Biswa Sengupta

6.6k total citations · 1 hit paper
36 papers, 4.1k citations indexed

About

Biswa Sengupta is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Biswa Sengupta has authored 36 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Biswa Sengupta's work include Neural dynamics and brain function (15 papers), Neuroscience and Neural Engineering (7 papers) and Advanced Memory and Neural Computing (6 papers). Biswa Sengupta is often cited by papers focused on Neural dynamics and brain function (15 papers), Neuroscience and Neural Engineering (7 papers) and Advanced Memory and Neural Computing (6 papers). Biswa Sengupta collaborates with scholars based in United Kingdom, United States and Germany. Biswa Sengupta's co-authors include Anil A. Bharath, Antonia Creswell, Kai Arulkumaran, Vincent Dumoulin, Tom White, Karl Friston, Martin Stemmler, Simon B. Laughlin, Jeremy E. Niven and W.D. Penny and has published in prestigious journals such as NeuroImage, Proceedings of the IEEE and Communications of the ACM.

In The Last Decade

Biswa Sengupta

35 papers receiving 4.0k citations

Hit Papers

Generative Adversarial Networks: An Overview 2018 2026 2020 2023 2018 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Biswa Sengupta United Kingdom 23 991 983 879 475 398 36 4.1k
Nigel Goddard United Kingdom 20 818 0.8× 586 0.6× 1.0k 1.2× 551 1.2× 381 1.0× 58 3.4k
Eric D. Kolaczyk United States 34 1.1k 1.1× 788 0.8× 666 0.8× 173 0.4× 177 0.4× 115 4.8k
Malte J. Rasch United States 24 1.4k 1.4× 785 0.8× 1.4k 1.6× 519 1.1× 911 2.3× 60 4.2k
Nathan Intrator Israel 36 1.0k 1.0× 696 0.7× 1.2k 1.3× 321 0.7× 306 0.8× 135 4.5k
Shin Ishii Japan 36 2.1k 2.1× 1.3k 1.3× 1.3k 1.4× 330 0.7× 788 2.0× 234 6.3k
Daniel Yamins United States 21 1.1k 1.2× 1.2k 1.3× 2.6k 3.0× 393 0.8× 271 0.7× 63 4.7k
Helge Ritter Germany 41 2.1k 2.1× 2.0k 2.0× 2.5k 2.9× 443 0.9× 494 1.2× 356 6.9k
David Cox United States 37 1.8k 1.8× 2.6k 2.6× 2.6k 2.9× 818 1.7× 423 1.1× 91 9.4k
Alain Rakotomamonjy France 25 1.2k 1.2× 1.2k 1.2× 1.8k 2.1× 545 1.1× 703 1.8× 63 4.5k
Neil C. Rabinowitz United Kingdom 10 3.0k 3.0× 1.6k 1.6× 733 0.8× 314 0.7× 196 0.5× 14 4.6k

Countries citing papers authored by Biswa Sengupta

Since Specialization
Citations

This map shows the geographic impact of Biswa Sengupta'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 Biswa Sengupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biswa Sengupta more than expected).

Fields of papers citing papers by Biswa Sengupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Biswa Sengupta. 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 Biswa Sengupta. The network helps show where Biswa Sengupta may publish in the future.

Co-authorship network of co-authors of Biswa Sengupta

This figure shows the co-authorship network connecting the top 25 collaborators of Biswa Sengupta. A scholar is included among the top collaborators of Biswa Sengupta 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 Biswa Sengupta. Biswa Sengupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bellogín, Alejandro, et al.. (2024). The EU AI Act and the Wager on Trustworthy AI. Communications of the ACM. 67(12). 58–65. 5 indexed citations
2.
Costa, Lancelot Da, Thomas Parr, Biswa Sengupta, & Karl Friston. (2020). Natural selection finds natural gradient. arXiv (Cornell University). 4 indexed citations
3.
Creswell, Antonia, Tom White, Vincent Dumoulin, et al.. (2018). Generative Adversarial Networks: An Overview. IEEE Signal Processing Magazine. 35(1). 53–65. 2721 indexed citations breakdown →
4.
Creswell, Antonia, Anil A. Bharath, & Biswa Sengupta. (2017). Conditional Autoencoders with Adversarial Information Factorization. arXiv (Cornell University). 6 indexed citations
5.
Sengupta, Biswa, et al.. (2017). Sequence stacking using dual encoder Seq2Seq recurrent networks. arXiv (Cornell University).
6.
Sengupta, Biswa & Qian Yu. (2017). Pillar Networks for action recognition.. arXiv (Cornell University). 2 indexed citations
7.
Sengupta, Biswa, Arturo Tozzi, Gerald Cooray, Pamela K. Douglas, & Karl Friston. (2016). Towards a Neuronal Gauge Theory. PLoS Biology. 14(3). e1002400–e1002400. 76 indexed citations
8.
Cooray, Gerald, et al.. (2015). Characterising seizures in anti-NMDA-receptor encephalitis with dynamic causal modelling. NeuroImage. 118. 508–519. 33 indexed citations
9.
Cooray, Gerald, Biswa Sengupta, Pamela K. Douglas, & Karl Friston. (2015). Dynamic causal modelling of electrographic seizure activity using Bayesian belief updating. NeuroImage. 125. 1142–1154. 35 indexed citations
10.
Sengupta, Biswa, Karl Friston, & W.D. Penny. (2015). Gradient-free MCMC methods for dynamic causal modelling. NeuroImage. 112. 375–381. 32 indexed citations
11.
Friston, Karl, Biswa Sengupta, & Gennaro Auletta. (2014). Cognitive Dynamics: From Attractors to Active Inference. Proceedings of the IEEE. 102(4). 427–445. 60 indexed citations
12.
Sengupta, Biswa, Martin Stemmler, & Karl Friston. (2013). Information and Efficiency in the Nervous System—A Synthesis. PLoS Computational Biology. 9(7). e1003157–e1003157. 124 indexed citations
13.
Wu, Mingming, Na Ye, Biswa Sengupta, & Harold H. Zakon. (2013). A naturally occurring amino acid substitution in the voltage-dependent sodium channel selectivity filter affects channel gating. Journal of Comparative Physiology A. 199(10). 829–842. 5 indexed citations
14.
Sengupta, Biswa, Simon B. Laughlin, & Jeremy E. Niven. (2013). Balanced Excitatory and Inhibitory Synaptic Currents Promote Efficient Coding and Metabolic Efficiency. PLoS Computational Biology. 9(10). e1003263–e1003263. 65 indexed citations
15.
Stemmler, Martin, Biswa Sengupta, Simon B. Laughlin, & Jeremy E. Niven. (2011). Energetically Optimal Action Potentials. Neural Information Processing Systems. 24. 1566–1574. 8 indexed citations
16.
Sengupta, Biswa, Martin Stemmler, Simon B. Laughlin, & Jeremy E. Niven. (2010). Action Potential Energy Efficiency Varies Among Neuron Types in Vertebrates and Invertebrates. PLoS Computational Biology. 6(7). e1000840–e1000840. 185 indexed citations
17.
Sengupta, Biswa & David M. Halliday. (2005). Neuronal Dynamics of Dynamic Synapses. PubMed. 20. 3636–3639. 2 indexed citations
18.
Ramamurthy, G. & Biswa Sengupta. (2002). Delay analysis of a packet voice multiplexer. 1. 155–160. 2 indexed citations
19.
Ramamurthy, G. & Biswa Sengupta. (1996). An analysis of a variable bit rate multiplexer using loss priorities. Computer Networks and ISDN Systems. 28(3). 411–423. 6 indexed citations
20.
Takine, Tetsuya, Biswa Sengupta, & T. Hasegawa. (1994). An analysis of a discrete-time queue for broadband ISDN with priorities among traffic classes. IEEE Transactions on Communications. 42(2/3/4). 1837–1845. 60 indexed citations

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.

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