Balakrishnan Ramasamy
- Neurology top 10%
- Cognitive Neuroscience
- Signal Processing top 10%
- Biomedical Engineering
- Psychiatry and Mental health
- Co-authors
- S. Thomas GeorgeEaster S. SuviseshamuthuM. S. P. SubathraN. J. SairamyaVettriselvi VenkatesanVarsha RameshJ. JayakumarJeffrey S. Johnson
- Topics
- Acute Ischemic Stroke Management (9 papers)Cerebrovascular and Carotid Artery Diseases (6 papers)Peripheral Neuropathies and Disorders (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaClinical Infectious DiseasesNeural Computation
- Partner nations
- IndiaUnited StatesBelgium
In The Last Decade
Balakrishnan Ramasamy
39 papers receiving 311 citations
Peers
Comparison fields: 5 of 94
- Neurology 97
- Cognitive Neuroscience 71
- Signal Processing 51
- Biomedical Engineering 48
- Psychiatry and Mental health 44
Countries citing papers authored by Balakrishnan Ramasamy
This map shows the geographic impact of Balakrishnan Ramasamy'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 Balakrishnan Ramasamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balakrishnan Ramasamy more than expected).
Fields of papers citing papers by Balakrishnan Ramasamy
This network shows the impact of papers produced by Balakrishnan Ramasamy. 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 Balakrishnan Ramasamy. The network helps show where Balakrishnan Ramasamy may publish in the future.
Co-authorship network of co-authors of Balakrishnan Ramasamy
This figure shows the co-authorship network connecting the top 25 collaborators of Balakrishnan Ramasamy. A scholar is included among the top collaborators of Balakrishnan Ramasamy 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 Balakrishnan Ramasamy. Balakrishnan Ramasamy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 29 | |
| 11 | A study on fuzzy extreme learning machine algorithm using swarm optimization for microarray gene expression and multiclass cancer classification | 1 |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | "Herbal remedy is natural and safe"--truth or myth? | 4 |
| 18 | 10 | |
| 19 | 0 | |
| 20 | Semantic Modeling and Retrieval of Dance Video Annotations | 3 |
About Balakrishnan Ramasamy
Balakrishnan Ramasamy is a scholar working on Microbiology, Neurology and Internal Medicine, having authored 49 papers that have together received 318 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (9 papers), Cerebrovascular and Carotid Artery Diseases (6 papers) and Peripheral Neuropathies and Disorders (5 papers). The work is most often cited by research in Neurology (97 citations), Physical Therapy, Sports Therapy and Rehabilitation (25 citations) and Signal Processing (51 citations). Balakrishnan Ramasamy has collaborated with scholars based in India, United States and Belgium. Frequent co-authors include S. Thomas George, Easter S. Suviseshamuthu, M. S. P. Subathra, N. J. Sairamya, Vettriselvi Venkatesan, Varsha Ramesh, J. Jayakumar, Jeffrey S. Johnson, Mahesh Kate and P.S. Sarma. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Neural Computation.
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.