Marc Roubens
Impact in
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- Multi-Criteria Decision Making
- Statistics and Probability top 0.2%
- Fuzzy Systems and Optimization
Papers in
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- Multi-Criteria Decision Making 42
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- Bayesian Modeling and Causal Inference 14
- Co-authors
- János Fodor (11 shared papers)Jean‐Luc Marichal (14 shared papers)Philippe Fortemps (1 shared paper)Michel Grabisch (4 shared papers)Sergeĭ Ovchinnikov (3 shared papers)Philippe Vincke (4 shared papers)Patrick Meyer (3 shared papers)R. Löwen (2 shared papers)
In The Last Decade
Marc Roubens
64 papers receiving 4.1k citations
Marc Roubens's Hit Papers
Peers
Comparison fields: 5 of 138
- Management Science and Operations Research 3.1k
- Statistics and Probability 1.1k
- Computational Theory and Mathematics 1.4k
- Artificial Intelligence 1.6k
- Control and Systems Engineering 780
Countries citing papers authored by Marc Roubens
This map shows the geographic impact of Marc Roubens'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 Marc Roubens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Roubens more than expected).
Fields of papers citing papers by Marc Roubens
This network shows the impact of papers produced by Marc Roubens. 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 Marc Roubens. The network helps show where Marc Roubens may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Roubens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fuzzy Preference Modelling and Multicriteria Decision Support Hit paper breakdown → | 1994 | 1284 |
| 2 | 1996 | 383 | |
| 3 | 1997 | 241 | |
| 4 | 1995 | 233 | |
| 5 | 1982 | 196 | |
| 6 | 2000 | 189 | |
| 7 | 1982 | 175 | |
| 8 | 1999 | 164 | |
| 9 | 1978 | 153 | |
| 10 | 2000 | 106 | |
| 11 | 1985 | 99 | |
| 12 | 1986 | 75 | |
| 13 | 1991 | 72 | |
| 14 | 2005 | 71 | |
| 15 | 1999 | 70 | |
| 16 | Fuzzy logic : state of the art | 1993 | 66 |
| 17 | 1989 | 66 | |
| 18 | 2001 | 59 | |
| 19 | 2003 | 53 | |
| 20 | 1991 | 52 |
About Marc Roubens
Marc Roubens is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics, Statistics and Probability and Signal Processing, having authored 66 papers that have together received 4.4k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (42 papers), Fuzzy Systems and Optimization (18 papers), Bayesian Modeling and Causal Inference (14 papers), Advanced Algebra and Logic (12 papers), Data Management and Algorithms (8 papers), Rough Sets and Fuzzy Logic (8 papers), Game Theory and Voting Systems (5 papers) and Optimization and Mathematical Programming (4 papers). The work is most often cited by research in Management Science and Operations Research (3.1k citations), Statistics and Probability (1.1k citations), Computational Theory and Mathematics (1.4k citations), Artificial Intelligence (1.6k citations) and Control and Systems Engineering (780 citations). Marc Roubens has collaborated with scholars based in Belgium, France and Hungary. Frequent co-authors include János Fodor, Jean‐Luc Marichal, Philippe Fortemps, Michel Grabisch, Sergeĭ Ovchinnikov, Philippe Vincke, Patrick Meyer, R. Löwen, Jacques Teghem and H. Prade. Their work appears in journals such as Fuzzy Sets and Systems, European Journal of Operational Research, Information Sciences, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems and Mathematical Social Sciences.
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.