Vidya K. Sudarshan
- Cardiology and Cardiovascular Medicine top 2%
- Cognitive Neuroscience top 2%
- Biomedical Engineering top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Co-authors
- U. Rajendra AcharyaHamido FujitaJoel E.W. KohJen Hong TanRu‐San TanShreya BhatMuhammad AdamShu Lih Oh
- Topics
- Heart Rate Variability and Autonomic Control (16 papers)ECG Monitoring and Analysis (16 papers)EEG and Brain-Computer Interfaces (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers & EducationInformation Sciences
In The Last Decade
Vidya K. Sudarshan
48 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Cardiology and Cardiovascular Medicine 1.2k
- Cognitive Neuroscience 1.1k
- Biomedical Engineering 439
- Radiology, Nuclear Medicine and Imaging 391
- Artificial Intelligence 321
Countries citing papers authored by Vidya K. Sudarshan
This map shows the geographic impact of Vidya K. Sudarshan'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 Vidya K. Sudarshan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vidya K. Sudarshan more than expected).
Fields of papers citing papers by Vidya K. Sudarshan
This network shows the impact of papers produced by Vidya K. Sudarshan. 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 Vidya K. Sudarshan. The network helps show where Vidya K. Sudarshan may publish in the future.
Co-authorship network of co-authors of Vidya K. Sudarshan
This figure shows the co-authorship network connecting the top 25 collaborators of Vidya K. Sudarshan. A scholar is included among the top collaborators of Vidya K. Sudarshan 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 Vidya K. Sudarshan. Vidya K. Sudarshan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 18 | |
| 6 | Cyto- histopathological correlation of breast lesions –A rural hospital based study | 2 |
| 7 | 36 | |
| 8 | 48 | |
| 9 | 54 | |
| 10 | 43 | |
| 11 | 78 | |
| 12 | 7 | |
| 13 | 67 | |
| 14 | 193 | |
| 15 | 38 | |
| 16 | 16 | |
| 17 | 93 | |
| 18 | 15 | |
| 19 | 208 | |
| 20 | 64 |
About Vidya K. Sudarshan
Vidya K. Sudarshan is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 2.5k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (16 papers), ECG Monitoring and Analysis (16 papers) and EEG and Brain-Computer Interfaces (13 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cardiology and Cardiovascular Medicine (1.2k citations) and Health Information Management (137 citations). Vidya K. Sudarshan has collaborated with scholars based in Singapore, Malaysia and Japan. Frequent co-authors include U. Rajendra Acharya, Hamido Fujita, Joel E.W. Koh, Jen Hong Tan, Ru‐San Tan, Shreya Bhat, Muhammad Adam, Shu Lih Oh, Dhanjoo N. Ghista and Yuki Hagiwara. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers & Education and Information Sciences.
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.