Bikramjit Banerjee

76 total papers · 963 total citations
44 papers, 495 citations indexed

About

Bikramjit Banerjee is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Bikramjit Banerjee has authored 44 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 17 papers in Management Science and Operations Research and 8 papers in Computational Theory and Mathematics. Recurrent topics in Bikramjit Banerjee's work include Reinforcement Learning in Robotics (26 papers), Advanced Bandit Algorithms Research (9 papers) and Game Theory and Applications (7 papers). Bikramjit Banerjee is often cited by papers focused on Reinforcement Learning in Robotics (26 papers), Advanced Bandit Algorithms Research (9 papers) and Game Theory and Applications (7 papers). Bikramjit Banerjee collaborates with scholars based in United States, South Korea and Canada. Bikramjit Banerjee's co-authors include Landon Kraemer, Jing Peng, Peter Stone, Jing Peng, Sandip Sen, Prashant Doshi, Saurabh Arora, Keyang He, Tsz-Chiu Au and Prithviraj Dasgupta and has published in prestigious journals such as Neurocomputing, IEEE Intelligent Systems and The Knowledge Engineering Review.

In The Last Decade

Bikramjit Banerjee

41 papers receiving 463 citations

Author Peers

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

Author						Papers	Cites
Bikramjit Banerjee	366	101	95	81	66	44	495
Alessandro Lazaric	319 0.9×	102 1.0×	45 0.5×	75 0.9×	85 1.3×	38	427
Akshat Kumar	219 0.6×	97 1.0×	138 1.5×	39 0.5×	77 1.2×	72	524
Enrique Muñoz de Cote	200 0.5×	170 1.7×	112 1.2×	31 0.4×	39 0.6×	39	439
Yujing Hu	278 0.8×	71 0.7×	89 0.9×	49 0.6×	58 0.9×	28	491
Olivier Buffet	323 0.9×	68 0.7×	152 1.6×	64 0.8×	59 0.9×	54	533
Weiyi Liu	273 0.7×	64 0.6×	110 1.2×	61 0.8×	36 0.5×	66	549
Patrick Mannion	191 0.5×	69 0.7×	62 0.7×	98 1.2×	84 1.3×	34	497
Bilian Chen	165 0.5×	71 0.7×	49 0.5×	47 0.6×	15 0.2×	43	500
Lina Ni	247 0.7×	74 0.7×	107 1.1×	13 0.2×	46 0.7×	42	513
Branislav Bošanský	189 0.5×	106 1.0×	184 1.9×	17 0.2×	72 1.1×	47	484

Countries citing papers authored by Bikramjit Banerjee

Since Specialization

Citations

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

Fields of papers citing papers by Bikramjit Banerjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bikramjit Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Bikramjit Banerjee. A scholar is included among the top collaborators of Bikramjit Banerjee 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 Bikramjit Banerjee. Bikramjit Banerjee 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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