Christophe Labreuche

2.9k total citations
61 papers, 1.3k citations indexed

About

Christophe Labreuche is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Christophe Labreuche has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Management Science and Operations Research, 34 papers in Artificial Intelligence and 18 papers in Computational Theory and Mathematics. Recurrent topics in Christophe Labreuche's work include Multi-Criteria Decision Making (42 papers), Bayesian Modeling and Causal Inference (26 papers) and Fuzzy Systems and Optimization (16 papers). Christophe Labreuche is often cited by papers focused on Multi-Criteria Decision Making (42 papers), Bayesian Modeling and Causal Inference (26 papers) and Fuzzy Systems and Optimization (16 papers). Christophe Labreuche collaborates with scholars based in France, Australia and Portugal. Christophe Labreuche's co-authors include Michel Grabisch, Jean‐Claude Vansnick, Michel Grabisch, Simon Fossier, Nicolas Maudet, Jacky Montmain, Vincent Mousseau, Ivan Kojadinovic, Frédéric Barbaresco and Souhila Kaci and has published in prestigious journals such as European Journal of Operational Research, Mathematics of Computation and Information Sciences.

In The Last Decade

Christophe Labreuche

58 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christophe Labreuche France 15 876 434 353 234 230 61 1.3k
Toshiaki Murofushi Japan 17 1.2k 1.4× 573 1.3× 799 2.3× 399 1.7× 346 1.5× 55 1.9k
Rafik Aziz Aliev Azerbaijan 26 995 1.1× 773 1.8× 518 1.5× 249 1.1× 457 2.0× 74 1.9k
Waldemar W. Koczkodaj Canada 19 659 0.8× 263 0.6× 127 0.4× 267 1.1× 92 0.4× 65 1.0k
Yasuo Narukawa Japan 20 1.9k 2.2× 726 1.7× 855 2.4× 568 2.4× 657 2.9× 79 2.5k
Marco Zaffalon Switzerland 24 372 0.4× 1.2k 2.7× 257 0.7× 409 1.7× 82 0.4× 120 1.8k
O. H. Huseynov Azerbaijan 16 717 0.8× 340 0.8× 383 1.1× 167 0.7× 211 0.9× 36 935
LeSheng Jin China 21 1.0k 1.1× 290 0.7× 431 1.2× 270 1.2× 378 1.6× 97 1.3k
Susana Montes Spain 18 793 0.9× 388 0.9× 379 1.1× 417 1.8× 130 0.6× 108 1.1k
Luis M. de Campos Spain 26 1.1k 1.2× 1.4k 3.3× 600 1.7× 429 1.8× 416 1.8× 104 2.7k
Serafı́n Moral Spain 28 843 1.0× 1.7k 3.8× 399 1.1× 520 2.2× 116 0.5× 112 2.2k

Countries citing papers authored by Christophe Labreuche

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Labreuche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christophe Labreuche

This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Labreuche. A scholar is included among the top collaborators of Christophe Labreuche 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 Christophe Labreuche. Christophe Labreuche 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.
Grabisch, Michel, et al.. (2023). An Approximation Algorithm for Random Generation of Capacities. Order. 41(2). 281–306. 5 indexed citations
2.
Labreuche, Christophe, et al.. (2023). Questionable stepwise explanations for a robust additive preference model. International Journal of Approximate Reasoning. 171. 108982–108982. 2 indexed citations
3.
Grabisch, Michel, et al.. (2023). An improvement of Random Node Generator for the uniform generation of capacities. Annals of Mathematics and Artificial Intelligence. 92(6). 1381–1406.
4.
Grabisch, Michel, et al.. (2019). Interaction indices for multichoice games. Fuzzy Sets and Systems. 383. 1–26. 1 indexed citations
5.
Grabisch, Michel & Christophe Labreuche. (2017). Monotone decomposition of 2-additive Generalized Additive Independence models. Mathematical Social Sciences. 92. 64–73. 5 indexed citations
6.
Labreuche, Christophe, et al.. (2015). Use of a multi-criteria decision support tool to prioritize reconstruction projects in a post-disaster phase. 200–206. 9 indexed citations
7.
Kaci, Souhila & Christophe Labreuche. (2013). Valued preference-based instantiation of argumentation frameworks with varied strength defeats. International Journal of Approximate Reasoning. 55(9). 2004–2027. 3 indexed citations
8.
Labreuche, Christophe & Michel Grabisch. (2013). Use of the GAI model in multi-criteria decision making: inconsistency handling, interpretation. 4 indexed citations
9.
Labreuche, Christophe. (2010). A general framework for explaining the results of a multi-attribute preference model. Artificial Intelligence. 175(7-8). 1410–1448. 28 indexed citations
10.
Labreuche, Christophe. (2009). On the completion mechanism produced by the Choquet integral on some decision strategies. European Society for Fuzzy Logic and Technology Conference. 567–572. 1 indexed citations
11.
Barbaresco, Frédéric, et al.. (2009). Intelligent M3R Radar Time Resources management: Advanced cognition, agility & autonomy capabilities. 1–6. 18 indexed citations
12.
Grabisch, Michel, et al.. (2008). A characterization of the 2-additive Choquet integral. RePEc: Research Papers in Economics. 6 indexed citations
13.
Labreuche, Christophe. (2007). Modeling the Context in Multi-Criteria Decision Analysis.. European Society for Fuzzy Logic and Technology Conference. 303–310. 2 indexed citations
14.
Grabisch, Michel & Christophe Labreuche. (2007). A decade of application of the Choquet and Sugeno integrals in multi-criteria decision aid. 4OR. 6(1). 1–44. 119 indexed citations
15.
Grabisch, Michel, et al.. (2006). Integration and propagation of a multi-criteria decision making model in constraint programming. Journal of Heuristics. 12(4-5). 329–346. 11 indexed citations
16.
Labreuche, Christophe, et al.. (2005). MIRIAD: a tool suite for MCDA.. European Society for Fuzzy Logic and Technology Conference. 204–209. 7 indexed citations
17.
Labreuche, Christophe. (2005). Argumentation of the results of a multi-criteria evaluation model in individual and group decision aiding.. European Society for Fuzzy Logic and Technology Conference. 482–487. 8 indexed citations
18.
Grabisch, Michel & Christophe Labreuche. (2005). A general construction for unipolar and bipolar interpolative aggregation. HAL (Le Centre pour la Communication Scientifique Directe). 916–921. 4 indexed citations
19.
Grabisch, Michel & Christophe Labreuche. (2001). HOW TO IMPROVE ACTS: AN ALTERNATIVE REPRESENTATION OF THE IMPORTANCE OF CRITERIA IN MCDM. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 9(2). 145–157. 11 indexed citations
20.
Labreuche, Christophe. (1999). Stability of the Recovery of Surface Impedances in Inverse Scattering. Journal of Mathematical Analysis and Applications. 231(1). 161–176. 14 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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