Jayakumar Jeganathan
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- Retinal Imaging and Analysis 2
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- Dialysis and Renal Disease Management 2
- Chronic Kidney Disease and Diabetes 1
- Co-authors
- S. Sowmya Kamath (2 shared papers)Gokul Krishnan (1 shared paper)Veena Mayya (2 shared papers)M.S. Biradar (1 shared paper)Mohammed Khalid (1 shared paper)K. Karthik (1 shared paper)Chakrapani Mahabala (1 shared paper)Job Ck (1 shared paper)
- Journals
- IEEE Transactions on Emerging Topics in Computing (1 paper)Nephro-Urology Monthly (1 paper)Oman Journal of Ophthalmology (1 paper)Indian Journal of Critical Care Medicine (1 paper)Saudi Journal of Kidney Diseases and Transplantation (1 paper)
- Partner nations
- India
In The Last Decade
Jayakumar Jeganathan
14 papers receiving 72 citations
Peers
Comparison fields: 5 of 46
- Health Information Management 15
- Health Informatics 3
- Nephrology 14
- Artificial Intelligence 24
- Radiology, Nuclear Medicine and Imaging 15
Countries citing papers authored by Jayakumar Jeganathan
This map shows the geographic impact of Jayakumar Jeganathan'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 Jayakumar Jeganathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayakumar Jeganathan more than expected).
Fields of papers citing papers by Jayakumar Jeganathan
This network shows the impact of papers produced by Jayakumar Jeganathan. 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 Jayakumar Jeganathan. The network helps show where Jayakumar Jeganathan may publish in the future.
Co-authors
The 8 scholars most cited alongside Jayakumar Jeganathan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 26 | |
| 2 | 2012 | 12 | |
| 3 | 2021 | 10 | |
| 4 | 2013 | 7 | |
| 5 | Comparison of the Siriraj stroke score and the Guy’s hospital score in south India | 2012 | 5 |
| 6 | 2013 | 3 | |
| 7 | 2011 | 3 | |
| 8 | 2023 | 3 | |
| 9 | Left ventricular hypertrophy in chronic kidneydisease | 2014 | 2 |
| 10 | Delayed resolution versus treatment failure in paucibacillary leprosy patients under six months fixed duration multidrug therapy. | 1997 | 2 |
| 11 | 2014 | 1 | |
| 12 | 2012 | 1 | |
| 13 | 2012 | 1 | |
| 14 | 2019 | 1 |
About Jayakumar Jeganathan
Jayakumar Jeganathan is a scholar working on Radiology, Nuclear Medicine and Imaging, Nephrology, Epidemiology, Artificial Intelligence and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 77 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (2 papers), Machine Learning in Healthcare (2 papers), Dialysis and Renal Disease Management (2 papers), Diabetes Management and Research (1 paper), Digital Imaging for Blood Diseases (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Vasculitis and related conditions (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Health Information Management (15 citations), Health Informatics (3 citations), Nephrology (14 citations), Artificial Intelligence (24 citations) and Radiology, Nuclear Medicine and Imaging (15 citations). Jayakumar Jeganathan has collaborated with scholars based in India. Frequent co-authors include S. Sowmya Kamath, Gokul Krishnan, Veena Mayya, M.S. Biradar, Mohammed Khalid, K. Karthik, Chakrapani Mahabala and Job Ck. Their work appears in journals such as IEEE Transactions on Emerging Topics in Computing, Nephro-Urology Monthly, Oman Journal of Ophthalmology, Indian Journal of Critical Care Medicine and Saudi Journal of Kidney Diseases and Transplantation.
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.