Nikunj Bhagat
- Biomedical Engineering top 10%
- Cognitive Neuroscience top 10%
- Rehabilitation top 2%
- Cellular and Molecular Neuroscience
- Pathology and Forensic Medicine
- Co-authors
- José L. Contreras-VidalNuray YozbatıranMarcia K. O’MalleyGerard E. FranciscoRobert G. GrossmanYongtian HeKevin NathanAnusha Venkatakrishnan
- Topics
- EEG and Brain-Computer Interfaces (11 papers)Muscle activation and electromyography studies (8 papers)Neuroscience and Neural Engineering (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaFrontiers in NeuroscienceJournal of Neural Engineering
- Partner nations
- United StatesIndiaBangladesh
In The Last Decade
Nikunj Bhagat
15 papers receiving 393 citations
Peers
Comparison fields: 5 of 40
- Biomedical Engineering 259
- Cognitive Neuroscience 210
- Rehabilitation 178
- Cellular and Molecular Neuroscience 114
- Pathology and Forensic Medicine 64
Countries citing papers authored by Nikunj Bhagat
This map shows the geographic impact of Nikunj Bhagat'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 Nikunj Bhagat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikunj Bhagat more than expected).
Fields of papers citing papers by Nikunj Bhagat
This network shows the impact of papers produced by Nikunj Bhagat. 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 Nikunj Bhagat. The network helps show where Nikunj Bhagat may publish in the future.
Co-authorship network of co-authors of Nikunj Bhagat
This figure shows the co-authorship network connecting the top 25 collaborators of Nikunj Bhagat. A scholar is included among the top collaborators of Nikunj Bhagat 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 Nikunj Bhagat. Nikunj Bhagat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 17 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 38 | |
| 11 | 7 | |
| 12 | 15 | |
| 13 | 142 | |
| 14 | 127 | |
| 15 | 19 | |
| 16 | 3 | |
| 17 | Sensing and Cancellation of Tremors in Surgeon's Hands during Microsurgery | 3 |
About Nikunj Bhagat
Nikunj Bhagat is a scholar working on Cognitive Neuroscience, Rehabilitation and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 402 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Muscle activation and electromyography studies (8 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Rehabilitation (178 citations), Cognitive Neuroscience (210 citations) and Cellular and Molecular Neuroscience (114 citations). Nikunj Bhagat has collaborated with scholars based in United States, India and Bangladesh. Frequent co-authors include José L. Contreras-Vidal, Nuray Yozbatıran, Marcia K. O’Malley, Gerard E. Francisco, Robert G. Grossman, Yongtian He, Kevin Nathan, Anusha Venkatakrishnan, Fangshi Zhu and Sho Nakagome. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Neuroscience and Journal of Neural Engineering.
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.