Yohan Dupuis

1.5k citations
43 papers · 976 · h-index 11

Impact in

Papers in

Yohan Dupuis

36 papers receiving 952 citations

Peers

Yohan Dupuis
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 400
  • Human-Computer Interaction 68
  • Automotive Engineering 128
  • Aerospace Engineering 233
  • Physical Therapy, Sports Therapy and Rehabilitation 39
Replace Xiaoli Meng with:
Xiaoli Meng China
Rémi Boutteau France
Pascal Vasseur France
Xavier Savatier France
Max Donath United States
Pei Zhang United States
Jingtai Liu China
Alex Mouzakitis United Kingdom
Jaeheung Park South Korea
C. Karen Liu United States
Yohan Dupuis relative to Xiaoli Meng China Xiaoli Meng's profile →
Citations per field
00.5×2.7×
Xiaoli Meng · 1×
Citations per year

Countries citing papers authored by Yohan Dupuis

Since Specialization
Citations

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

Fields of papers citing papers by Yohan Dupuis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Yohan Dupuis, 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 Yohan Dupuis Line = papers co-authored together Yohan Dupuis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017300
2 2016191
3 2022120
4 202272
5 202254
6 201353
7 202242
8 201721
9 201213
10 201012
11 202210
12 20229
13 20118
14 20148
15 20176
16 20106
17 20165
18 20145
19 20224
20
A New Tool to Evaluate Safety of Crossroad
20104

About Yohan Dupuis

Yohan Dupuis is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, Automotive Engineering and Biomedical Engineering, having authored 43 papers that have together received 976 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (12 papers), Video Surveillance and Tracking Methods (11 papers), Advanced Image and Video Retrieval Techniques (8 papers), Advanced Vision and Imaging (7 papers), Indoor and Outdoor Localization Technologies (7 papers), Autonomous Vehicle Technology and Safety (6 papers), Gait Recognition and Analysis (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (400 citations), Human-Computer Interaction (68 citations), Automotive Engineering (128 citations), Aerospace Engineering (233 citations) and Physical Therapy, Sports Therapy and Rehabilitation (39 citations). Yohan Dupuis has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Pascal Vasseur, Pierre Merriaux, Xavier Savatier, Rémi Boutteau, Peggy Subirats, David Baudry, Vincent Havard, Paul Honeiné, Varun Ravi Kumar and Hazem Rashed. Their work appears in journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems, Applied Intelligence, Robotica and Pattern Analysis and Applications.

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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