Christophe Marsala
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Management Science and Operations Research top 10%
- Information Systems
- Computer Vision and Pattern Recognition
- Co-authors
- Bernadette Bouchon‐MeunierMaria RifqiMarie‐Jeanne LesotDavide PetturitiMarcin DetynieckiRadko MesiarDaniel DusserSarah Hartley
- Topics
- Fuzzy Logic and Control Systems (9 papers)Rough Sets and Fuzzy Logic (8 papers)Multi-Criteria Decision Making (7 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchComputational Theory and Mathematics
- Partner nations
- FrancePolandUnited States
In The Last Decade
Christophe Marsala
33 papers receiving 281 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 173
- Computational Theory and Mathematics 65
- Management Science and Operations Research 63
- Information Systems 40
- Computer Vision and Pattern Recognition 35
Countries citing papers authored by Christophe Marsala
This map shows the geographic impact of Christophe Marsala'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 Marsala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Marsala more than expected).
Fields of papers citing papers by Christophe Marsala
This network shows the impact of papers produced by Christophe Marsala. 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 Marsala. The network helps show where Christophe Marsala may publish in the future.
Co-authorship network of co-authors of Christophe Marsala
This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Marsala. A scholar is included among the top collaborators of Christophe Marsala 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 Marsala. Christophe Marsala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | Entropies et ensembles flous intuitionnistes | 1 |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 18 | |
| 13 | 6 | |
| 14 | 17 | |
| 15 | 4 | |
| 16 | 6 | |
| 17 | 34 | |
| 18 | 2 | |
| 19 | 31 | |
| 20 | Inductive Learning and Fuzziness | 5 |
About Christophe Marsala
Christophe Marsala is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics, having authored 36 papers that have together received 290 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (9 papers), Rough Sets and Fuzzy Logic (8 papers) and Multi-Criteria Decision Making (7 papers). The work is most often cited by research in Artificial Intelligence (173 citations), Management Science and Operations Research (63 citations) and Computational Theory and Mathematics (65 citations). Christophe Marsala has collaborated with scholars based in France, Poland and United States. Frequent co-authors include Bernadette Bouchon‐Meunier, Maria Rifqi, Marie‐Jeanne Lesot, Davide Petturiti, Marcin Detyniecki, Radko Mesiar, Daniel Dusser, Sarah Hartley, Andréa Pinna and Mohammed Ramdani. Their work appears in journals such as Information Sciences, Fuzzy Sets and Systems and Respiratory Medicine.
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.