Michel Grabisch
- Management Science and Operations Research top 5%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Economics and Econometrics
- Statistics and Probability top 10%
- Co-authors
- Frédéric MarcelMyriam MéradNicolas DechyAgnieszka RusinowskaChristophe LabreuchePedro MirandaPedro GilAgnès Rico
- Topics
- Multi-Criteria Decision Making (12 papers)Fuzzy Systems and Optimization (9 papers)Rough Sets and Fuzzy Logic (3 papers)
In The Last Decade
Michel Grabisch
13 papers receiving 170 citations
Peers
Comparison fields: 5 of 59
- Management Science and Operations Research 126
- Artificial Intelligence 50
- Computational Theory and Mathematics 41
- Economics and Econometrics 38
- Statistics and Probability 30
Countries citing papers authored by Michel Grabisch
This map shows the geographic impact of Michel Grabisch'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 Michel Grabisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Grabisch more than expected).
Fields of papers citing papers by Michel Grabisch
This network shows the impact of papers produced by Michel Grabisch. 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 Michel Grabisch. The network helps show where Michel Grabisch may publish in the future.
Co-authorship network of co-authors of Michel Grabisch
This figure shows the co-authorship network connecting the top 25 collaborators of Michel Grabisch. A scholar is included among the top collaborators of Michel Grabisch 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 Michel Grabisch. Michel Grabisch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | Application of the Choquet integral to the evaluation of subjective mental workload | 1 |
| 7 | 32 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 14 | |
| 12 | 12 | |
| 13 | 11 | |
| 14 | 14 |
About Michel Grabisch
Michel Grabisch is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Theory and Mathematics, having authored 14 papers that have together received 184 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (12 papers), Fuzzy Systems and Optimization (9 papers) and Rough Sets and Fuzzy Logic (3 papers). The work is most often cited by research in Management Science and Operations Research (126 citations), Statistics and Probability (30 citations) and Computational Theory and Mathematics (41 citations). Michel Grabisch has collaborated with scholars based in France, Australia and Japan. Frequent co-authors include Frédéric Marcel, Myriam Mérad, Nicolas Dechy, Agnieszka Rusinowska, Christophe Labreuche, Pedro Miranda, Pedro Gil, Agnès Rico, Philippe Smets and Didier Dubois. Their work appears in journals such as European Journal of Operational Research, Information Sciences and Fuzzy Sets and 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.