Nicolas Perrin-Gilbert

934 citations
39 papers · 640 · h-index 13

Impact in

Papers in

Nicolas Perrin-Gilbert

38 papers receiving 624 citations

Peers

Nicolas Perrin-Gilbert
Comparison fields: 5 of 53
  • Biomedical Engineering 348
  • Control and Systems Engineering 124
  • Artificial Intelligence 147
  • Computer Vision and Pattern Recognition 90
  • Speech and Hearing 13
Replace Guoyu Zuo with:
Guoyu Zuo China
Christophe Sabourin France
Daoxiong Gong China
Benjamin J. Stephens United States
Emo Todorov United States
Debora Clever Germany
Silvio Traversaro Italy
Holger Diedam Germany
Oscar E. Ramos Peru
Nicolas Perrin-Gilbert relative to Guoyu Zuo China Guoyu Zuo's profile →
Citations per field
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Guoyu Zuo · 1×
Citations per year

Countries citing papers authored by Nicolas Perrin-Gilbert

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Perrin-Gilbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Perrin-Gilbert. 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 Nicolas Perrin-Gilbert. The network helps show where Nicolas Perrin-Gilbert may publish in the future.

Co-authors

The 25 scholars most cited alongside Nicolas Perrin-Gilbert, 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 Nicolas Perrin-Gilbert Line = papers co-authored together Nicolas Perrin-Gilbert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010106
2 201186
3 202054
4 201843
5 201139
6 201639
7 201225
8 201822
9 202222
10 200921
11 201116
12 201215
13 201414
14 201313
15 201612
16 201010
17 201310
18 202010
19 20119
20 20119

About Nicolas Perrin-Gilbert

Nicolas Perrin-Gilbert is a scholar working on Biomedical Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Speech and Hearing, having authored 39 papers that have together received 640 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (16 papers), Reinforcement Learning in Robotics (10 papers), Robotic Path Planning Algorithms (6 papers), Evolutionary Algorithms and Applications (3 papers), Formal Methods in Verification (3 papers), Control Systems and Identification (1 paper), Teleoperation and Haptic Systems (1 paper) and semigroups and automata theory (1 paper). The work is most often cited by research in Biomedical Engineering (348 citations), Control and Systems Engineering (124 citations), Artificial Intelligence (147 citations), Computer Vision and Pattern Recognition (90 citations) and Speech and Hearing (13 citations). Nicolas Perrin-Gilbert has collaborated with scholars based in France, Japan and Italy. Frequent co-authors include Olivier Stasse, Florent Lamiraux, Pierre-Brice Wieber, Andrei Herdt, Eiichi Yoshida, Olivier Sigaud, Darwin G. Caldwell, Nikos G. Tsagarakis, Stéphane Doncieux and Alexandre Coninx. Their work appears in journals such as IEEE Transactions on Robotics, Springer tracts in advanced robotics, Advanced Robotics, PLoS ONE and Systems & Control Letters.

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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