Madhav Erraguntla
- Endocrinology, Diabetes and Metabolism top 10%
- Public Health, Environmental and Occupational Health
- Cardiology and Cardiovascular Medicine
- Genetics
- Artificial Intelligence
- Co-authors
- Mark LawleyRichard J. MayerRanjana K. MehtaDursun DelenFarzan SasangoharSiripoom McKayDaniel J. DeSalvoChester J. Koh
- Topics
- Diabetes Management and Research (15 papers)Diabetes and associated disorders (8 papers)Heart Rate Variability and Autonomic Control (7 papers)
- Cited by
- Health Information ManagementEndocrinology, Diabetes and MetabolismManagement of Technology and Innovation
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- United StatesQatarUnited Kingdom
In The Last Decade
Madhav Erraguntla
57 papers receiving 693 citations
Peers
Comparison fields: 5 of 115
- Endocrinology, Diabetes and Metabolism 181
- Public Health, Environmental and Occupational Health 96
- Cardiology and Cardiovascular Medicine 93
- Genetics 90
- Artificial Intelligence 88
Countries citing papers authored by Madhav Erraguntla
This map shows the geographic impact of Madhav Erraguntla'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 Madhav Erraguntla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhav Erraguntla more than expected).
Fields of papers citing papers by Madhav Erraguntla
This network shows the impact of papers produced by Madhav Erraguntla. 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 Madhav Erraguntla. The network helps show where Madhav Erraguntla may publish in the future.
Co-authorship network of co-authors of Madhav Erraguntla
This figure shows the co-authorship network connecting the top 25 collaborators of Madhav Erraguntla. A scholar is included among the top collaborators of Madhav Erraguntla based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Madhav Erraguntla. Madhav Erraguntla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 84 | |
| 13 | 3 | |
| 14 | 45 | |
| 15 | 22 | |
| 16 | Medical Material Management Support Using Data Mining and Analytics | 1 |
| 17 | 15 | |
| 18 | 3 | |
| 19 | 14 | |
| 20 | 12 |
About Madhav Erraguntla
Madhav Erraguntla is a scholar working on Modeling and Simulation, Endocrinology, Diabetes and Metabolism and Management Information Systems, having authored 63 papers that have together received 718 indexed citations. Recurring topics across this work include Diabetes Management and Research (15 papers), Diabetes and associated disorders (8 papers) and Heart Rate Variability and Autonomic Control (7 papers). The work is most often cited by research in Health Information Management (73 citations), Endocrinology, Diabetes and Metabolism (181 citations) and Management of Technology and Innovation (63 citations). Madhav Erraguntla has collaborated with scholars based in United States, Qatar and United Kingdom. Frequent co-authors include Mark Lawley, Richard J. Mayer, Ranjana K. Mehta, Dursun Delen, Farzan Sasangohar, Siripoom McKay, Daniel J. DeSalvo, Chester J. Koh, Yibo Zhu and Akhil Shenoy. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.