Mohua Banerjee

122 total papers · 1.8k total citations
49 papers, 783 citations indexed

About

Mohua Banerjee is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Mohua Banerjee has authored 49 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Theory and Mathematics, 19 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in Mohua Banerjee's work include Rough Sets and Fuzzy Logic (28 papers), Advanced Algebra and Logic (13 papers) and Logic, Reasoning, and Knowledge (11 papers). Mohua Banerjee is often cited by papers focused on Rough Sets and Fuzzy Logic (28 papers), Advanced Algebra and Logic (13 papers) and Logic, Reasoning, and Knowledge (11 papers). Mohua Banerjee collaborates with scholars based in India, United States and France. Mohua Banerjee's co-authors include Sankar K. Pal, Sushmita Mitra, Mihir K. Chakraborty, Haider Banka, Manit Mishra, Didier Dubois, Twisha Lahiri, Malay K. Kundu, Sayali Mukherjee and Shabana Siddique and has published in prestigious journals such as Geochimica et Cosmochimica Acta, Cellular and Molecular Life Sciences and Information Sciences.

In The Last Decade

Mohua Banerjee

44 papers receiving 718 citations

Author Peers

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

Author Last Decade Papers Cites
Mohua Banerjee 440 307 173 123 84 49 783
José Palma 60 0.1× 274 0.9× 104 0.6× 51 0.4× 113 1.3× 58 646
Silvia Chiusano 132 0.3× 262 0.9× 237 1.4× 35 0.3× 45 0.5× 89 873
M. Dolores Ruiz 182 0.4× 274 0.9× 233 1.3× 52 0.4× 36 0.4× 45 721
José Torres-Jiménez 102 0.2× 133 0.4× 107 0.6× 51 0.4× 26 0.3× 64 681
José F. Aldana‐Montes 127 0.3× 361 1.2× 155 0.9× 72 0.6× 36 0.4× 96 769
Guido Sciavicco 276 0.6× 627 2.0× 54 0.3× 37 0.3× 32 0.4× 90 880
Iffat A. Gheyas 85 0.2× 364 1.2× 151 0.9× 64 0.5× 161 1.9× 12 748
Marek Sikora 120 0.3× 279 0.9× 135 0.8× 36 0.3× 31 0.4× 79 677
Kevin S. Tickle 74 0.2× 387 1.3× 176 1.0× 32 0.3× 48 0.6× 35 871
C. J. Carmona 111 0.3× 650 2.1× 385 2.2× 60 0.5× 55 0.7× 46 910

Countries citing papers authored by Mohua Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Mohua Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohua Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Mohua Banerjee. A scholar is included among the top collaborators of Mohua 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 Mohua Banerjee. Mohua 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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2026