Mallesh M. Pai

72 total papers · 1.3k total citations
30 papers, 646 citations indexed

About

Mallesh M. Pai is a scholar working on Management Science and Operations Research, Economics and Econometrics and Safety Research. According to data from OpenAlex, Mallesh M. Pai has authored 30 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Management Science and Operations Research, 11 papers in Economics and Econometrics and 8 papers in Safety Research. Recurrent topics in Mallesh M. Pai's work include Auction Theory and Applications (20 papers), Experimental Behavioral Economics Studies (8 papers) and Consumer Market Behavior and Pricing (7 papers). Mallesh M. Pai is often cited by papers focused on Auction Theory and Applications (20 papers), Experimental Behavioral Economics Studies (8 papers) and Consumer Market Behavior and Pricing (7 papers). Mallesh M. Pai collaborates with scholars based in United States, Canada and Spain. Mallesh M. Pai's co-authors include Rakesh Vohra, Aaron Roth, Prashant Bharadwaj, Agne Suziedelyte, Karsten T. Hansen, Kanishka Misra, Jonathan Ullman, Michael Kearns, Rahul Deb and Manuel Mueller-Frank and has published in prestigious journals such as American Economic Review, The Quarterly Journal of Economics and Marketing Science.

In The Last Decade

Mallesh M. Pai

29 papers receiving 619 citations

Author Peers

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

Author Last Decade Papers Cites
Mallesh M. Pai 298 172 140 117 110 30 646
Akhmed Umyarov 107 0.4× 274 1.6× 67 0.5× 47 0.4× 408 3.7× 21 763
Kwok‐fai Ting 70 0.2× 66 0.4× 67 0.5× 48 0.4× 207 1.9× 18 693
Michéle Cohen 204 0.7× 33 0.2× 349 2.5× 85 0.7× 83 0.8× 18 740
Sian Joel-Edgar 73 0.2× 58 0.3× 57 0.4× 175 1.5× 92 0.8× 14 719
Paul W. Paese 143 0.5× 33 0.2× 94 0.7× 49 0.4× 202 1.8× 25 730
Verena Dorner 77 0.3× 140 0.8× 72 0.5× 115 1.0× 188 1.7× 31 597
Gabriel Carroll 227 0.8× 88 0.5× 465 3.3× 19 0.2× 38 0.3× 14 742
Shenghua Luan 103 0.3× 22 0.1× 74 0.5× 95 0.8× 137 1.2× 33 603
Eduardo M. Azevedo 225 0.8× 93 0.5× 336 2.4× 19 0.2× 68 0.6× 33 609
Elena Reutskaja 50 0.2× 220 1.3× 220 1.6× 22 0.2× 132 1.2× 16 767

Countries citing papers authored by Mallesh M. Pai

Since Specialization
Citations

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

Fields of papers citing papers by Mallesh M. Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mallesh M. Pai. 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 Mallesh M. Pai. The network helps show where Mallesh M. Pai may publish in the future.

Co-authorship network of co-authors of Mallesh M. Pai

This figure shows the co-authorship network connecting the top 25 collaborators of Mallesh M. Pai. A scholar is included among the top collaborators of Mallesh M. Pai 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 Mallesh M. Pai. Mallesh M. Pai 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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