Abhishek Datta
- Neurology top 0.02%
- Cognitive Neuroscience top 0.2%
- Cellular and Molecular Neuroscience top 1%
- Biomedical Engineering top 1%
- Psychiatry and Mental health top 1%
- Co-authors
- Marom BiksonLucas C. ParraDavide ReatoPreet MinhasVarun BansalJulián DíazFelipe FregniAsif Rahman
- Topics
- Transcranial Magnetic Stimulation Studies (130 papers)Neuroscience and Neural Engineering (56 papers)Muscle activation and electromyography studies (32 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- United StatesBrazilGermany
In The Last Decade
Abhishek Datta
170 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Neurology 7.0k
- Cognitive Neuroscience 4.7k
- Cellular and Molecular Neuroscience 1.8k
- Biomedical Engineering 1.6k
- Psychiatry and Mental health 960
Countries citing papers authored by Abhishek Datta
This map shows the geographic impact of Abhishek Datta'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 Abhishek Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhishek Datta more than expected).
Fields of papers citing papers by Abhishek Datta
This network shows the impact of papers produced by Abhishek Datta. 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 Abhishek Datta. The network helps show where Abhishek Datta may publish in the future.
Co-authorship network of co-authors of Abhishek Datta
This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Datta. A scholar is included among the top collaborators of Abhishek Datta 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 Abhishek Datta. Abhishek Datta 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 | 1 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 19 | |
| 9 | 46 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | A Mutually Verifiable Billing System For The Cloud Computing Environment | 0 |
| 13 | 388 | |
| 14 | 140 | |
| 15 | 61 | |
| 16 | 86 | |
| 17 | 198 | |
| 18 | 249 | |
| 19 | 58 | |
| 20 | 100 |
About Abhishek Datta
Abhishek Datta is a scholar working on Neurology, Anesthesiology and Pain Medicine and Cognitive Neuroscience, having authored 181 papers that have together received 9.7k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (130 papers), Neuroscience and Neural Engineering (56 papers) and Muscle activation and electromyography studies (32 papers). The work is most often cited by research in Neurology (7.0k citations), Cognitive Neuroscience (4.7k citations) and Anesthesiology and Pain Medicine (773 citations). Abhishek Datta has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Marom Bikson, Lucas C. Parra, Davide Reato, Preet Minhas, Varun Bansal, Julián Díaz, Felipe Fregni, Asif Rahman, Jacek Dmochowski and Yu Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.