Ushnish Sengupta

412 total citations
14 papers, 255 citations indexed

About

Ushnish Sengupta is a scholar working on Computational Mechanics, Environmental Engineering and Molecular Biology. According to data from OpenAlex, Ushnish Sengupta has authored 14 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 4 papers in Environmental Engineering and 3 papers in Molecular Biology. Recurrent topics in Ushnish Sengupta's work include Combustion and flame dynamics (7 papers), Wind and Air Flow Studies (3 papers) and Protein Structure and Dynamics (3 papers). Ushnish Sengupta is often cited by papers focused on Combustion and flame dynamics (7 papers), Wind and Air Flow Studies (3 papers) and Protein Structure and Dynamics (3 papers). Ushnish Sengupta collaborates with scholars based in United Kingdom, Germany and Sweden. Ushnish Sengupta's co-authors include Birgit Strodel, Matthew P. Juniper, Yubiao Sun, Martín Carballo‐Pacheco, Dušan Petrović, Shina Caroline Lynn Kamerlin, Adrian J. Mulholland, Marc W. van der Kamp, Yashraj Kulkarni and Qinghua Liao and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Ushnish Sengupta

13 papers receiving 252 citations

Peers

Ushnish Sengupta

SNP

Chih‐Yuan Tseng Canada

С. И. Фадеев Russia

Yuqi Wang China

Ganesh A. Viswanathan India

Alexander Slepoy United States

Xinfei Wang China

Iain Bethune United Kingdom

Hiroki Sakamoto Japan

L. Fournier Canada

Chih‐Yuan Tseng Canada

Ushnish Sengupta

133 ×1.2

6 ×0.1

11 ×0.2

32 ×0.7

SNP

19 ×0.7

Citations per year, relative to Ushnish Sengupta Ushnish Sengupta (= 1×) peers Chih‐Yuan Tseng

Countries citing papers authored by Ushnish Sengupta

Since Specialization

Citations

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

Fields of papers citing papers by Ushnish Sengupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ushnish Sengupta

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

All Works

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14 of 14 papers shown

Sengupta, Ushnish, et al.. (2023). Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling. 4779–4784. 11 indexed citations

Sun, Yubiao, Ushnish Sengupta, & Matthew P. Juniper. (2023). Physics-informed deep learning for simultaneous surrogate modeling and PDE-constrained optimization of an airfoil geometry. Computer Methods in Applied Mechanics and Engineering. 411. 116042–116042. 61 indexed citations

Sengupta, Ushnish & Matthew P. Juniper. (2022). Thermoacoustic stabilization of combustors with gradient-augmented Bayesian optimization and adjoint models. International Journal of Spray and Combustion Dynamics. 14(3-4). 266–272. 3 indexed citations

Sengupta, Ushnish, et al.. (2022). Forecasting thermoacoustic instabilities in liquid propellant rocket engines using multimodal Bayesian deep learning. International Journal of Spray and Combustion Dynamics. 14(3-4). 218–228. 6 indexed citations

Sengupta, Ushnish, Carl Edward Rasmussen, & Matthew P. Juniper. (2021). Bayesian Machine Learning for the Prognosis of Combustion Instabilities From Noise. Journal of Engineering for Gas Turbines and Power. 143(7). 9 indexed citations

McCartney, Margaret, Ushnish Sengupta, & Matthew P. Juniper. (2021). Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks. 1 indexed citations

Sengupta, Ushnish, et al.. (2021). Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks. Journal of Engineering for Gas Turbines and Power. 144(1). 4 indexed citations

Sengupta, Ushnish, Carl Edward Rasmussen, & Matthew P. Juniper. (2020). Bayesian Machine Learning for the Prognosis of Combustion Instabilities From Noise. Apollo (University of Cambridge). 4 indexed citations

Sengupta, Ushnish, et al.. (2020). Avoiding High-frequency Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Bayesian Deep Learning. Bulletin of the American Physical Society.

10.

Sengupta, Ushnish, et al.. (2020). Ensembling geophysical models with Bayesian Neural Networks. NERC Open Research Archive (Natural Environment Research Council). 33. 1205–1217. 2 indexed citations

11.

Sengupta, Ushnish, Martín Carballo‐Pacheco, & Birgit Strodel. (2019). Automated Markov state models for molecular dynamics simulations of aggregation and self-assembly. The Journal of Chemical Physics. 150(11). 115101–115101. 52 indexed citations

12.

Sengupta, Ushnish & Birgit Strodel. (2018). Markov models for the elucidation of allosteric regulation. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1749). 20170178–20170178. 25 indexed citations

13.

Liao, Qinghua, Yashraj Kulkarni, Ushnish Sengupta, et al.. (2018). Loop Motion in Triosephosphate Isomerase Is Not a Simple Open and Shut Case. Journal of the American Chemical Society. 140(46). 15889–15903. 65 indexed citations

14.

Sengupta, Ushnish. (2011). Volunteer Administration: Professional Practice. SHILAP Revista de lepidopterología. 2(2). 12 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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