Ravi Vaidyanathan
- Biomedical Engineering top 1%
- Cardiology and Cardiovascular Medicine top 1%
- Aerospace Engineering top 0.5%
- Electrical and Electronic Engineering top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Sebastian MadgwickAndrew HarrisonStuart C BurgessJosé JalifeRoger D. QuinnOmer BerenfeldSamuel WilsonRobert Ploutz‐Snyder
- Topics
- Muscle activation and electromyography studies (41 papers)EEG and Brain-Computer Interfaces (33 papers)Robotic Locomotion and Control (27 papers)
- Cited by
- Cardiology and Cardiovascular MedicinePhysical Therapy, Sports Therapy and RehabilitationHuman-Computer Interaction
- Partner nations
- United KingdomUnited StatesBangladesh
In The Last Decade
Ravi Vaidyanathan
191 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Biomedical Engineering 1.7k
- Cardiology and Cardiovascular Medicine 1.6k
- Aerospace Engineering 1.4k
- Electrical and Electronic Engineering 799
- Cognitive Neuroscience 596
Countries citing papers authored by Ravi Vaidyanathan
This map shows the geographic impact of Ravi Vaidyanathan'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 Ravi Vaidyanathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Vaidyanathan more than expected).
Fields of papers citing papers by Ravi Vaidyanathan
This network shows the impact of papers produced by Ravi Vaidyanathan. 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 Ravi Vaidyanathan. The network helps show where Ravi Vaidyanathan may publish in the future.
Co-authorship network of co-authors of Ravi Vaidyanathan
This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Vaidyanathan. A scholar is included among the top collaborators of Ravi Vaidyanathan 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 Ravi Vaidyanathan. Ravi Vaidyanathan 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 | 3 | |
| 5 | 11 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 38 | |
| 12 | 25 | |
| 13 | 1 | |
| 14 | 52 | |
| 15 | 38 | |
| 16 | 1 | |
| 17 | 44 | |
| 18 | 133 | |
| 19 | 231 | |
| 20 | 200 |
About Ravi Vaidyanathan
Ravi Vaidyanathan is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Physical Therapy, Sports Therapy and Rehabilitation, having authored 205 papers that have together received 6.2k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (41 papers), EEG and Brain-Computer Interfaces (33 papers) and Robotic Locomotion and Control (27 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.6k citations), Physical Therapy, Sports Therapy and Rehabilitation (277 citations) and Human-Computer Interaction (338 citations). Ravi Vaidyanathan has collaborated with scholars based in United Kingdom, United States and Bangladesh. Frequent co-authors include Sebastian Madgwick, Andrew Harrison, Stuart C Burgess, José Jalife, Roger D. Quinn, Omer Berenfeld, Samuel Wilson, Robert Ploutz‐Snyder, Jérôme Kalifa and Alexander S. Boxerbaum. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.