Jacques‐Olivier Lachaud
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Computational Theory and Mathematics top 10%
- Aerospace Engineering
- Co-authors
- Annick MontanvertDavid CœurjollyDominique AttaliBertrand KerautretBoris ThibertBenjamin TatonSrečko BrlekChristophe Reutenauer
- Topics
- Digital Image Processing Techniques (34 papers)Medical Image Segmentation Techniques (22 papers)3D Shape Modeling and Analysis (16 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Jacques‐Olivier Lachaud
44 papers receiving 459 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 343
- Computational Mechanics 181
- Computer Graphics and Computer-Aided Design 163
- Computational Theory and Mathematics 60
- Aerospace Engineering 37
Countries citing papers authored by Jacques‐Olivier Lachaud
This map shows the geographic impact of Jacques‐Olivier Lachaud'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 Jacques‐Olivier Lachaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques‐Olivier Lachaud more than expected).
Fields of papers citing papers by Jacques‐Olivier Lachaud
This network shows the impact of papers produced by Jacques‐Olivier Lachaud. 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 Jacques‐Olivier Lachaud. The network helps show where Jacques‐Olivier Lachaud may publish in the future.
Co-authorship network of co-authors of Jacques‐Olivier Lachaud
This figure shows the co-authorship network connecting the top 25 collaborators of Jacques‐Olivier Lachaud. A scholar is included among the top collaborators of Jacques‐Olivier Lachaud based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacques‐Olivier Lachaud. Jacques‐Olivier Lachaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 12 | |
| 13 | 1 | |
| 14 | 12 | |
| 15 | 19 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 29 | |
| 19 | 1 | |
| 20 | 80 |
About Jacques‐Olivier Lachaud
Jacques‐Olivier Lachaud is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 48 papers that have together received 483 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (34 papers), Medical Image Segmentation Techniques (22 papers) and 3D Shape Modeling and Analysis (16 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (163 citations), Computer Vision and Pattern Recognition (343 citations) and Computational Mechanics (181 citations). Jacques‐Olivier Lachaud has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Annick Montanvert, David Cœurjolly, Dominique Attali, Bertrand Kerautret, Boris Thibert, Benjamin Taton, Srečko Brlek, Christophe Reutenauer, Fabien Feschet and Édouard Oudet. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters and Medical Image Analysis.
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.