Arvind Kumar
Impact in
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 50
- Functional Brain Connectivity Studies 15
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- Neuroscience and Neuropharmacology Research 24
- Neuroscience and Neural Engineering 19
- Photoreceptor and optogenetics research 13
- Co-authors
- Ad Aertsen (34 shared papers)Stefan Rotter (7 shared papers)Gerald J. Hahn (5 shared papers)Sven Schrader (1 shared paper)Gustavo Deco (3 shared papers)Adrián Ponce‐Alvarez (2 shared papers)Jens Kremkow (3 shared papers)Ioannis Vlachos (7 shared papers)
In The Last Decade
Arvind Kumar
74 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 136
- Cognitive Neuroscience 1.5k
- Cellular and Molecular Neuroscience 1.1k
- Statistical and Nonlinear Physics 305
- Neurology 243
- Sensory Systems 79
Countries citing papers authored by Arvind Kumar
This map shows the geographic impact of Arvind Kumar'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 Arvind Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Kumar more than expected).
Fields of papers citing papers by Arvind Kumar
This network shows the impact of papers produced by Arvind Kumar. 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 Arvind Kumar. The network helps show where Arvind Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 346 | |
| 2 | 2007 | 150 | |
| 3 | 2008 | 144 | |
| 4 | 2018 | 125 | |
| 5 | 2011 | 103 | |
| 6 | 2010 | 91 | |
| 7 | 2016 | 83 | |
| 8 | 2017 | 79 | |
| 9 | 2014 | 67 | |
| 10 | 2015 | 45 | |
| 11 | 2011 | 41 | |
| 12 | 2011 | 40 | |
| 13 | 2021 | 40 | |
| 14 | 2017 | 40 | |
| 15 | 2014 | 36 | |
| 16 | 2020 | 36 | |
| 17 | 2015 | 32 | |
| 18 | 2013 | 31 | |
| 19 | 2012 | 29 | |
| 20 | 2020 | 26 |
About Arvind Kumar
Arvind Kumar is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Neurology and Statistical and Nonlinear Physics, having authored 81 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (50 papers), Neuroscience and Neuropharmacology Research (24 papers), Neuroscience and Neural Engineering (19 papers), Neurological disorders and treatments (17 papers), Functional Brain Connectivity Studies (15 papers), Photoreceptor and optogenetics research (13 papers), Advanced Memory and Neural Computing (12 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Cellular and Molecular Neuroscience (1.1k citations), Statistical and Nonlinear Physics (305 citations), Neurology (243 citations) and Sensory Systems (79 citations). Arvind Kumar has collaborated with scholars based in Germany, Sweden and France. Frequent co-authors include Ad Aertsen, Stefan Rotter, Gerald J. Hahn, Sven Schrader, Gustavo Deco, Adrián Ponce‐Alvarez, Jens Kremkow, Ioannis Vlachos, Stefano Cardanobile and Yves Frégnac. Their work appears in journals such as PLoS Computational Biology, Journal of Neuroscience, BMC Neuroscience, eLife and eNeuro.
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.