Jérôme Lang

9.3k total citations
125 papers, 2.9k citations indexed

About

Jérôme Lang is a scholar working on Artificial Intelligence, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Jérôme Lang has authored 125 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 55 papers in Economics and Econometrics and 50 papers in Management Science and Operations Research. Recurrent topics in Jérôme Lang's work include Logic, Reasoning, and Knowledge (57 papers), Game Theory and Voting Systems (54 papers) and Auction Theory and Applications (39 papers). Jérôme Lang is often cited by papers focused on Logic, Reasoning, and Knowledge (57 papers), Game Theory and Voting Systems (54 papers) and Auction Theory and Applications (39 papers). Jérôme Lang collaborates with scholars based in France, United States and United Kingdom. Jérôme Lang's co-authors include Henri Prade, Didier Dubois, D. Dubois, Vincent Conitzer, Ulle Endriss, Tüomas Sandholm, Lirong Xia, Yann Chevaleyre, Pierre Marquis and Nicolas Maudet and has published in prestigious journals such as European Journal of Operational Research, Artificial Intelligence and Fuzzy Sets and Systems.

In The Last Decade

Jérôme Lang

116 papers receiving 2.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jérôme Lang 1.9k 1.1k 1.0k 661 558 125 2.9k
Michael A. Trick 764 0.4× 1.3k 1.2× 944 0.9× 739 1.1× 563 1.0× 56 2.7k
Lirong Xia 609 0.3× 758 0.7× 821 0.8× 201 0.3× 181 0.3× 108 1.5k
Ulle Endriss 681 0.4× 755 0.7× 590 0.6× 134 0.2× 238 0.4× 106 1.4k
Edith Elkind 526 0.3× 1.3k 1.2× 1.5k 1.4× 463 0.7× 218 0.4× 140 2.1k
Alessio Lomuscio 2.3k 1.2× 520 0.5× 91 0.1× 934 1.4× 434 0.8× 144 2.8k
Kamesh Munagala 531 0.3× 499 0.4× 100 0.1× 372 0.6× 1.7k 3.1× 98 2.6k
Ηλίας Κουτσουπιάς 219 0.1× 956 0.9× 414 0.4× 270 0.4× 972 1.7× 71 1.9k
Bernhard von Stengel 592 0.3× 1.4k 1.3× 701 0.7× 154 0.2× 627 1.1× 44 2.4k
Aviv Zohar 544 0.3× 351 0.3× 304 0.3× 128 0.2× 680 1.2× 55 1.8k
Evangelos Markakis 228 0.1× 779 0.7× 635 0.6× 268 0.4× 407 0.7× 47 1.4k

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-authorship network of co-authors of Jérôme Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Lang. A scholar is included among the top collaborators of Jérôme Lang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jérôme Lang. Jérôme Lang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Macedo, Mariana, et al.. (2023). Understanding political divisiveness using online participation data from the 2022 French and Brazilian presidential elections. Nature Human Behaviour. 8(1). 137–148. 3 indexed citations
2.
Ditmarsch, Hans van, et al.. (2011). Logic, Rationality, and Interaction: Third International Workshop, LORI 2011, Guangzhou, China, October 10-13, 2011. Proceedings. Springer eBooks. 1 indexed citations
3.
Brewka, Gerhard & Jérôme Lang. (2010). Principles of Knowledge Representation and Reasoning: Proceedings of the 11th International Conference (KR 2008). Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 22 indexed citations
4.
Xia, Lirong & Jérôme Lang. (2009). A dichotomy theorem on the existence of efficient or neutral sequential voting correspondences. International Joint Conference on Artificial Intelligence. 342–347. 4 indexed citations
5.
Chevaleyre, Yann, et al.. (2009). Compiling the votes of a subelectorate. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 97–102. 16 indexed citations
6.
Conitzer, Vincent, Jérôme Lang, & Lirong Xia. (2009). How hard is it to Control Sequential Elections via the Agenda. RePEc: Research Papers in Economics. 103–108. 14 indexed citations
7.
Lang, Jérôme & Jérôme Mengin. (2009). The complexity of learning separable ceteris paribus preferences. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 848–853. 22 indexed citations
8.
Brewka, Gerhard & Jérôme Lang. (2008). Proceedings, Eleventh International Conference on Principles of Knowledge Representation and Reasoning. 13 indexed citations
9.
Xia, Lirong, Vincent Conitzer, & Jérôme Lang. (2008). Voting on multiattribute domains with cyclic preferential dependencies. National Conference on Artificial Intelligence. 202–207. 32 indexed citations
10.
Xia, Lirong, Jérôme Lang, & Mingsheng Ying. (2007). Strongly decomposable voting rules on multiattribute domains. National Conference on Artificial Intelligence. 776–781. 16 indexed citations
11.
Lang, Jérôme, et al.. (2005). Voting procedures with incomplete preferences. publish.UP (University of Potsdam). 74 indexed citations
12.
Chevaleyre, Yann, Paul E. Dunne, Ulle Endriss, et al.. (2005). ISSUES IN MULTI AGENT RESOURCE ALLOCATION. UvA-DARE (University of Amsterdam). 30(1). 3–31. 282 indexed citations
13.
Lang, Jérôme, et al.. (2004). From knowledge-based programs to graded belief-based programs - Part I: on-line reasoning. European Conference on Artificial Intelligence. 368–372. 4 indexed citations
14.
Conitzer, Vincent, Jérôme Lang, & Tüomas Sandholm. (2003). How many candidates are needed to make elections hard to manipulate?. 201–214. 35 indexed citations
15.
Saint-Cyr, Florence Dupin de & Jérôme Lang. (2002). Belief extrapolation (or how to reason about observations and unpredicted change). Principles of Knowledge Representation and Reasoning. 497–508. 6 indexed citations
16.
Lang, Jérôme & Pierre Marquis. (2000). In search of the right extension. Principles of Knowledge Representation and Reasoning. 31(1). 625–636. 6 indexed citations
17.
Lang, Jérôme, et al.. (2000). Logical representation of preferences for group decision making. Principles of Knowledge Representation and Reasoning. 457–468. 50 indexed citations
18.
Lang, Jérôme & Pierre Marquis. (1998). Complexity results for independence and definability in propositional logic. Principles of Knowledge Representation and Reasoning. 356–367. 11 indexed citations
19.
Lang, Jérôme & Pierre Marquis. (1998). Two forms of dependence in propositional logic: controllability and definability. National Conference on Artificial Intelligence. 268–273. 5 indexed citations
20.
Dubois, D., Jérôme Lang, & Henri Prade. (1994). Possibilistic Logic. 439–513. 296 indexed citations

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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