Amitabha Bose
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
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- stochastic dynamics and bifurcation
Papers in
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- Neural dynamics and brain function 41
- Memory and Neural Mechanisms 5
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- stochastic dynamics and bifurcation 23
- Co-authors
- Nancy KopellDavid TermanFarzan NadimVictoria BoothCasey O. DiekmanF. AlbuyehYair ManorMichael Recce
- Journals
- Neurocomputing (9 papers)Network Computation in Neural Systems (6 papers)Physica D Nonlinear Phenomena (5 papers)SIAM Journal on Applied Dynamical Systems (4 papers)Journal of Computational Neuroscience (4 papers)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Amitabha Bose
63 papers receiving 955 citations
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 633
- Statistical and Nonlinear Physics 331
- Cellular and Molecular Neuroscience 391
- Endocrine and Autonomic Systems 126
- Computer Networks and Communications 286
Countries citing papers authored by Amitabha Bose
This map shows the geographic impact of Amitabha Bose'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 Amitabha Bose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amitabha Bose more than expected).
Fields of papers citing papers by Amitabha Bose
This network shows the impact of papers produced by Amitabha Bose. 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 Amitabha Bose. The network helps show where Amitabha Bose may publish in the future.
Co-authors
The 25 scholars most cited alongside Amitabha Bose, 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 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 27 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 6 | |
| 9 | 2019 | 15 | |
| 10 | 2017 | 14 | |
| 11 | 2017 | 44 | |
| 12 | 2014 | 8 | |
| 13 | 2012 | 45 | |
| 14 | 2011 | 21 | |
| 15 | 2008 | 5 | |
| 16 | 2007 | 16 | |
| 17 | 2006 | 8 | |
| 18 | 2004 | 21 | |
| 19 | 2003 | 36 | |
| 20 | 2000 | 55 |
About Amitabha Bose
Amitabha Bose is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Computer Networks and Communications, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (41 papers), stochastic dynamics and bifurcation (23 papers), Nonlinear Dynamics and Pattern Formation (17 papers), Photoreceptor and optogenetics research (17 papers), Neuroscience and Neuropharmacology Research (12 papers), Neurobiology and Insect Physiology Research (8 papers), Circadian rhythm and melatonin (7 papers) and Memory and Neural Mechanisms (5 papers). The work is most often cited by research in Cognitive Neuroscience (633 citations), Statistical and Nonlinear Physics (331 citations), Cellular and Molecular Neuroscience (391 citations), Endocrine and Autonomic Systems (126 citations) and Computer Networks and Communications (286 citations). Amitabha Bose has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Nancy Kopell, David Terman, Farzan Nadim, Victoria Booth, Casey O. Diekman, F. Albuyeh, Yair Manor, Michael Recce, Birendra Nath Mallick and Christopher K. R. T. Jones. Their work appears in journals such as Neurocomputing, Network Computation in Neural Systems, Physica D Nonlinear Phenomena, SIAM Journal on Applied Dynamical Systems and Journal of Computational Neuroscience.
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.