Sylvain Bouveret
- Economics and Econometrics top 5%
- Management Science and Operations Research top 5%
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Co-authors
- Michel Lemaı̂treJérôme LangUlle EndrissHélène FargierHaris AzizAyumi IgarashiKataŕına CechlárováEdith Elkind
- Topics
- Auction Theory and Applications (10 papers)Game Theory and Voting Systems (8 papers)Logic, Reasoning, and Knowledge (6 papers)
- Cited by
- Management Science and Operations ResearchEconomics and EconometricsGeneral Decision Sciences
In The Last Decade
Sylvain Bouveret
18 papers receiving 308 citations
Peers
Comparison fields: 5 of 47
- Economics and Econometrics 215
- Management Science and Operations Research 212
- Computational Theory and Mathematics 71
- Computer Networks and Communications 63
- Artificial Intelligence 63
Countries citing papers authored by Sylvain Bouveret
This map shows the geographic impact of Sylvain Bouveret'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 Sylvain Bouveret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Bouveret more than expected).
Fields of papers citing papers by Sylvain Bouveret
This network shows the impact of papers produced by Sylvain Bouveret. 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 Sylvain Bouveret. The network helps show where Sylvain Bouveret may publish in the future.
Co-authorship network of co-authors of Sylvain Bouveret
This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Bouveret. A scholar is included among the top collaborators of Sylvain Bouveret 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 Sylvain Bouveret. Sylvain Bouveret is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 19 | |
| 11 | 80 | |
| 12 | 67 | |
| 13 | Positional Scoring Rules for the Allocation of Indivisible Goods | 3 |
| 14 | Conditional importance networks: a graphical language for representing ordinal, monotonic preferences over sets of goods | 27 |
| 15 | 20 | |
| 16 | 6 | |
| 17 | Max-CSP competition 2008: toulbar2 solver description | 5 |
| 18 | New constraint programming approaches for the computation of leximin-optimal solutions in constraint networks | 4 |
| 19 | Efficiency and envy-freeness in fair division of indivisible goods | 8 |
| 20 | 29 |
About Sylvain Bouveret
Sylvain Bouveret is a scholar working on Management Science and Operations Research, Computer Science Applications and Economics and Econometrics, having authored 20 papers that have together received 319 indexed citations. Recurring topics across this work include Auction Theory and Applications (10 papers), Game Theory and Voting Systems (8 papers) and Logic, Reasoning, and Knowledge (6 papers). The work is most often cited by research in Management Science and Operations Research (212 citations), Economics and Econometrics (215 citations) and General Decision Sciences (12 citations). Sylvain Bouveret has collaborated with scholars based in France, Australia and Slovakia. Frequent co-authors include Michel Lemaı̂tre, Jérôme Lang, Ulle Endriss, Hélène Fargier, Haris Aziz, Ayumi Igarashi, Kataŕına Cechlárová, Edith Elkind, Dominik Peters and Ioannis Caragiannis. Their work appears in journals such as Artificial Intelligence, Journal of Artificial Intelligence Research and Autonomous Agents and Multi-Agent Systems.
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.