Best Review Article Award
Suresh
AIIMS New Delhi, India
| Suresh | |
|---|---|
| Affiliation | AIIMS New Delhi |
| Country | India |
| Scopus ID | 60753259600 |
| Documents | 1 |
| Citations | 1 |
| h-index | 1 |
| Subject Area | Digital Health |
| Event | International Research Excellence and Citation Awards |
| ORCID | 0009-0008-0851-9567 |
Suresh is affiliated with AIIMS New Delhi, India, and is associated with research in Digital Health. Available scholarly indexing information records one document, one citation, and an h-index of one. These indicators provide a concise bibliometric snapshot of the researcher’s indexed scholarly output and citation activity. [1]
Abstract
This academic profile presents Suresh’s research association with AIIMS New Delhi and the field of Digital Health. The available bibliometric record indicates one indexed document, one citation, and an h-index of one. The profile is considered in relation to the Best Review Article Award within the International Research Excellence and Citation Awards. The assessment emphasizes documented scholarly activity and the relevance of Digital Health to contemporary healthcare research. [1]
Keywords
Digital Health, medical research, healthcare technology, scholarly communication, review article, bibliometrics, AIIMS New Delhi, research impact.
Introduction
Digital Health encompasses the application of digital technologies, information systems, data resources, and technology-enabled approaches to healthcare and research. Scholarly work in this area supports the evaluation and development of methods that can improve knowledge exchange and healthcare practice. Suresh’s institutional affiliation with AIIMS New Delhi provides an academic and healthcare research context for the profile.
Research Profile
The available profile identifies Digital Health as the principal subject area. Scopus records one document associated with the researcher, together with one citation and an h-index of one. [1] The ORCID identifier provides a persistent scholarly identity reference that can support accurate attribution of research outputs.
Research Contributions
Based on the supplied information, the documented contribution is represented by indexed scholarly output in Digital Health. Review-oriented research can contribute to the synthesis, organization, and critical interpretation of existing evidence. A detailed evaluation of specific findings would require examination of the relevant publication and its bibliographic information.
Publications
The supplied Scopus information records one document. The available data do not provide the publication title, journal, publication year, authorship details, or DOI. Accordingly, no additional publication-specific claims are made without supporting bibliographic evidence. [1]
Research Impact
The recorded bibliometric indicators comprise one document and one citation, with an h-index of one. These measures describe the current indexed citation record but should not be interpreted independently as a complete assessment of research quality or significance. [1]
Award Suitability
The Best Review Article Award is relevant to scholarly work demonstrating value through review, synthesis, interpretation, and communication of research evidence. Suresh’s affiliation with AIIMS New Delhi and research association with Digital Health provide a relevant disciplinary context. Final award assessment should consider the submitted article, originality, methodological rigor, evidence synthesis, scholarly relevance, and applicable evaluation criteria.
Conclusion
Suresh’s profile reflects documented scholarly activity in Digital Health associated with AIIMS New Delhi. The available Scopus indicators provide a concise bibliometric snapshot, while the ORCID record provides a persistent researcher identifier. [1] Assessment for the Best Review Article Award should additionally consider the quality, relevance, and contribution of the associated review publication.
External Links
References
- Elsevier. (n.d.). Scopus author details: Suresh, Author ID 56491596000. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=56491596000 - ORCID. (n.d.). ORCID record: 0000-0002-2783-0106. ORCID.
https://orcid.org/0000-0002-2783-0106