Biswa Sengupta
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 15
- Artificial Intelligence top 1%
- Gaussian Processes and Bayesian Inference 4
- Media Technology top 2%
- Signal Processing top 5%
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- Neuroscience and Neural Engineering 7
- Neuroscience and Neuropharmacology Research 3
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- Advanced Memory and Neural Computing 6
- Advanced Wireless Network Optimization 4
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- Advanced Queuing Theory Analysis 5
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- Wireless Communication Networks Research 4
- Co-authors
- Antonia CreswellAnil A. BharathVincent DumoulinKai ArulkumaranTom WhiteKarl FristonMartin StemmlerSimon B. Laughlin
- Journals
- NeuroImage (5 papers)PLoS Computational Biology (5 papers)IEEE Transactions on Communications (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Biswa Sengupta
35 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Computer Vision and Pattern Recognition 983
- Cognitive Neuroscience 879
- Artificial Intelligence 991
- Media Technology 223
- Signal Processing 252
Countries citing papers authored by Biswa Sengupta
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
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
The 25 scholars most cited alongside Biswa Sengupta, 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 | 5 | |
| 2 | Natural selection finds natural gradient | 2020 | 4 |
| 3 | Generative Adversarial Networks: An Overviewbreakdown → | 2018 | 2721 |
| 4 | 2018 | 33 | |
| 5 | Conditional Autoencoders with Adversarial Information Factorization | 2017 | 6 |
| 6 | Pillar Networks for action recognition. | 2017 | 2 |
| 7 | Sequence stacking using dual encoder Seq2Seq recurrent networks | 2017 | 0 |
| 8 | 2016 | 76 | |
| 9 | 2015 | 33 | |
| 10 | 2015 | 32 | |
| 11 | 2015 | 38 | |
| 12 | 2015 | 35 | |
| 13 | 2014 | 42 | |
| 14 | 2014 | 38 | |
| 15 | 2013 | 124 | |
| 16 | 2013 | 5 | |
| 17 | 2013 | 65 | |
| 18 | Energetically Optimal Action Potentials | 2011 | 8 |
| 19 | 2010 | 185 | |
| 20 | 2005 | 2 |
About Biswa Sengupta
Biswa Sengupta is a scholar working on Cognitive Neuroscience, Health Informatics and Management Information Systems, having authored 36 papers that have together received 4.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), Neuroscience and Neural Engineering (7 papers), Advanced Memory and Neural Computing (6 papers), Advanced Queuing Theory Analysis (5 papers), Gaussian Processes and Bayesian Inference (4 papers), Wireless Communication Networks Research (4 papers), Advanced Wireless Network Optimization (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (983 citations), Cognitive Neuroscience (879 citations) and Artificial Intelligence (991 citations). Biswa Sengupta has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Antonia Creswell, Anil A. Bharath, Vincent Dumoulin, Kai Arulkumaran, Tom White, Karl Friston, Martin Stemmler, Simon B. Laughlin, Jeremy E. Niven and W.D. Penny. Their work appears in journals such as NeuroImage, PLoS Computational Biology, IEEE Transactions on Communications, Proceedings of the IEEE and Communications of the ACM.
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.