Bodhisattva Sen

128 total papers · 2.3k total citations
55 papers, 1.0k citations indexed

About

Bodhisattva Sen is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Bodhisattva Sen has authored 55 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Statistics and Probability, 12 papers in Artificial Intelligence and 8 papers in Computational Mechanics. Recurrent topics in Bodhisattva Sen's work include Statistical Methods and Inference (42 papers), Advanced Statistical Methods and Models (20 papers) and Statistical Methods and Bayesian Inference (13 papers). Bodhisattva Sen is often cited by papers focused on Statistical Methods and Inference (42 papers), Advanced Statistical Methods and Models (20 papers) and Statistical Methods and Bayesian Inference (13 papers). Bodhisattva Sen collaborates with scholars based in United States, United Kingdom and Netherlands. Bodhisattva Sen's co-authors include Adityanand Guntuboyina, Moulinath Banerjee, Michael Woodroofe, Mario Mateo, Sabyasachi Chatterjee, Edward W. Olszewski, Matthew G. Walker, Promit Ghosal, Kathryn V. Johnston and Ian W. McKeague and has published in prestigious journals such as Journal of the American Statistical Association, The Astrophysical Journal and IEEE Transactions on Information Theory.

In The Last Decade

Bodhisattva Sen

49 papers receiving 967 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Bodhisattva Sen	553	259	195	126	123	55	1.0k
Małgorzata Bogdan	297 0.5×	320 1.2×	125 0.6×	109 0.9×	43 0.3×	68	1.2k
Nicolai Bissantz	245 0.4×	570 2.2×	113 0.6×	101 0.8×	205 1.7×	56	1.2k
Gersende Fort	423 0.8×	20 0.1×	329 1.7×	76 0.6×	9 0.1×	61	1.0k
Earl Lawrence	39 0.1×	438 1.7×	125 0.6×	37 0.3×	59 0.5×	55	846
Harrison H. Zhou	632 1.1×	15 0.1×	361 1.9×	171 1.4×	6 0.0×	40	1.2k
Eric Cator	202 0.4×	149 0.6×	62 0.3×	21 0.2×	5 0.0×	44	815
David L. Farnsworth	437 0.8×	83 0.3×	124 0.6×	23 0.2×		50	1.1k
V. Yu. Korolev	349 0.6×	50 0.2×	241 1.2×	17 0.1×		167	1.2k
M. A. Wolfe	13 0.0×	265 1.0×	61 0.3×	61 0.5×	27 0.2×	61	806
Ludwig Baringhaus	614 1.1×	12 0.0×	197 1.0×	7 0.1×	4 0.0×	37	844

Countries citing papers authored by Bodhisattva Sen

Since Specialization

Citations

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

Fields of papers citing papers by Bodhisattva Sen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bodhisattva Sen

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

All Works

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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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