Moulinath Banerjee

95 total papers · 898 total citations
38 papers, 423 citations indexed

About

Moulinath Banerjee is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Moulinath Banerjee has authored 38 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 9 papers in Statistics, Probability and Uncertainty. Recurrent topics in Moulinath Banerjee's work include Statistical Methods and Inference (30 papers), Statistical Methods and Bayesian Inference (19 papers) and Advanced Statistical Methods and Models (10 papers). Moulinath Banerjee is often cited by papers focused on Statistical Methods and Inference (30 papers), Statistical Methods and Bayesian Inference (19 papers) and Advanced Statistical Methods and Models (10 papers). Moulinath Banerjee collaborates with scholars based in United States, France and United Kingdom. Moulinath Banerjee's co-authors include Bodhisattva Sen, Jon A. Wellner, Michael Woodroofe, J. Alonso-García, Mario Mateo, M. Catelan, Kaspar von Braun, D. Minniti, Cécile Durot and George Michailidis and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Moulinath Banerjee

35 papers receiving 392 citations

Author Peers

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

Author						Papers	Cites
Moulinath Banerjee	301	96	69	37	37	38	423
Yaoyao Xu	49 0.2×	31 0.3×	73 1.1×	2 0.1×	25 0.7×	35	424
Charles Alcock	22 0.1×	107 1.1×	191 2.8×	64 1.7×	3 0.1×	30	368
Michel Émery	70 0.2×	50 0.5×	18 0.3×		11 0.3×	29	464
Pavel Čı́žek	183 0.6×	39 0.4×	17 0.2×		70 1.9×	51	484
Miklós Z. Rácz	14 0.0×	86 0.9×	76 1.1×	4 0.1×	10 0.3×	27	416
Frederic Utzet	105 0.3×	27 0.3×	5 0.1×	2 0.1×	24 0.6×	26	477
S. John	289 1.0×	135 1.4×	4 0.1×	1 0.0×	35 0.9×	20	427
William T. Shaw	52 0.2×	31 0.3×	54 0.8×		35 0.9×	40	484
Lorenzo Zambotti	99 0.3×	12 0.1×	14 0.2×	1 0.0×	15 0.4×	42	487
Olha Bodnar	155 0.5×	26 0.3×	12 0.2×	1 0.0×	194 5.2×	45	404

Countries citing papers authored by Moulinath Banerjee

Since Specialization

Citations

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

Fields of papers citing papers by Moulinath Banerjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moulinath Banerjee

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