Kaviraja Udupa
- Neurology top 1%
- Neurology top 2%
- Cognitive Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Robert ChenAnanda Balayogi BhavananiCarolyn GunrajZhen NiMadanmohanTalakad N. SathyaprabhaJagadisha ThirthalliBangalore N. Gangadhar
- Topics
- Transcranial Magnetic Stimulation Studies (31 papers)Heart Rate Variability and Autonomic Control (24 papers)Neurological disorders and treatments (22 papers)
- Cited by
- NeurologyCognitive Neuroscience
- Journals
- JAMAJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Kaviraja Udupa
72 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 104
- Neurology 746
- Neurology 633
- Cognitive Neuroscience 576
- Cardiology and Cardiovascular Medicine 484
- Cellular and Molecular Neuroscience 391
Countries citing papers authored by Kaviraja Udupa
This map shows the geographic impact of Kaviraja Udupa'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 Kaviraja Udupa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaviraja Udupa more than expected).
Fields of papers citing papers by Kaviraja Udupa
This network shows the impact of papers produced by Kaviraja Udupa. 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 Kaviraja Udupa. The network helps show where Kaviraja Udupa may publish in the future.
Co-authorship network of co-authors of Kaviraja Udupa
This figure shows the co-authorship network connecting the top 25 collaborators of Kaviraja Udupa. A scholar is included among the top collaborators of Kaviraja Udupa 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 Kaviraja Udupa. Kaviraja Udupa 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 25 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 15 | |
| 13 | 8 | |
| 14 | 12 | |
| 15 | 5 | |
| 16 | 9 | |
| 17 | 15 | |
| 18 | 2 | |
| 19 | 28 | |
| 20 | 185 |
About Kaviraja Udupa
Kaviraja Udupa is a scholar working on Neurology, Neurology and Cardiology and Cardiovascular Medicine, having authored 77 papers that have together received 2.1k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (31 papers), Heart Rate Variability and Autonomic Control (24 papers) and Neurological disorders and treatments (22 papers). The work is most often cited by research in Neurology (746 citations), Neurology (633 citations) and Cognitive Neuroscience (576 citations). Kaviraja Udupa has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Robert Chen, Ananda Balayogi Bhavanani, Carolyn Gunraj, Zhen Ni, Madanmohan, Talakad N. Sathyaprabha, Jagadisha Thirthalli, Bangalore N. Gangadhar, T.R. Raju and Andrés M. Lozano. Their work appears in journals such as JAMA, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.