Yann Chevaleyre
About
In The Last Decade
Yann Chevaleyre
41 papers receiving 836 citations
Peers
Comparison fields: 5 of 89
- Management Science and Operations Research 383
- Artificial Intelligence 316
- Economics and Econometrics 291
- Computer Networks and Communications 285
- Computer Vision and Pattern Recognition 107
Countries citing papers authored by Yann Chevaleyre
This map shows the geographic impact of Yann Chevaleyre'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 Yann Chevaleyre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yann Chevaleyre more than expected).
Fields of papers citing papers by Yann Chevaleyre
This network shows the impact of papers produced by Yann Chevaleyre. 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 Yann Chevaleyre. The network helps show where Yann Chevaleyre may publish in the future.
Co-authorship network of co-authors of Yann Chevaleyre
This figure shows the co-authorship network connecting the top 25 collaborators of Yann Chevaleyre. A scholar is included among the top collaborators of Yann Chevaleyre 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 Yann Chevaleyre. Yann Chevaleyre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality | 0 |
| 3 | 34 | |
| 4 | 10 | |
| 5 | 22 | |
| 6 | 29 | |
| 7 | 8 | |
| 8 | Rounding Methods for Discrete Linear Classification | 11 |
| 9 | 2 | |
| 10 | Protocols for Tractable Resource Allocation with k-additive Utilities | 0 |
| 11 | Compiling the votes of a subelectorate | 16 |
| 12 | 5 | |
| 13 | Reaching envy-free states in distributed negotiation settings | 33 |
| 14 | Allocating goods on a graph to eliminate envy | 18 |
| 15 | On maximal classes of utility functions for efficient one-to-one negotiation | 10 |
| 16 | ISSUES IN MULTI AGENT RESOURCE ALLOCATION | 282 |
| 17 | Welfare engineering in practice: On the variety of multiagent resource allocation problems | 3 |
| 18 | 20 | |
| 19 | 27 | |
| 20 | 155 |
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.