Frédéric Jean

60 papers receiving 1.1k citations

Peers

Frédéric Jean
Comparison fields: 5 of 104
  • Geometry and Topology 141
  • Applied Mathematics 163
  • Physical Therapy, Sports Therapy and Rehabilitation 61
  • Computer Vision and Pattern Recognition 291
  • Control and Systems Engineering 292
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Yannick Berthoumieu France
Sebastian Kurtek United States
Ronen Talmon Israel
Zhijun Li China
B. Etkin Canada
Jean‐Marie Morvan France
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Citations per year

Countries citing papers authored by Frédéric Jean

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Jean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frédéric Jean, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frédéric Jean Line = papers co-authored together Frédéric Jean links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000121
2 2008106
3 201480
4 200663
5 201660
6 200957
7 199655
8 200854
9 200852
10 200433
11 200131
12 201630
13 202028
14 200128
15 202025
16 200521
17 201217
18 201817
19 201316
20 200316

About Frédéric Jean

Frédéric Jean is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Geometry and Topology and Applied Mathematics, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (14 papers), Control and Dynamics of Mobile Robots (13 papers), Motor Control and Adaptation (8 papers), Human Pose and Action Recognition (7 papers), Gait Recognition and Analysis (7 papers), Robotic Path Planning Algorithms (7 papers), Muscle activation and electromyography studies (7 papers) and Video Surveillance and Tracking Methods (7 papers). The work is most often cited by research in Geometry and Topology (141 citations), Applied Mathematics (163 citations), Physical Therapy, Sports Therapy and Rehabilitation (61 citations), Computer Vision and Pattern Recognition (291 citations) and Control and Systems Engineering (292 citations). Frédéric Jean has collaborated with scholars based in France, Canada and Kenya. Frequent co-authors include Bastien Berret, Alexandra Branzan Albu, Yacine Chitour, Robert Bergevin, Emmanuel Trélat, Laurent Chauvaud, Gérard Thouzeau, Olivier Ragueneau, C. Darlot and Charalambos Papaxanthis. Their work appears in journals such as SIAM Journal on Control and Optimization, ESAIM Control Optimisation and Calculus of Variations, PLoS Computational Biology, Springer tracts in advanced robotics and Lecture notes in control and information sciences.

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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