Anirvan M. Sengupta

5.8k total citations
204 papers, 3.8k citations indexed

About

Anirvan M. Sengupta is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Molecular Biology. According to data from OpenAlex, Anirvan M. Sengupta has authored 204 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Electrical and Electronic Engineering, 38 papers in Control and Systems Engineering and 32 papers in Molecular Biology. Recurrent topics in Anirvan M. Sengupta's work include Electric Motor Design and Analysis (37 papers), Magnetic Bearings and Levitation Dynamics (30 papers) and Advanced DC-DC Converters (28 papers). Anirvan M. Sengupta is often cited by papers focused on Electric Motor Design and Analysis (37 papers), Magnetic Bearings and Levitation Dynamics (30 papers) and Advanced DC-DC Converters (28 papers). Anirvan M. Sengupta collaborates with scholars based in India, United States and Germany. Anirvan M. Sengupta's 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 and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Anirvan M. Sengupta

189 papers receiving 3.7k citations

Peers

Anirvan M. Sengupta
Ralph Roskies United States
Andrew Grimshaw United States
Frank Lee United States
Gregory D. Peterson United States
Brian Granger United States
M. Reuter Germany
Jordan M. Horowitz United States
S. Müller Germany
Anirvan M. Sengupta
Citations per year, relative to Anirvan M. Sengupta Anirvan M. Sengupta (= 1×) peers Róbert Brunner

Countries citing papers authored by Anirvan M. Sengupta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Anirvan M. Sengupta

This figure shows the co-authorship network connecting the top 25 collaborators of Anirvan M. Sengupta. A scholar is included among the top collaborators of Anirvan M. 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 Anirvan M. Sengupta. Anirvan M. 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.
Sengupta, Anirvan M., et al.. (2025). Harmonics estimation of power signals in presence of non-Gaussian and non-stationary noise. International Journal of Control. 98(10). 2516–2527. 1 indexed citations
2.
Qin, Shanshan, et al.. (2023). Coordinated drift of receptive fields in Hebbian/anti-Hebbian network models during noisy representation learning. Nature Neuroscience. 26(2). 339–349. 19 indexed citations
3.
Teşileanu, Tiberiu, et al.. (2022). Neural Circuits for Dynamics-Based Segmentation of Time Series. Neural Computation. 34(4). 891–938. 1 indexed citations
4.
Golkar, Siavash, et al.. (2020). A simple normative network approximates local non-Hebbian learning in the cortex. Neural Information Processing Systems. 33. 7283–7295. 1 indexed citations
5.
Chklovskii, Dmitri B., et al.. (2019). A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit. Neural Information Processing Systems. 32. 14178–14189. 3 indexed citations
6.
Sengupta, Anirvan M., et al.. (2019). Real Time Simulation of a Switched Reluctance Motor on a Miniature Full Spectrum Simulator. 1–6. 2 indexed citations
7.
Tepper, Mariano, Anirvan M. Sengupta, & Dmitri B. Chklovskii. (2018). Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling. Journal of Machine Learning Research. 19(82). 1–30. 2 indexed citations
8.
Zepeda‐Mendoza, Cinthya, Swagatam Mukhopadhyay, Emily Wong, et al.. (2015). Quantitative analysis of chromatin interaction changes upon a 4.3 Mb deletion at mouse 4E2. BMC Genomics. 16(1). 982–982. 1 indexed citations
9.
Sengupta, Anirvan M., et al.. (2014). Vibration Monitoring of Rotating Machines Using MEMS Accelerometer. International Journal of Scientific Engineering and Research. 2(9). 5–11. 16 indexed citations
11.
Sengupta, Anirvan M.. (2014). Tesla: Inventor of the Electrical Age. Current Science. 106(8). 1142–1143. 3 indexed citations
12.
Sengupta, Anirvan M., et al.. (2014). Design, modelling, fabrication and control of an attraction type lévitation prototype. e (29). 1–5. 1 indexed citations
13.
Mead, Janet E., et al.. (2011). Regulated Antisense Transcription Controls Expression of Cell-Type-Specific Genes in Yeast. Molecular and Cellular Biology. 31(8). 1701–1709. 73 indexed citations
14.
Mukhopadhyay, Swagatam, et al.. (2009). Inheritance of epigenetic chromatin silencing. Journal of Theoretical Biology. 258(1). 112–120. 32 indexed citations
15.
Chaves, Madalena, et al.. (2009). Shape, Size, and Robustness: Feasible Regions in the Parameter Space of Biochemical Networks. PLoS Computational Biology. 5(1). e1000256–e1000256. 63 indexed citations
16.
Gupta, Nupur, Jeffrey J. Delrow, Amar Drawid, et al.. (2008). Repression of B-Cell Linker (BLNK) and B-Cell Adaptor for Phosphoinositide 3-Kinase (BCAP) Is Important for Lymphocyte Transformation by Rel Proteins. Cancer Research. 68(3). 808–814. 15 indexed citations
17.
Ramanathan, Sharad, Peter B. Detwiler, Anirvan M. Sengupta, & Boris I. Shraiman. (2005). G-Protein-Coupled Enzyme Cascades Have Intrinsic Properties that Improve Signal Localization and Fidelity. Biophysical Journal. 88(5). 3063–3071. 14 indexed citations
18.
Mathias, Jonathan R., et al.. (2004). Combined analysis of expression data and transcription factor binding sites in the yeast genome. BMC Genomics. 5(1). 59–59. 10 indexed citations
19.
Djordjević, Marko, Anirvan M. Sengupta, & Boris I. Shraiman. (2003). A Biophysical Approach to Transcription Factor Binding Site Discovery. Genome Research. 13(11). 2381–2390. 160 indexed citations
20.
Sengupta, Anirvan M., et al.. (1978). A new approach to relief valve load calculations.. Hydrocarbon processing. 57(5). 160–162. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026