Michel Ménard

87 total papers · 647 total citations
26 papers, 409 citations indexed

About

Michel Ménard is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Michel Ménard has authored 26 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Computational Theory and Mathematics. Recurrent topics in Michel Ménard's work include Rough Sets and Fuzzy Logic (4 papers), Advanced Clustering Algorithms Research (4 papers) and Fuzzy Logic and Control Systems (3 papers). Michel Ménard is often cited by papers focused on Rough Sets and Fuzzy Logic (4 papers), Advanced Clustering Algorithms Research (4 papers) and Fuzzy Logic and Control Systems (3 papers). Michel Ménard collaborates with scholars based in France, Switzerland and Argentina. Michel Ménard's co-authors include Renaud Péteri, Petra Gomez‐Krämer, Vincent Courboulay, Quentin Rome, Fabrice Réquier, Franck Müller, Claire Villemant, Mickaël Henry, Jean-Marc Ogier and Ahmad Shahin and has published in prestigious journals such as Pattern Recognition, Fuzzy Sets and Systems and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Michel Ménard

26 papers receiving 392 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michel Ménard	119	114	112	104	99	26	409
Vladimir Risojević	56 0.5×	52 0.5×	51 0.5×	195 1.9×	57 0.6×	37	403
Katrien De Cock	96 0.8×	9 0.1×	130 1.2×	104 1.0×	67 0.7×	30	468
Rémi Mégret	38 0.3×	37 0.3×	30 0.3×	96 0.9×	111 1.1×	26	457
Hubertus F. von Bremen	34 0.3×	21 0.2×	9 0.1×	33 0.3×	45 0.5×	17	494
Gerardo Hernández	12 0.1×	76 0.7×	18 0.2×	35 0.3×	64 0.6×	44	387
Oliver M. Cliff	14 0.1×	10 0.1×	13 0.1×	89 0.9×	92 0.9×	17	412
Kui Fang	18 0.2×	92 0.8×	11 0.1×	35 0.3×	73 0.7×	38	415
Yantao Zhou	11 0.1×	18 0.2×	4 0.0×	21 0.2×	39 0.4×	34	449
Xun Wang	12 0.1×	13 0.1×	9 0.1×	195 1.9×	106 1.1×	43	405
Jakob Gulddahl Rasmussen	10 0.1×	45 0.4×	19 0.2×	6 0.1×	48 0.5×	36	414

Countries citing papers authored by Michel Ménard

Since Specialization

Citations

This map shows the geographic impact of Michel Ménard'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 Ménard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Ménard more than expected).

Fields of papers citing papers by Michel Ménard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michel Ménard. 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 Ménard. The network helps show where Michel Ménard may publish in the future.

Co-authorship network of co-authors of Michel Ménard

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Ménard. A scholar is included among the top collaborators of Michel Ménard 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 Ménard. Michel Ménard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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