Jean‐François Laslier

3.4k total citations
103 papers, 1.7k citations indexed

About

Jean‐François Laslier is a scholar working on Economics and Econometrics, Political Science and International Relations and Management Science and Operations Research. According to data from OpenAlex, Jean‐François Laslier has authored 103 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Economics and Econometrics, 39 papers in Political Science and International Relations and 31 papers in Management Science and Operations Research. Recurrent topics in Jean‐François Laslier's work include Game Theory and Voting Systems (61 papers), Electoral Systems and Political Participation (36 papers) and Experimental Behavioral Economics Studies (18 papers). Jean‐François Laslier is often cited by papers focused on Game Theory and Voting Systems (61 papers), Electoral Systems and Political Participation (36 papers) and Experimental Behavioral Economics Studies (18 papers). Jean‐François Laslier collaborates with scholars based in France, Canada and United Kingdom. Jean‐François Laslier's co-authors include Karine Van der Straeten, Gilbert Laffond, M. Remzi Sanver, Michel Le Breton, André Blais, Bhaskar Dutta, Nathalie Picard, Bernard Walliser, Piotr Skowron and Luc Arrondel and has published in prestigious journals such as American Economic Review, Journal of Political Economy and European Journal of Operational Research.

In The Last Decade

Jean‐François Laslier

96 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jean‐François Laslier France 23 1.2k 733 549 287 221 103 1.7k
Michel Le Breton France 26 1.7k 1.4× 858 1.2× 578 1.1× 181 0.6× 147 0.7× 120 2.0k
Dan S. Felsenthal Israel 23 1.3k 1.0× 617 0.8× 759 1.4× 185 0.6× 159 0.7× 76 1.7k
John Duggan United States 25 1.4k 1.1× 629 0.9× 702 1.3× 200 0.7× 93 0.4× 78 1.7k
Nicolaus Tideman United States 19 1.0k 0.8× 445 0.6× 278 0.5× 167 0.6× 194 0.9× 90 1.6k
Kotaro Suzumura Japan 22 1.6k 1.3× 634 0.9× 217 0.4× 230 0.8× 165 0.7× 97 2.2k
Alvaro Sandroni United States 18 852 0.7× 484 0.7× 243 0.4× 403 1.4× 151 0.7× 62 1.7k
Prasanta K. Pattanaik United States 30 1.8k 1.5× 908 1.2× 414 0.8× 312 1.1× 325 1.5× 117 2.9k
Clemens Puppe Germany 21 893 0.7× 433 0.6× 102 0.2× 456 1.6× 227 1.0× 66 1.5k
Salvador Barberà Spain 29 2.1k 1.8× 1.5k 2.0× 207 0.4× 320 1.1× 375 1.7× 96 2.5k
Manfred J. Holler Germany 16 937 0.8× 503 0.7× 338 0.6× 159 0.6× 53 0.2× 100 1.4k

Countries citing papers authored by Jean‐François Laslier

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐François Laslier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐François Laslier. 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 Jean‐François Laslier. The network helps show where Jean‐François Laslier may publish in the future.

Co-authorship network of co-authors of Jean‐François Laslier

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐François Laslier. A scholar is included among the top collaborators of Jean‐François Laslier 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 Jean‐François Laslier. Jean‐François Laslier 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.
Lachat, Romain & Jean‐François Laslier. (2024). Alternatives to plurality rule for single-winner elections: When do they make a difference?. European Journal of Political Economy. 81. 102505–102505.
2.
Arrondel, Luc, et al.. (2023). Economic analysis of the 12th man: Should the fans be paid?. HAL (Le Centre pour la Communication Scientifique Directe). 3. 100017–100017. 1 indexed citations
3.
Harfst, Philipp, Damien Bol, André Blais, et al.. (2023). All (electoral) politics is local? Candidate's regional roots and vote choice. Journal of Elections Public Opinion and Parties. 34(3). 387–408.
4.
Blais, André, et al.. (2020). Party preference representation. Party Politics. 28(1). 48–60. 2 indexed citations
5.
Laslier, Jean‐François, et al.. (2019). The Future of Economic Design: The Continuing Development of a Field as Envisioned by Its Researchers. RePEc: Research Papers in Economics. 5 indexed citations
6.
Straeten, Karine Van der, Romain Lachat, & Jean‐François Laslier. (2018). Strategic Voting in Multiwinner Elections with Approval Balloting: An Application to the 2011 Regional Government Election in Zurich. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
7.
Arrondel, Luc, Richard Duhautois, & Jean‐François Laslier. (2018). Decision under psychological pressure: The shooter's anxiety at the penalty kick. Journal of Economic Psychology. 70. 22–35. 28 indexed citations
8.
Bol, Damien, André Blais, & Jean‐François Laslier. (2018). A mixed-utility theory of vote choice regret. Public Choice. 176(3-4). 461–478. 11 indexed citations
9.
Baujard, Antoinette, et al.. (2017). Sincere Voting, Strategic Voting a Laboratory Experiment Using Alternative Proportional Systems. RePEc: Research Papers in Economics. 1 indexed citations
10.
Baujard, Antoinette, et al.. (2017). How Voters Use Grade Scales in Evaluative Voting. SSRN Electronic Journal. 1 indexed citations
11.
Elkind, Edith, Piotr Faliszewski, Jean‐François Laslier, et al.. (2017). What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 494–501. 23 indexed citations
12.
Laslier, Jean‐François & Karine Van der Straeten. (2008). Approval Voting in the French 2002 Presidential Election: A Live Experiment. Toulouse Capitole Publications (University Toulouse 1 Capitole). 1 indexed citations
13.
Laslier, Jean‐François & Karine Van der Straeten. (2007). A live experiment on approval voting. Experimental Economics. 11(1). 97–105. 43 indexed citations
14.
Laslier, Jean‐François. (2006). Ambiguity in Electoral Competition. Economics of Governance. 7(2). 195–210. 9 indexed citations
15.
Laslier, Jean‐François. (2005). Spatial Approval Voting. Political Analysis. 14(2). 160–185. 20 indexed citations
16.
Laslier, Jean‐François. (2003). Analysing a preference and approval profile. Social Choice and Welfare. 20(2). 229–242. 7 indexed citations
17.
Walliser, Bernard, André Orléan, Jacques Lesourne, et al.. (2002). Leçons de microéconomie évolutionniste. 5 indexed citations
18.
Laslier, Jean‐François & Gilbert Laffond. (1994). Social-choice mediators. American Economic Review. 84(2). 448–453. 15 indexed citations
19.
Laffond, Gilbert, Jean‐François Laslier, & Michael Le Breton. (1993). More on the tournament equilibrium set. French digital mathematics library (Numdam). 9 indexed citations
20.
Laslier, Jean‐François. (1989). Développement des entreprises et évolution de la concurrence. Économie appliquée. 42(3). 155–170. 1 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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