Éric Benoît

671 citations
54 papers · 346 · h-index 11

Impact in

Papers in

Éric Benoît

47 papers receiving 298 citations

Peers

Éric Benoît
Comparison fields: 5 of 88
  • Human-Computer Interaction 40
  • Statistical and Nonlinear Physics 69
  • Management Science and Operations Research 47
  • Computer Networks and Communications 72
  • Control and Systems Engineering 62
Replace Sajid M. Siddiqi with:
Sajid M. Siddiqi United States
Gökhan Bakır Germany
Michael M. Hoffmann Switzerland
Amir massoud Farahmand Canada
Jakub Konečný United Kingdom
Chun-hung Li Hong Kong
Tim Pattison Australia
Weiyu Zhang China
Éric Benoît relative to Sajid M. Siddiqi United States Sajid M. Siddiqi's profile →
Citations per field
00.5×10×14×
Sajid M. Siddiqi · 1×
Citations per year

Countries citing papers authored by Éric Benoît

Since Specialization
Citations

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

Fields of papers citing papers by Éric Benoît

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Éric Benoît, 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 Éric Benoît Line = papers co-authored together Éric Benoît links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199058
2 199436
3 199632
4 200116
5 201713
6 199512
7 200612
8 201412
9 200511
10 201310
11 200010
12 20139
13 20039
14 20158
15 20018
16 20038
17 19987
18 20057
19
A fuzzy colour sensor
19946
20 20065

About Éric Benoît

Éric Benoît is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 346 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (12 papers), Multi-Criteria Decision Making (9 papers), Hand Gesture Recognition Systems (7 papers), Robotics and Automated Systems (6 papers), AI-based Problem Solving and Planning (5 papers), Rough Sets and Fuzzy Logic (5 papers), Semantic Web and Ontologies (4 papers) and Robot Manipulation and Learning (4 papers). The work is most often cited by research in Human-Computer Interaction (40 citations), Statistical and Nonlinear Physics (69 citations), Management Science and Operations Research (47 citations), Computer Networks and Communications (72 citations) and Control and Systems Engineering (62 citations). Éric Benoît has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Laurent Foulloy, Gilles Mauris, Hideyuki Sawada, Mathieu Desroches, Virginie Lattard, Bogdan Ionescu, Didier Coquin, Morten Brøns, Martin Krupa and Jeffrey J. Siracuse. Their work appears in journals such as Measurement, Chaos Solitons & Fractals, IEEE Transactions on Instrumentation and Measurement, Bulletin de la Société mathématique de France and The Joint Commission Journal on Quality and Patient Safety.

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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