Vignesh Subbian
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Electronic Health Records Systems
Papers in
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- Respiratory Support and Mechanisms 5
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- Biomedical and Engineering Education 5
- Co-authors
- Mark Sundman (1 shared paper)Ying‐hui Chou (1 shared paper)Nan‐kuei Chen (1 shared paper)Fred R. Beyette (13 shared papers)Jarrod Mosier (10 shared papers)Anthony Solomonides (7 shared papers)Kenneth W. Goodman (6 shared papers)Sheila M. Gephart (9 shared papers)
- Journals
- Journal of the American Medical Informatics Association (5 papers)Journal of Biomedical Informatics (3 papers)Yearbook of Medical Informatics (3 papers)Drug Safety (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesIndiaFinland
In The Last Decade
Vignesh Subbian
77 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 152
- Health Informatics 43
- Health Information Management 57
- Biological Psychiatry 28
- Geriatrics and Gerontology 22
- Computer Science Applications 35
Countries citing papers authored by Vignesh Subbian
This map shows the geographic impact of Vignesh Subbian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vignesh Subbian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vignesh Subbian more than expected).
Fields of papers citing papers by Vignesh Subbian
This network shows the impact of papers produced by Vignesh Subbian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vignesh Subbian. The network helps show where Vignesh Subbian may publish in the future.
Co-authors
The 25 scholars most cited alongside Vignesh Subbian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 158 | |
| 2 | 2020 | 87 | |
| 3 | 2015 | 57 | |
| 4 | 2021 | 41 | |
| 5 | 2020 | 37 | |
| 6 | 2022 | 37 | |
| 7 | 2018 | 31 | |
| 8 | 2020 | 29 | |
| 9 | 2018 | 27 | |
| 10 | 2022 | 26 | |
| 11 | 2013 | 25 | |
| 12 | 2015 | 22 | |
| 13 | 2014 | 22 | |
| 14 | 2023 | 21 | |
| 15 | 2020 | 21 | |
| 16 | 2022 | 21 | |
| 17 | 2020 | 20 | |
| 18 | 2020 | 19 | |
| 19 | 2018 | 19 | |
| 20 | 2021 | 18 |
About Vignesh Subbian
Vignesh Subbian is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering, Education, General Health Professions and Artificial Intelligence, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (7 papers), Respiratory Support and Mechanisms (5 papers), Traumatic Brain Injury Research (5 papers), Biomedical and Engineering Education (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Engineering Education and Pedagogy (4 papers), Electronic Health Records Systems (4 papers) and Engineering Education and Curriculum Development (4 papers). The work is most often cited by research in Health Informatics (43 citations), Health Information Management (57 citations), Biological Psychiatry (28 citations), Geriatrics and Gerontology (22 citations) and Computer Science Applications (35 citations). Vignesh Subbian has collaborated with scholars based in United States, India and Finland. Frequent co-authors include Mark Sundman, Ying‐hui Chou, Nan‐kuei Chen, Fred R. Beyette, Jarrod Mosier, Anthony Solomonides, Kenneth W. Goodman, Sheila M. Gephart, Bonnie J. Kaplan and John R. Horn. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, Yearbook of Medical Informatics, Drug Safety and PLoS ONE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.