Moshe Babaioff

3.6k citations
81 papers · 2.1k · h-index 25

Impact in

Papers in

Moshe Babaioff

79 papers receiving 2.0k citations

Peers

Moshe Babaioff
Comparison fields: 5 of 75
  • Management Science and Operations Research 1.6k
  • Marketing 599
  • Computer Networks and Communications 814
  • Management Information Systems 267
  • Computer Science Applications 128
Replace Amir Ronen with:
Amir Ronen Israel
Shahar Dobzinski Israel
Aranyak Mehta United States
Michal Feldman Israel
Brendan Lucier United States
Aleksandar Pekeč United States
Gagan Aggarwal United States
Sven de Vries Germany
S. Matthew Weinberg United States
Amy Greenwald United States
Moshe Babaioff relative to Amir Ronen Israel Amir Ronen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Moshe Babaioff

Since Specialization
Citations

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

Fields of papers citing papers by Moshe Babaioff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Moshe Babaioff, 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 Moshe Babaioff Line = papers co-authored together Moshe Babaioff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012155
2 2007131
3 2007117
4 2008105
5 200396
6 200487
7 200971
8 200461
9 201260
10 200156
11 200951
12 200749
13 201047
14 201245
15 200645
16 200939
17 201338
18 200936
19
Mechanism design for single-value domains
200535
20 202133

About Moshe Babaioff

Moshe Babaioff is a scholar working on Management Science and Operations Research, Economics and Econometrics, Marketing, Computer Networks and Communications and Management Information Systems, having authored 81 papers that have together received 2.1k indexed citations. Recurring topics across this work include Auction Theory and Applications (68 papers), Consumer Market Behavior and Pricing (29 papers), Game Theory and Applications (28 papers), Optimization and Search Problems (20 papers), Economic theories and models (19 papers), Game Theory and Voting Systems (19 papers), Advanced Bandit Algorithms Research (9 papers) and Experimental Behavioral Economics Studies (8 papers). The work is most often cited by research in Management Science and Operations Research (1.6k citations), Marketing (599 citations), Computer Networks and Communications (814 citations), Management Information Systems (267 citations) and Computer Science Applications (128 citations). Moshe Babaioff has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Robert Kleinberg, Nicole Immorlica, Noam Nisan, William E. Walsh, Aleksandrs Slivkins, David Kempe, Elan Pavlov, Sigal Oren, Shahar Dobzinski and Aviv Zohar. Their work appears in journals such as Games and Economic Behavior, Journal of the ACM, Decision Support Systems, Mathematics of Operations Research and Journal of Artificial Intelligence Research.

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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