Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Fuzzy Preference Modelling and Multicriteria Decision Support
19941.3k citationsJános Fodor, Marc Roubensprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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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).
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-authorship network of co-authors of Marc Roubens
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Roubens.
A scholar is included among the top collaborators of Marc Roubens 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 Marc Roubens. Marc Roubens is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Swart, H.C.M. de, Ewa Orłowska, G. Schmidt, & Marc Roubens. (2006). Theory and Applications of Relational Structures as Knowledge Instruments II: International Workshops of COST Action 274, TARSKI, 2002-2005, Selected Revised Papers (Lecture Notes in Computer Science). Springer eBooks.1 indexed citations
3.
Meyer, Patrick & Marc Roubens. (2005). On the use of the Choquet integral with fuzzy numbers in Multiple Criteria Decision Aiding.. European Society for Fuzzy Logic and Technology Conference. 210–215.2 indexed citations
4.
Bisdorff, Raymond & Marc Roubens. (2004). Choice procedures in pairwise comparison multiple-attribute decision making methods. Lecture notes in computer science. 3051.1 indexed citations
Marichal, Jean‐Luc & Marc Roubens. (1999). ENTROPY OF A CHOQUET CAPACITY. Open Repository and Bibliography (University of Luxembourg). 383–385.3 indexed citations
8.
Marichal, Jean‐Luc & Marc Roubens. (1999). Consensus with ordinal data. Open Repository and Bibliography (University of Luxembourg). 149(3). 519–29.2 indexed citations
9.
Grabisch, Michel, Jean‐Luc Marichal, & Marc Roubens. (1998). Equivalent Representations of a Set Function with Applications to Game Theory and Multicriteria Decision Making. Open Repository and Bibliography (University of Luxembourg).6 indexed citations
Fodor, János & Marc Roubens. (1995). On meaningfulness of means. Journal of Computational and Applied Mathematics. 64(1-2). 103–115.14 indexed citations
12.
Löwen, R. & Marc Roubens. (1993). Fuzzy logic : state of the art. Kluwer Academic eBooks.66 indexed citations
Roubens, Marc. (1969). Lissage exponentiel d'un signal polynomial brouillé observé de manière discrète ou continue. French digital mathematics library (Numdam). 17(3). 61–73.
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.