themes, methodological contributions, collaboration, and potential societal or scientific relevance. This approach supports a more balanced interpretation of research achievement.

Research Profile

Souren Paul is identified in the supplied information as being affiliated with the TERI School of Advanced Studies in India. The stated research subject area is Cancer Biology. The accompanying Scopus identifier is 55550719400, providing a persistent author-level reference for the supplied bibliometric record. [1]

According to the provided profile data, the researcher has 29 documents, 1,101 citations, and an h-index of 20. [1] These values describe the bibliometric record supplied for this article and may change as indexing databases are updated. Consequently, database figures should be interpreted as time-dependent measurements rather than permanent characteristics.

Profile indicators

  • Institution: TERI School of Advanced Studies
  • Country: India
  • Research area: Cancer Biology
  • Documents: 29
  • Citations: 1,101
  • h-index: 20

Research Contributions

The supplied information establishes Cancer Biology as the principal subject area associated with Souren Paul’s profile. However, specific article titles, experimental findings, methodologies, patents, datasets, or translational outcomes were not included in the source information supplied for this page. For that reason, this article does not attribute particular scientific discoveries or detailed experimental conclusions to the researcher without corresponding publication-level evidence.

From an academic evaluation perspective, research contributions in Cancer Biology may be assessed through several complementary dimensions, including the originality of research questions, robustness of experimental design, quality of evidence, reproducibility, interdisciplinary integration, and the extent to which findings advance understanding of cancer-related biological processes. [2] [3]

The distinction between bibliometric visibility and demonstrated scientific contribution is important in award evaluation. A strong research record is most appropriately assessed by examining the primary literature alongside independent evidence of scholarly influence. [2]

Publications

The supplied profile reports 29 indexed documents in the researcher’s Scopus record. [1] Because publication titles, journals, years, author lists, and DOI identifiers were not provided in the source material, a publication-by-publication bibliography is not reproduced here. The authoritative indexed record should be consulted for the current publication list.

For academic verification, publication records should ideally be cross-checked against the relevant journal or publisher pages and persistent identifiers such as Digital Object Identifiers (DOIs). DOI-based identification provides a stable method for locating scholarly publications and distinguishing individual works.

A publication assessment for award purposes may consider peer-review status, journal quality, authorship contribution, research originality, citation context, methodological rigor, and the significance of the findings rather than relying exclusively on publication counts.

Research Impact

The reported citation count of 1,101 and h-index of 20 indicate measurable citation visibility within the supplied Scopus record. [1] The h-index is a commonly used bibliometric indicator that combines publication productivity with citation frequency, although it has important limitations when comparing researchers across disciplines, career stages, and publication environments. [2]

Research impact in Cancer Biology can extend beyond citation measures to include contributions to scientific knowledge, methodological advancement, interdisciplinary research, trainingref2, collaboration, translational research, and evidence that informs future investigation. A complete impact assessment should therefore incorporate both quantitative and qualitative evidence.

Indicative impact dimensions

  • Scholarly publication and dissemination
  • Citation visibility and academic influence
  • Contribution to Cancer Biology research
  • Potential interdisciplinary relevance
  • Potential contribution to future biomedical research

Award Suitability

The supplied profile provides several indicators that may be relevant to consideration for the Innovative Research Award, including a defined research specialization in Cancer Biology, an indexed publication record, and reported citation metrics. [1] These indicators can form part of a nomination dossier but should not, by themselves, be interpreted as proof of award eligibility or final selection.

For a rigorous award assessment, the research record may be evaluated according to the following dimensions:

  1. Originality: the extent to which the research introduces novel questions, methods, interpretations, or findings.
  2. Scientific rigor: the strength, transparency, reproducibility, and methodological quality of the research.
  3. Research output: the quality and relevance of peer-reviewed scholarly publications and other research outputs.
  4. Scholarly influence: evidence of meaningful engagement with the research by the scientific community, including appropriately interpreted citation indicators.
  5. Field relevance: the contribution of the work to contemporary challenges and knowledge development in Cancer Biology.
  6. Broader significance: potential relevance to interdisciplinary research, biomedical understanding, or future scientific applications.

On the information supplied, Souren Paul’s documented research profile presents a reasonable basis for consideration within an innovative research recognition framework. Final suitability should remain subject to the official award criteria, verification of supporting documentation, and independent evaluation of the underlying research outputs.

Conclusion

The Innovative Research Award profile for Souren Paul documents an academic association with the TERI School of Advanced Studies in India and identifies Cancer Biology as the principal research area. The supplied Scopus information records 29 documents, 1,101 citations, and an h-index of 20. [1] These indicators demonstrate a documented scholarly presence but should be interpreted together with publication-level evidence and qualitative assessment.

A balanced recognition process should place bibliometric measures within the broader context of originality, scientific rigor, research significance, reproducibility, and contribution to the advancement of knowledge. On that basis, the supplied profile provides relevant academic evidence for consideration for an innovation-oriented research award, while the final determination remains dependent on formal eligibility requirements and independent review.

References

  1. Elsevier. Scopus Author Profile: Souren Paul. Scopus Author ID 55550719400. The profile information supplied for this article reports 29 documents, 1,101 citations, and an h-index of 20.

    https://www.scopus.com/authid/detail.uri?authorId=55550719400

  2. 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.

  3. Hanahan, D. (2022). Hallmarks of Cancer: New Dimensions. Cancer Discovery, 12(1), 31–46.

    https://doi.org/10.1158/2159-8290.CD-21-1059.

  4. Trachyspermum ammi (L.) fruit essential oil influencing on membrane permeability and surface characteristics in inhibiting food-borne pathogens

    https://www.sciencedirect.com/science/article/abs/pii/S0956713510003592

 

Sunita Adhikari | Molecular plant pathology | Innovative Research Award

Innovative Research Award

Sunita Adhikari
PhD applicant, Birmingham University, UK
Sunita Adhikari
Affiliation Birmingham University, UK
Country India
Scopus ID 60727544200
Documents 1
Subject Area Molecular plant pathology
Event Indian Scientist Awards

Sunita Adhikari is a researcher identified with the subject area of molecular plant pathology and is currently described as a PhD applicant at Birmingham University, UK. Her research profile is situated within a field concerned with understanding plant–pathogen interactions, disease mechanisms, pathogen detection and molecular approaches to plant health. The available profile information records one document in Scopus and identifies India as her country. The profile presented here summarizes the supplied academic information and places it in the broader scholarly context of molecular plant pathology.

Abstract

This academic recognition profile presents Sunita Adhikari in relation to the Innovative Research Award and the research domain of molecular plant pathology. The supplied information identifies her as a PhD applicant at Birmingham University, UK, with India recorded as her country and molecular plant pathology listed as her subject area. Her indexed research record currently includes one Scopus document. Molecular plant pathology encompasses the study of molecular interactions between plants and pathogenic organisms and supports the development of improved approaches to pathogen detection, disease characterization and plant disease management. Molecular diagnostic methods have substantially expanded the capacity to detect and characterize plant pathogens and have become an important component of contemporary plant pathology.[1][2]

Keywords

Sunita Adhikari; Innovative Research Award; molecular plant pathology; plant pathology; plant–pathogen interactions; molecular diagnostics; plant disease biology; agricultural research; pathogen detection; plant health; scientific research; India.

Introduction

Molecular plant pathology is an interdisciplinary area linking plant biology, microbiology, genetics, molecular biology and agricultural science. It examines the molecular basis of plant diseases and the interactions that occur between host plants and pathogens. Contemporary approaches include nucleic-acid-based diagnostics, pathogen genome analysis, molecular characterization and investigation of host responses. Such methods can improve the specificity and sensitivity of disease detection and can contribute to more informed disease-management strategies.[1][2]

Research in this area is relevant to agricultural productivity because reliable disease identification is an important prerequisite for effective plant-health interventions. Molecular studies also provide a framework for examining pathogen effectors, host defense pathways and other biological mechanisms underlying disease development.[3][4] Within this broader research landscape, a researcher working in molecular plant pathology may contribute through laboratory investigation, molecular characterization, diagnostic development, pathogen biology or related areas of plant health research.

Research Profile

The supplied profile identifies Sunita Adhikari as a PhD applicant at Birmingham University, UK, and associates her research with molecular plant pathology. The country recorded for the profile is India. Her Scopus author identifier is 60727544200, and the supplied record indicates one document. No citation count, h-index or ORCID identifier was provided in the source information supplied for this page; these fields are therefore not presented as verified metrics.

The research area of molecular plant pathology provides a broad scientific setting in which molecular techniques can be applied to questions involving pathogen detection, disease etiology, host responses and plant disease management. Established literature demonstrates the importance of molecular diagnostic technologies in identifying plant pathogens and supporting disease-management decisions.[1] More recent research has also emphasized molecular investigation of plant–pathogen interactions and the biological mechanisms that influence disease outcomes.[4]

Research Contributions

Based on the supplied subject area, the potential contribution profile can be described within the established scope of molecular plant pathology. Specific publications or experimental findings beyond the supplied Scopus record have not been provided and are therefore not attributed to the researcher without supporting evidence.

  • Molecular investigation of plant disease processes and plant–pathogen interactions.
  • Application of molecular approaches to the identification and characterization of plant pathogens.
  • Research relevant to improved understanding of host responses and pathogen-associated mechanisms.
  • Potential contribution to evidence-based plant-health and disease-management research.

These areas are consistent with the broader development of molecular phytodiagnostics, where PCR, sequencing and other molecular technologies have expanded the range of pathogens that can be detected and characterized.[2] Molecular studies of plant–pathogen interactions likewise provide important biological context for understanding disease resistance and susceptibility.[4]

Publications

The supplied Scopus information records one document associated with the researcher identifier provided above. Because the title, journal, year, authorship details and DOI of that document were not supplied, no individual publication is attributed to Sunita Adhikari in this section. The distinction is maintained to avoid assigning unrelated publications to the researcher.

For contextual comparison, the wider literature in molecular plant pathology includes research on molecular phytodiagnostics, molecular diagnostics for plant disease management and molecular mechanisms of plant–pathogen interactions.[1][2][4] These sources provide scholarly background for the subject area but should not be interpreted as publications authored by Sunita Adhikari.

Research Impact

The potential impact of molecular plant pathology lies in its capacity to connect fundamental biological knowledge with practical plant-health applications. Accurate and timely pathogen detection can support disease surveillance, diagnosis and management, while molecular investigation can help clarify pathogen biology and host responses.[1][2] The scientific value of research in this area is therefore connected not only to publication output but also to the reproducibility, methodological rigor and practical relevance of the findings.

For Sunita Adhikari, the available profile provides evidence of research activity in the molecular plant pathology domain and records one indexed document. A fuller assessment of research impact would require verified publication-level information, citation data, h-index information, research outputs and evidence of scholarly or applied outcomes. Such metrics have not been supplied and are not inferred here.

Award Suitability

The Innovative Research Award is presented in this profile as a recognition category associated with the Indian Scientist Awards event. On the information supplied, Sunita Adhikari’s subject area of molecular plant pathology is scientifically aligned with research themes involving plant health, molecular biology, pathogen characterization and disease-related investigation. The suitability of a nomination should nevertheless be determined through the award’s formal eligibility requirements and an independent assessment of the submitted research evidence.

Relevant evaluation considerations for an innovative research recognition may include:

  • Originality and scientific rationale of the research.
  • Methodological quality and clarity of the research approach.
  • Relevance to molecular plant pathology and plant-health research.
  • Quality and verifiability of publications or other research outputs.
  • Potential scientific, agricultural or societal relevance of the work.

These criteria are general scholarly considerations rather than a statement of the official award rules. Applicants and nominators should consult the official award information before relying on eligibility or evaluation requirements.

Conclusion

Sunita Adhikari is presented in the supplied academic profile as a PhD applicant at Birmingham University, UK, working in the subject area of molecular plant pathology. Her profile records India as her country and identifies one Scopus document under the supplied author identifier. Molecular plant pathology is a research field with established importance in pathogen detection, plant disease biology and the study of plant–pathogen interactions.[1][2][4] The available information supports consideration of her research within the broader context of innovative plant pathology research, while a definitive assessment of award merit requires verification of the underlying research outputs and compliance with the applicable award criteria.

References

  1. Martin, R. R., James, D., & Lévesque, C. A. (2000). Impacts of Molecular Diagnostic Technologies on Plant Disease Management. Annual Review of Phytopathology, 38, 207–239. https://doi.org/10.1146/annurev.phyto.38.1.207.
  2. Mumford, R., Boonham, N., Tomlinson, J., & Barker, I. (2006). Advances in molecular phytodiagnostics — new solutions for old problems. European Journal of Plant Pathology, 116(1), 1–19. https://doi.org/10.1007/s10658-006-9037-0.
  3. Rosa, C., Kuo, Y.-W., Wuriyanghan, H., & Falk, B. W. (2018). RNA Interference Mechanisms and Applications in Plant Pathology. Annual Review of Phytopathology, 56, 581–610. https://doi.org/10.1146/annurev-phyto-080417-050044.
  4. Ijaz, U., Zhao, C., Shabala, S., & Zhou, M. (2024). Molecular Basis of Plant-Pathogen Interactions in the Agricultural Context. Biology, 13(6), 421. https://doi.org/10.3390/biology13060421.