Anirvan M. Sengupta
- Condensed Matter Physics top 5%
- Acoustics and Ultrasonics top 5%
- Modeling and Simulation top 2%
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- Electric Motor Design and Analysis 37
- Advanced DC-DC Converters 28
- Silicon Carbide Semiconductor Technologies 26
- Multilevel Inverters and Converters 19
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- Magnetic Bearings and Levitation Dynamics 30
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- Induction Heating and Inverter Technology 23
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- Genomics and Chromatin Dynamics 17
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- Magnetic Properties and Applications 15
- Co-authors
- Antoine GeorgesSteven H. SimonAris L. MoustakasGautam MandalMartin A. NowakBoris I. ShraimanNatalia L. KomarovaMarko Djordjević
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (4 papers)Physical Review Letters (4 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Anirvan M. Sengupta
189 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 149
- Condensed Matter Physics 449
- Nuclear and High Energy Physics 481
- Acoustics and Ultrasonics 31
- Statistical and Nonlinear Physics 361
- Modeling and Simulation 106
Countries citing papers authored by Anirvan M. Sengupta
This map shows the geographic impact of Anirvan M. 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 Anirvan M. Sengupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anirvan M. Sengupta more than expected).
Fields of papers citing papers by Anirvan M. Sengupta
This network shows the impact of papers produced by Anirvan M. 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 Anirvan M. Sengupta. The network helps show where Anirvan M. Sengupta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anirvan M. 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 | 2025 | 1 | |
| 2 | 2023 | 19 | |
| 3 | 2022 | 1 | |
| 4 | A simple normative network approximates local non-Hebbian learning in the cortex | 2020 | 1 |
| 5 | A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit | 2019 | 3 |
| 6 | 2019 | 2 | |
| 7 | Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling | 2018 | 2 |
| 8 | 2015 | 1 | |
| 9 | 2014 | 16 | |
| 10 | 2014 | 0 | |
| 11 | 2014 | 3 | |
| 12 | 2014 | 1 | |
| 13 | 2011 | 73 | |
| 14 | 2009 | 32 | |
| 15 | 2009 | 63 | |
| 16 | 2008 | 15 | |
| 17 | 2005 | 14 | |
| 18 | 2004 | 10 | |
| 19 | 2003 | 160 | |
| 20 | A new approach to relief valve load calculations. | 1978 | 3 |
About Anirvan M. Sengupta
Anirvan M. Sengupta is a scholar working on Filtration and Separation, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 204 papers that have together received 3.8k indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (37 papers), Magnetic Bearings and Levitation Dynamics (30 papers), Advanced DC-DC Converters (28 papers), Silicon Carbide Semiconductor Technologies (26 papers), Induction Heating and Inverter Technology (23 papers), Multilevel Inverters and Converters (19 papers), Genomics and Chromatin Dynamics (17 papers) and Magnetic Properties and Applications (15 papers). The work is most often cited by research in Condensed Matter Physics (449 citations), Nuclear and High Energy Physics (481 citations) and Acoustics and Ultrasonics (31 citations). Anirvan M. Sengupta has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Antoine Georges, Steven H. Simon, Aris L. Moustakas, Gautam Mandal, Martin A. Nowak, Boris I. Shraiman, Natalia L. Komarova, Marko Djordjević, Prasad V. Jallepalli and Christoph Lengauer. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.