Jay Sethuraman

2.4k citations
76 papers · 1.4k · h-index 21

Impact in

Papers in

Jay Sethuraman

74 papers receiving 1.3k citations

Peers

Jay Sethuraman
Comparison fields: 5 of 80
  • Management Science and Operations Research 521
  • Economics and Econometrics 550
  • General Decision Sciences 36
  • Management Information Systems 170
  • Industrial and Manufacturing Engineering 184
Replace Evangelos Markakis with:
Evangelos Markakis Greece
Moshe Haviv Israel
Andrew Hiang He Lim United States
Koos Vrieze Netherlands
Julio B. Clempner Mexico
José Correa Chile
Moshe Babaioff United States
John W. Mamer United States
Ioannis Caragiannis Greece
Paat Rusmevichientong United States
Jay Sethuraman relative to Evangelos Markakis Greece Evangelos Markakis's profile →
Citations per field
00.5×2×2.7×
Evangelos Markakis · 1×
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 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002117
2 2005114
3 199895
4 200071
5 202267
6 200663
7 200542
8 199942
9 200541
10 200241
11 200737
12 200336
13 201132
14 200130
15 201230
16 202323
17 200123
18 201323
19 201222
20 201321

About Jay Sethuraman

Jay Sethuraman is a scholar working on Management Science and Operations Research, Economics and Econometrics, Computer Networks and Communications, Management Information Systems and Industrial and Manufacturing Engineering, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Game Theory and Voting Systems (36 papers), Auction Theory and Applications (30 papers), Optimization and Search Problems (18 papers), Complexity and Algorithms in Graphs (12 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 (521 citations), Economics and Econometrics (550 citations), General Decision Sciences (36 citations), Management Information Systems (170 citations) and Industrial and Manufacturing Engineering (184 citations). Jay Sethuraman has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Chung‐Piaw Teo, Mark S. Squillante, Dimitris Bertsimas, Daniela Sabán, Clifford Stein, Fei Li, Garud Iyengar, Philip S. Yu, Joel L. Wolf and Lisa Fleischer. 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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