Ramakrishnan Swaminathan
- Biomedical Engineering top 5%
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- P. A. KarthickNagarajan GanapathyS. Edward JeroPalaniappan RamuG. VenugopalThomas M. DesernoHimanshu KumarC. M. Sujatha
- Topics
- Muscle activation and electromyography studies (54 papers)EEG and Brain-Computer Interfaces (42 papers)Advanced Sensor and Energy Harvesting Materials (29 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Catalysis
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Ramakrishnan Swaminathan
177 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 137
- Biomedical Engineering 648
- Cognitive Neuroscience 434
- Radiology, Nuclear Medicine and Imaging 303
- Computer Vision and Pattern Recognition 278
- Cardiology and Cardiovascular Medicine 206
Countries citing papers authored by Ramakrishnan Swaminathan
This map shows the geographic impact of Ramakrishnan Swaminathan'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 Ramakrishnan Swaminathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramakrishnan Swaminathan more than expected).
Fields of papers citing papers by Ramakrishnan Swaminathan
This network shows the impact of papers produced by Ramakrishnan Swaminathan. 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 Ramakrishnan Swaminathan. The network helps show where Ramakrishnan Swaminathan may publish in the future.
Co-authorship network of co-authors of Ramakrishnan Swaminathan
This figure shows the co-authorship network connecting the top 25 collaborators of Ramakrishnan Swaminathan. A scholar is included among the top collaborators of Ramakrishnan Swaminathan 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 Ramakrishnan Swaminathan. Ramakrishnan Swaminathan 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 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 23 | |
| 20 | Analysis on the erythrocyte shape changes using wavelet transforms. | 4 |
About Ramakrishnan Swaminathan
Ramakrishnan Swaminathan is a scholar working on Computational Mathematics, Cognitive Neuroscience and Neurology, having authored 199 papers that have together received 1.7k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (54 papers), EEG and Brain-Computer Interfaces (42 papers) and Advanced Sensor and Energy Harvesting Materials (29 papers). The work is most often cited by research in Cognitive Neuroscience (434 citations), Biomedical Engineering (648 citations) and Neurology (114 citations). Ramakrishnan Swaminathan has collaborated with scholars based in India, Germany and United States. Frequent co-authors include P. A. Karthick, Nagarajan Ganapathy, S. Edward Jero, Palaniappan Ramu, G. Venugopal, Thomas M. Deserno, Himanshu Kumar, C. M. Sujatha, Jac Fredo Agastinose Ronickom and G. Kavitha. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Catalysis.
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.