Stéphane Viollet

2.3k citations
95 papers · 1.8k · h-index 23

Impact in

Papers in

Stéphane Viollet

91 papers receiving 1.7k citations

Peers

Stéphane Viollet
Comparison fields: 5 of 92
  • Aerospace Engineering 685
  • Computer Vision and Pattern Recognition 484
  • Cellular and Molecular Neuroscience 344
  • Media Technology 171
  • Instrumentation 52
Replace Franck Ruffier with:
Franck Ruffier France
Dezhi Zheng China
Jinkui Chu China
Jean‐Christophe Zufferey Switzerland
Guido C. H. E de Croon Netherlands
Koichi Hashimoto Japan
Ryad Benjamin Benosman France
Chiara Bartolozzi Italy
Noah J. Cowan United States
Sawyer B. Fuller United States
Stéphane Viollet relative to Franck Ruffier France Franck Ruffier's profile →
Citations per field
00.5×1.5×1.8×
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 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013297
2 2019136
3 201898
4 200375
5 201960
6 202155
7 201752
8 201938
9 201736
10 201135
11 201233
12 200431
13 201030
14 200629
15 201129
16 201429
17 199928
18 200628
19 201427
20 201026

About Stéphane Viollet

Stéphane Viollet is a scholar working on Aerospace Engineering, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition, Biomedical Engineering and Media Technology, having authored 95 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (26 papers), Biomimetic flight and propulsion mechanisms (23 papers), Robotics and Sensor-Based Localization (20 papers), Advanced Vision and Imaging (14 papers), CCD and CMOS Imaging Sensors (12 papers), Insect and Arachnid Ecology and Behavior (10 papers), Optical Wireless Communication Technologies (9 papers) and Robotic Locomotion and Control (8 papers). The work is most often cited by research in Aerospace Engineering (685 citations), Computer Vision and Pattern Recognition (484 citations), Cellular and Molecular Neuroscience (344 citations), Media Technology (171 citations) and Instrumentation (52 citations). Stéphane Viollet has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Nicolas H. Franceschini, Julien Serres, Franck Ruffier, Julien Dupeyroux, Fabien Expert, Raphaël Juston, Hanspeter A. Mallot, Robert Leitel, Dario Floreano and Mohsine Menouni. Their work appears in journals such as Sensors, Journal of Experimental Biology, Bioinspiration & Biomimetics, Scientific Reports and Journal of Mechanical Design.

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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