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.
Aggregation Functions
2009980 citationsMichel Grabisch, Jean‐Luc Marichal et al.Cambridge University Press eBooksprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Jean‐Luc Marichal
Since
Specialization
Citations
This map shows the geographic impact of Jean‐Luc Marichal'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 Jean‐Luc Marichal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Luc Marichal more than expected).
Fields of papers citing papers by Jean‐Luc Marichal
This network shows the impact of papers produced by Jean‐Luc Marichal. 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 Jean‐Luc Marichal. The network helps show where Jean‐Luc Marichal may publish in the future.
Co-authorship network of co-authors of Jean‐Luc Marichal
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Luc Marichal.
A scholar is included among the top collaborators of Jean‐Luc Marichal 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 Jean‐Luc Marichal. Jean‐Luc Marichal is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Couceiro, Miguel & Jean‐Luc Marichal. (2010). On two generalizations of associativity. Open Repository and Bibliography (University of Luxembourg).1 indexed citations
9.
Marichal, Jean‐Luc & Pierre Mathonet. (2010). WEIGHTED BANZHAF INTERACTION INDEX THROUGH WEIGHTED APPROXIMATIONS OF GAMES. arXiv (Cornell University).
10.
Couceiro, Miguel & Jean‐Luc Marichal. (2010). Axiomatizations of Lov\'asz extensions and symmetric Lov\'asz extensions of pseudo-Boolean functions. arXiv (Cornell University).1 indexed citations
Grabisch, Michel, Jean‐Luc Marichal, Radko Mesiar, & Endre Pap. (2010). Aggregation functions: Means. Information Sciences. 181(1). 1–22.189 indexed citations
13.
Grabisch, Michel, Jean‐Luc Marichal, Radko Mesiar, & Endre Pap. (2009). Aggregation Functions (Encyclopedia of Mathematics and its Applications). Cambridge University Press eBooks.167 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
18.
Marichal, Jean‐Luc & Marc Roubens. (1999). Consensus with ordinal data. Open Repository and Bibliography (University of Luxembourg). 149(3). 519–29.2 indexed citations
19.
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
20.
Marichal, Jean‐Luc. (1996). Interaction between criteria through the use of fuzzy measures. Open Repository and Bibliography (University of Luxembourg).5 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.