Jay Sethuraman

2.3k citations
79 papers · 1.1k · h-index 19

Impact in

Papers in

Jay Sethuraman

76 papers receiving 1.1k citations

Peers

Jay Sethuraman
Comparison fields: 5 of 73
  • Management Science and Operations Research 449
  • Economics and Econometrics 513
  • Management Information Systems 145
  • General Decision Sciences 30
  • Industrial and Manufacturing Engineering 149
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Ulle Endriss Netherlands
Evangelos Markakis Greece
Peter Borm Netherlands
Jérôme Lang France
Liad Blumrosen Israel
Michal Feldman Israel
José Correa Chile
Nisarg Shah United States
Ciamac C. Moallemi United States
Andrew E. B. Lim United States
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Citations per field
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Citations per year

Countries citing papers authored by Jay Sethuraman

Since Specialization
Citations

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

Fields of papers citing papers by Jay Sethuraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jay Sethuraman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay Sethuraman Line = papers co-authored together Jay Sethuraman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005108
2 2002105
3 199880
4 200663
5 202260
6 200538
7 200237
8 201134
9 199934
10 200333
11 200531
12 200728
13 201224
14 201224
15 201324
16 200123
17 202321
18 201320
19 201318
20 200118

About Jay Sethuraman

Jay Sethuraman is a scholar working on Economics and Econometrics, Management Science and Operations Research, Computer Networks and Communications, Management Information Systems and Industrial and Manufacturing Engineering, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Game Theory and Voting Systems (34 papers), Auction Theory and Applications (32 papers), Optimization and Search Problems (17 papers), Complexity and Algorithms in Graphs (10 papers), Game Theory and Applications (9 papers), Economic theories and models (8 papers), Scheduling and Optimization Algorithms (8 papers) and Advanced Queuing Theory Analysis (7 papers). The work is most often cited by research in Management Science and Operations Research (449 citations), Economics and Econometrics (513 citations), Management Information Systems (145 citations), General Decision Sciences (30 citations) and Industrial and Manufacturing Engineering (149 citations). Jay Sethuraman has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Chung‐Piaw Teo, Mark S. Squillante, Daniela Sabán, Dimitris Bertsimas, Garud Iyengar, Joel L. Wolf, Philip S. Yu, Lisa Fleischer, Fahad Saleh and Clifford Stein. Their work appears in journals such as Mathematics of Operations Research, Management Science, Operations Research, Operations Research Letters and Journal of Economic Theory.

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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