J. D. Boissonnat

936 citations
18 papers · 393 · h-index 9

Impact in

Papers in

J. D. Boissonnat

17 papers receiving 364 citations

Peers

J. D. Boissonnat
Comparison fields: 5 of 52
  • Computer Graphics and Computer-Aided Design 136
  • Computer Vision and Pattern Recognition 255
  • Aerospace Engineering 144
  • Control and Systems Engineering 114
  • Industrial and Manufacturing Engineering 28
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S. Sifrony United States
A. Lin United States
Amir Schorr Israel
Hazel Everett Canada
Shigemi Nagata Japan
P. Whaite Canada
Chanderjit L. Bajaj United States
Evan C. Sherbrooke United States
Dominique Michelucci France
Liya Li China
J. D. Boissonnat relative to S. Sifrony United States S. Sifrony's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. D. Boissonnat

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Boissonnat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. D. Boissonnat. 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 J. D. Boissonnat. The network helps show where J. D. Boissonnat may publish in the future.

Co-authors

The 15 scholars most cited alongside J. D. Boissonnat, 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 J. D. Boissonnat Line = papers co-authored together J. D. Boissonnat links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2002110
2 199879
3 200361
4 198444
5 198625
6
Triangulation of 3-D objects
198113
7 200211
8 200310
9 20169
10 19908
11 20038
12 19897
13 19854
14 20021
15
Manipulation automatique de pièces industrielles en vrac planaire
19841
16 20031
17 20051
18 20030

About J. D. Boissonnat

J. D. Boissonnat is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering and Signal Processing, having authored 18 papers that have together received 393 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (13 papers), Robotics and Sensor-Based Localization (4 papers), Digital Image Processing Techniques (3 papers), Robotic Path Planning Algorithms (3 papers), Data Management and Algorithms (3 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced Vision and Imaging (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (136 citations), Computer Vision and Pattern Recognition (255 citations), Aerospace Engineering (144 citations), Control and Systems Engineering (114 citations) and Industrial and Manufacturing Engineering (28 citations). J. D. Boissonnat has collaborated with scholars based in France, United States and Greece. Frequent co-authors include Xuan-Nam Bui, Jean‐Paul Laumond, Philippe Souères, Mariette Yvinec, Olivier Faugeras, Micha Sharir, Juliette Leblond, Monique Teillaud, Martial Hebert and Bernhard Geiger. Their work appears in journals such as Discrete & Computational Geometry, Journal of Symbolic Computation, Procedia Engineering, Computer Vision Graphics and Image Processing and HAL (Le Centre pour la Communication Scientifique Directe).

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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