Jérôme Lang

9.0k citations
126 papers · 2.9k · h-index 27

Impact in

Papers in

Jérôme Lang

117 papers receiving 2.7k citations

Peers

Jérôme Lang
Comparison fields: 5 of 86
  • Management Science and Operations Research 1.1k
  • Artificial Intelligence 1.9k
  • Computational Theory and Mathematics 668
  • Economics and Econometrics 1.0k
  • Signal Processing 336
Replace Michael A. Trick with:
Michael A. Trick United States
Lirong Xia United States
Edith Elkind United Kingdom
Bernhard von Stengel United Kingdom
Ulle Endriss Netherlands
Boi Faltings Switzerland
Ηλίας Κουτσουπιάς United States
Evangelos Markakis Greece
Sławomir Zadrożny Poland
Aviv Zohar Israel
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Citations per field
00.5×2.9×
Michael A. Trick · 1×
Citations per year

Countries citing papers authored by Jérôme Lang

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994296
2
ISSUES IN MULTI AGENT RESOURCE ALLOCATION
2005283
3 2007193
4 1991148
5 200185
6 200480
7 201578
8 200877
9 199477
10 200464
11 200959
12 201659
13
Winner determination in sequential majority voting
200754
14
Logical representation of preferences for group decision making
200050
15 200248
16 199148
17 199147
18 201239
19 199836
20 200335

About Jérôme Lang

Jérôme Lang is a scholar working on Artificial Intelligence, Economics and Econometrics, Management Science and Operations Research, Computer Networks and Communications and Computational Theory and Mathematics, having authored 126 papers that have together received 2.9k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (58 papers), Game Theory and Voting Systems (55 papers), Auction Theory and Applications (40 papers), Multi-Agent Systems and Negotiation (18 papers), Constraint Satisfaction and Optimization (17 papers), Bayesian Modeling and Causal Inference (16 papers), Semantic Web and Ontologies (16 papers) and Game Theory and Applications (13 papers). The work is most often cited by research in Management Science and Operations Research (1.1k citations), Artificial Intelligence (1.9k citations), Computational Theory and Mathematics (668 citations), Economics and Econometrics (1.0k citations) and Signal Processing (336 citations). Jérôme Lang has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Henri Prade, Didier Dubois, Vincent Conitzer, D. Dubois, Ulle Endriss, Lirong Xia, Tüomas Sandholm, Yann Chevaleyre, Pierre Marquis and Piotr Skowron. Their work appears in journals such as Artificial Intelligence, Journal of Artificial Intelligence Research, Autonomous Agents and Multi-Agent Systems, Synthese and Mathematical Social Sciences.

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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