Arvind Kumar
Impact in
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Functional Brain Connectivity Studies
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
Papers in
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- Neural dynamics and brain function 46
- Memory and Neural Mechanisms 6
- Visual perception and processing mechanisms 2
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- Neuroscience and Neuropharmacology Research 8
- Neurotransmitter Receptor Influence on Behavior 6
- Co-authors
- Ad Aertsen (34 shared papers)Stefan Rotter (7 shared papers)Gustavo Deco (3 shared papers)Sven Schrader (1 shared paper)Adrián Ponce‐Alvarez (2 shared papers)Jens Kremkow (3 shared papers)Ioannis Vlachos (7 shared papers)Stefano Cardanobile (1 shared paper)
In The Last Decade
Arvind Kumar
68 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 110
- Cognitive Neuroscience 1.4k
- Cellular and Molecular Neuroscience 282
- Neurology 237
- Statistical and Nonlinear Physics 125
- Sensory Systems 56
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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 358 | |
| 2 | 2007 | 152 | |
| 3 | 2008 | 149 | |
| 4 | 2018 | 130 | |
| 5 | 2011 | 108 | |
| 6 | 2010 | 92 | |
| 7 | 2016 | 83 | |
| 8 | 2017 | 79 | |
| 9 | 2014 | 70 | |
| 10 | 2015 | 45 | |
| 11 | 2017 | 43 | |
| 12 | 2011 | 41 | |
| 13 | 2011 | 41 | |
| 14 | 2021 | 40 | |
| 15 | 2014 | 37 | |
| 16 | 2020 | 37 | |
| 17 | 2015 | 34 | |
| 18 | 2013 | 33 | |
| 19 | 2012 | 29 | |
| 20 | 2020 | 29 |
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 73 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (46 papers), Neurological disorders and treatments (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Memory and Neural Mechanisms (6 papers), Epilepsy research and treatment (2 papers), Epigenetics and DNA Methylation (2 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Cellular and Molecular Neuroscience (282 citations), Neurology (237 citations), Statistical and Nonlinear Physics (125 citations) and Sensory Systems (56 citations). Arvind Kumar has collaborated with scholars based in Germany, Sweden and France. Frequent co-authors include Ad Aertsen, Stefan Rotter, Gustavo Deco, Sven Schrader, Adrián Ponce‐Alvarez, Jens Kremkow, Ioannis Vlachos, Stefano Cardanobile, Yves Frégnac and Mayank R. Mehta. 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.