Kanaka Rajan
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 17
- Functional Brain Connectivity Studies 6
- Memory and Neural Mechanisms 3
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- Photoreceptor and optogenetics research 3
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- stochastic dynamics and bifurcation 3
- Artificial Intelligence top 5%
- Neural Networks and Applications 9
- Neural Networks and Reservoir Computing 3
- Developmental Biology top 10%
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- Advanced Memory and Neural Computing 4
- Co-authors
- L. F. AbbottTim P. VogelsDavid W. TankChristopher D. HarveyHaim SompolinskyBrian DePasqualeCarlos D. BrodyLucas Pinto
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Kanaka Rajan
27 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 112
- Cognitive Neuroscience 1.2k
- Cellular and Molecular Neuroscience 515
- Statistical and Nonlinear Physics 246
- Artificial Intelligence 354
- Developmental Biology 21
Countries citing papers authored by Kanaka Rajan
This map shows the geographic impact of Kanaka Rajan'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 Kanaka Rajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanaka Rajan more than expected).
Fields of papers citing papers by Kanaka Rajan
This network shows the impact of papers produced by Kanaka Rajan. 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 Kanaka Rajan. The network helps show where Kanaka Rajan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kanaka Rajan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2023 | 13 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 35 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 35 | |
| 10 | 2019 | 144 | |
| 11 | 2019 | 29 | |
| 12 | 2019 | 158 | |
| 13 | 2018 | 73 | |
| 14 | 2016 | 213 | |
| 15 | 2013 | 18 | |
| 16 | 2012 | 21 | |
| 17 | Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics | 2010 | 7 |
| 18 | 2010 | 171 | |
| 19 | 2006 | 179 | |
| 20 | 2005 | 340 |
About Kanaka Rajan
Kanaka Rajan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biophysics, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), Neural Networks and Applications (9 papers), Functional Brain Connectivity Studies (6 papers), Advanced Memory and Neural Computing (4 papers), Photoreceptor and optogenetics research (3 papers), Neural Networks and Reservoir Computing (3 papers), stochastic dynamics and bifurcation (3 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Cellular and Molecular Neuroscience (515 citations) and Statistical and Nonlinear Physics (246 citations). Kanaka Rajan has collaborated with scholars based in United States, Israel and France. Frequent co-authors include L. F. Abbott, Tim P. Vogels, L. F. Abbott, David W. Tank, Christopher D. Harvey, Haim Sompolinsky, L. F. Abbott, Brian DePasquale, Carlos D. Brody and Lucas Pinto. Their work appears in journals such as Neuron, eLife, PLoS ONE, Scientific Reports and Current Opinion in Behavioral Sciences.
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.