Stéphane Redon

48 papers receiving 1.1k citations

Peers

Stéphane Redon
Comparison fields: 5 of 102
  • Computer Graphics and Computer-Aided Design 279
  • Computer Vision and Pattern Recognition 521
  • Human-Computer Interaction 119
  • Control and Systems Engineering 286
  • Aerospace Engineering 184
Replace Thierry Siméon with:
Thierry Siméon France
Yusuke Suzuki Japan
John W. Poulton United States
Neil Weste Australia
Bhaskar Dasgupta India
Achintya K. Bhowmik United States
V. Michael Bove United States
Takashi Tsubouchi Japan
 Huang United States
Léonard Jaillet France
Stéphane Redon relative to Thierry Siméon France Thierry Siméon's profile →
Citations per field
00.5×4.0×
Thierry Siméon · 1×
Citations per year

Countries citing papers authored by Stéphane Redon

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Redon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002181
2 200790
3 200588
4 200478
5 200761
6 200559
7 200749
8 201445
9 201738
10 200530
11 201226
12 201625
13 200425
14 200625
15 201024
16 200724
17 200423
18 200221
19 200717
20 201116

About Stéphane Redon

Stéphane Redon is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Molecular Biology, Computer Graphics and Computer-Aided Design and Materials Chemistry, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (14 papers), Protein Structure and Dynamics (12 papers), Human Motion and Animation (7 papers), Robot Manipulation and Learning (5 papers), Computer Graphics and Visualization Techniques (5 papers), Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (279 citations), Computer Vision and Pattern Recognition (521 citations), Human-Computer Interaction (119 citations), Control and Systems Engineering (286 citations) and Aerospace Engineering (184 citations). Stéphane Redon has collaborated with scholars based in France, United States and South Korea. Frequent co-authors include Sabine Coquillart, Young J. Kim, Ming C. Lin, Abderrahmane Kheddar, Dinesh Manocha, Léonard Jaillet, Sergei Grudinin, Michaël Ortega, Nico Galoppo and Markus Reiher. Their work appears in journals such as Journal of Computational Chemistry, ACM Transactions on Graphics, Computer Graphics Forum, Journal of Computer-Aided Molecular Design and Journal of Molecular Graphics and Modelling.

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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