Carl Frélicot

68 total papers · 989 total citations
27 papers, 469 citations indexed

About

Carl Frélicot is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Carl Frélicot has authored 27 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Computational Theory and Mathematics. Recurrent topics in Carl Frélicot's work include Fuzzy Logic and Control Systems (9 papers), Neural Networks and Applications (7 papers) and Rough Sets and Fuzzy Logic (7 papers). Carl Frélicot is often cited by papers focused on Fuzzy Logic and Control Systems (9 papers), Neural Networks and Applications (7 papers) and Rough Sets and Fuzzy Logic (7 papers). Carl Frélicot collaborates with scholars based in France, Romania and United Arab Emirates. Carl Frélicot's co-authors include Alexis Joly, Olivier Buisson, Thierry Bouwmans, Caroline Silva, M. Sami Zitouni, Harish Bhaskar, Michel Berthier, Caroline Silva, François Lebourgeois and Thomas Batard and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.

In The Last Decade

Carl Frélicot

25 papers receiving 442 citations

Author Peers

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

Author Last Decade Papers Cites
Carl Frélicot 365 120 56 45 16 27 469
Fujin Zhong 343 0.9× 111 0.9× 82 1.5× 90 2.0× 11 0.7× 20 482
Jean-Yves Ramel 335 0.9× 132 1.1× 60 1.1× 26 0.6× 8 0.5× 45 430
Jing Li 310 0.8× 181 1.5× 58 1.0× 18 0.4× 19 1.2× 17 482
Jean-François Paiement 209 0.6× 121 1.0× 103 1.8× 23 0.5× 6 0.4× 13 448
Xiaodong Wang 333 0.9× 242 2.0× 28 0.5× 55 1.2× 5 0.3× 32 469
Chong Peng 315 0.9× 209 1.7× 38 0.7× 101 2.2× 10 0.6× 18 460
Chaoqun Hong 366 1.0× 208 1.7× 36 0.6× 68 1.5× 5 0.3× 15 538
James Petterson 241 0.7× 264 2.2× 37 0.7× 44 1.0× 9 0.6× 15 461
Olivier Bachem 207 0.6× 287 2.4× 76 1.4× 12 0.3× 9 0.6× 25 436
Jidong Zhao 312 0.9× 243 2.0× 19 0.3× 49 1.1× 9 0.6× 17 442

Countries citing papers authored by Carl Frélicot

Since Specialization
Citations

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

Fields of papers citing papers by Carl Frélicot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Frélicot

This figure shows the co-authorship network connecting the top 25 collaborators of Carl Frélicot. A scholar is included among the top collaborators of Carl Frélicot 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 Carl Frélicot. Carl Frélicot 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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2026