Vincent Conitzer

195 papers receiving 4.3k citations

Peers

Vincent Conitzer
Comparison fields: 5 of 118
  • Management Science and Operations Research 2.5k
  • Economics and Econometrics 2.2k
  • Safety Research 451
  • Marketing 491
  • Artificial Intelligence 1.5k
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Michael P. Wellman United States
Ariel D. Procaccia United States
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Xiaotie Deng China
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Citations per year

Countries citing papers authored by Vincent Conitzer

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Conitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006268
2 2007193
3 2002150
4 2012141
5 2017128
6 2006125
7 2010102
8 2008102
9 200688
10
Improved bounds for computing Kemeny rankings
200684
11
Preference functions that score rankings and maximum likelihood estimation
200984
12
Computing shapley values, manipulating value division schemes, and checking core membership in multi-issue domains
200483
13 201182
14 201181
15 200377
16 201776
17 200575
18
Complexity of unweighted coalitional manipulation under some common voting rules
200972
19 200272
20 200865

About Vincent Conitzer

Vincent Conitzer is a scholar working on Management Science and Operations Research, Economics and Econometrics, Artificial Intelligence, Marketing and Computer Networks and Communications, having authored 208 papers that have together received 4.5k indexed citations. Recurring topics across this work include Auction Theory and Applications (113 papers), Game Theory and Voting Systems (96 papers), Game Theory and Applications (58 papers), Consumer Market Behavior and Pricing (30 papers), Logic, Reasoning, and Knowledge (17 papers), Optimization and Search Problems (14 papers), Infrastructure Resilience and Vulnerability Analysis (13 papers) and Internet Traffic Analysis and Secure E-voting (13 papers). The work is most often cited by research in Management Science and Operations Research (2.5k citations), Economics and Econometrics (2.2k citations), Safety Research (451 citations), Marketing (491 citations) and Artificial Intelligence (1.5k citations). Vincent Conitzer has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Tüomas Sandholm, Lirong Xia, Jérôme Lang, Dmytro Korzhyk, Mingyu Guo, Ronald Parr, Liad Wagman, Rupert Freeman, Curtis R. Taylor and Milind Tambe. Their work appears in journals such as Artificial Intelligence, Autonomous Agents and Multi-Agent Systems, Games and Economic Behavior, Journal of Artificial Intelligence Research and Communications of the ACM.

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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