Stéphane Viollet

2.2k citations
76 papers · 1.4k · h-index 20

Impact in

Papers in

Stéphane Viollet

74 papers receiving 1.4k citations

Peers

Stéphane Viollet
Comparison fields: 5 of 91
  • Aerospace Engineering 499
  • Media Technology 153
  • Cellular and Molecular Neuroscience 295
  • Computer Vision and Pattern Recognition 324
  • Instrumentation 36
Replace Franck Ruffier with:
Franck Ruffier France
Jinkui Chu China
Lawrence B. Wolff United States
Koichi Hashimoto Japan
J. Sean Humbert United States
Noah J. Cowan United States
Julien Serres France
Edgar Lobatón United States
Sawyer B. Fuller United States
Hiromasa Oku Japan
Stéphane Viollet relative to Franck Ruffier France Franck Ruffier's profile →
Citations per field
00.5×3.3×
Franck Ruffier · 1×
Citations per year

Countries citing papers authored by Stéphane Viollet

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Viollet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013288
2 2019130
3 201892
4 201958
5 202153
6 201936
7 201736
8 201231
9 201429
10 201128
11 200627
12 200427
13 201425
14 199925
15 201125
16 200625
17 202222
18 201022
19 202022
20 200922

About Stéphane Viollet

Stéphane Viollet is a scholar working on Aerospace Engineering, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (21 papers), Biomimetic flight and propulsion mechanisms (19 papers), Robotics and Sensor-Based Localization (15 papers), Advanced Vision and Imaging (11 papers), CCD and CMOS Imaging Sensors (11 papers), Insect and Arachnid Ecology and Behavior (8 papers), Optical Wireless Communication Technologies (8 papers) and Robotic Locomotion and Control (6 papers). The work is most often cited by research in Aerospace Engineering (499 citations), Media Technology (153 citations), Cellular and Molecular Neuroscience (295 citations), Computer Vision and Pattern Recognition (324 citations) and Instrumentation (36 citations). Stéphane Viollet has collaborated with scholars based in France, Switzerland and Germany. Frequent co-authors include Julien Serres, Nicolas Franceschini, Julien Dupeyroux, Franck Ruffier, Raphaël Juston, Fabien Expert, Robert Leitel, Hanspeter A. Mallot, Dario Floreano and M. Menouni. Their work appears in journals such as Sensors, Journal of Experimental Biology, Scientific Reports, Bioinspiration & Biomimetics and Journal of The Royal Society Interface.

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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