Michel Ménard

618 total citations
25 papers, 393 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 25 papers receiving a total of 393 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 Image and Signal Denoising Methods (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 Image and Signal Denoising Methods (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, Mickaël Henry, Franck Müller, Fabrice Réquier, Quentin Rome, Claire Villemant, 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

25 papers receiving 376 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michel Ménard France 12 119 115 113 99 95 25 393
Hubertus F. von Bremen United States 12 34 0.3× 21 0.2× 9 0.1× 34 0.3× 45 0.5× 17 497
Gerardo Hernández Mexico 10 12 0.1× 76 0.7× 18 0.2× 35 0.4× 64 0.7× 44 389
Hiroki Nakanishi Japan 15 30 0.3× 8 0.1× 86 0.8× 36 0.4× 102 1.1× 42 773
Noboru Ιτο Japan 14 27 0.2× 51 0.4× 36 0.3× 11 0.1× 397 4.2× 129 861
Jérôme Louveaux Belgium 22 202 1.7× 198 1.7× 205 1.8× 25 0.3× 42 0.4× 122 1.6k
Laurent Lefèvre France 13 41 0.3× 44 0.4× 36 0.3× 6 0.1× 16 0.2× 66 601
Johan A. du Preez South Africa 12 38 0.3× 11 0.1× 3 0.0× 275 2.8× 480 5.1× 52 827
Tom Arbuckle Ireland 9 17 0.1× 21 0.2× 28 0.2× 58 0.6× 84 0.9× 18 253
Daniel Marthaler United States 9 10 0.1× 13 0.1× 6 0.1× 57 0.6× 33 0.3× 14 519
M. Venkatesulu India 9 122 1.0× 5 0.0× 16 0.1× 78 0.8× 117 1.2× 41 480

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

20 of 20 papers shown
1.
Revel, Arnaud, et al.. (2020). RHIZOME ARCHITECTURE: An Adaptive Neurobehavioral Control Architecture for Cognitive Mobile Robots—Application in a Vision-Based Indoor Robot Navigation Context. International Journal of Social Robotics. 12(3). 659–688. 3 indexed citations
2.
Ménard, Michel, et al.. (2019). Détection de signaux faibles dans des masses de données faiblement structurées. HAL (Le Centre pour la Communication Scientifique Directe). 3(1). 2 indexed citations
3.
Ménard, Michel, et al.. (2019). Development of an Aquatic USV with High Communication Capability for Environmental Surveillance. OCEANS 2019 - Marseille. 1–8. 4 indexed citations
4.
Réquier, Fabrice, Quentin Rome, Michel Ménard, et al.. (2018). Predation of the invasive Asian hornet affects foraging activity and survival probability of honey bees in Western Europe. Journal of Pest Science. 92(2). 567–578. 94 indexed citations
5.
Ménard, Michel, et al.. (2016). UWB pulse radar for micro-motion detection. 152–155. 3 indexed citations
6.
Gomez‐Krämer, Petra, et al.. (2015). Modélisation comportementale selon différentes échelles temporelles pour des trajectoires issues de scènes encombrées. Approche bayésienne non paramétrique par HDP. Revue d intelligence artificielle. 29(2). 173–203. 1 indexed citations
7.
Gomez‐Krämer, Petra, et al.. (2013). Detecting and tracking honeybees in 3D at the beehive entrance using stereo vision. EURASIP Journal on Image and Video Processing. 2013(1). 40 indexed citations
8.
Péteri, Renaud, et al.. (2013). Characterization and recognition of dynamic textures based on the 2D+T curvelet transform. Signal Image and Video Processing. 9(4). 819–830. 38 indexed citations
9.
Ménard, Michel, et al.. (2012). Using CFAR algorithm to further improve a combined through-wall imaging method. European Signal Processing Conference. 2521–2525. 2 indexed citations
10.
Péteri, Renaud, et al.. (2011). Decomposition of Dynamic Textures Using Morphological Component Analysis. IEEE Transactions on Circuits and Systems for Video Technology. 22(2). 188–201. 13 indexed citations
11.
Ménard, Michel, et al.. (2010). Through the wall detection and localization of a moving target with a bistatic UWB radar system. European Radar Conference. 204–207. 18 indexed citations
12.
Ménard, Michel, et al.. (2003). Possibilistic and probabilistic fuzzy clustering: unification within the framework of the non-extensive thermostatistics. Pattern Recognition. 36(6). 1325–1342. 39 indexed citations
13.
Ménard, Michel, et al.. (2002). Extreme physical information and objective function in fuzzy clustering. Fuzzy Sets and Systems. 128(3). 285–303. 11 indexed citations
14.
Ménard, Michel. (2001). Fuzzy clustering and switching regression models using ambiguity and distance rejects. Fuzzy Sets and Systems. 122(3). 363–399. 17 indexed citations
15.
Shahin, Ahmad, et al.. (2000). Cooperation of fuzzy segmentation operators for correction aliasing phenomenon in 3D color Doppler imaging. Artificial Intelligence in Medicine. 19(2). 121–154. 13 indexed citations
16.
Ménard, Michel, et al.. (2000). A MULTIPLE CLASSIFIER SYSTEM USING AMBIGUITY REJECTION FOR CLUSTERING-CLASSIFICATION COOPERATION. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 8(6). 747–762. 3 indexed citations
17.
Scheffler, Michael, et al.. (2000). Assessing the cost‐effectiveness of integrated passives. Microelectronics International. 17(3). 11–15. 19 indexed citations
18.
Ménard, Michel, et al.. (2000). The fuzzy c+2-means: solving the ambiguity rejection in clustering. Pattern Recognition. 33(7). 1219–1237. 30 indexed citations
19.
Ménard, Michel, et al.. (1999). Fuzzy clustering with ambiguity for multi-classifiers fusion: clustering-classification cooperation.. HAL (Le Centre pour la Communication Scientifique Directe). 505–508. 1 indexed citations
20.
Ménard, Michel, El-Hadi Zahzah, & Ahmad Shahin. (1996). <title>Mass functions assessment: case of multiple hypothesis for the evidential approach</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2955. 214–218. 1 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.

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