Jean‐Marc Lavest
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Media Technology top 5%
- Mechanical Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Michel DhomeEric RoyerMaxime LhuillierMengxiang LiG. RivesBenjamín van Wyk de VriesPierre RenaudNicolas Andreff
- Topics
- Advanced Vision and Imaging (15 papers)Optical measurement and interference techniques (14 papers)Robotics and Sensor-Based Localization (11 papers)
In The Last Decade
Jean‐Marc Lavest
26 papers receiving 808 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 548
- Aerospace Engineering 326
- Media Technology 132
- Mechanical Engineering 103
- Control and Systems Engineering 95
Countries citing papers authored by Jean‐Marc Lavest
This map shows the geographic impact of Jean‐Marc Lavest'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 Jean‐Marc Lavest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Marc Lavest more than expected).
Fields of papers citing papers by Jean‐Marc Lavest
This network shows the impact of papers produced by Jean‐Marc Lavest. 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 Jean‐Marc Lavest. The network helps show where Jean‐Marc Lavest may publish in the future.
Co-authorship network of co-authors of Jean‐Marc Lavest
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Marc Lavest. A scholar is included among the top collaborators of Jean‐Marc Lavest 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 Jean‐Marc Lavest. Jean‐Marc Lavest 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 | Towards a Learning Game Evaluation Methodology in a Training Context: a Literature Review | 4 |
| 3 | 15 | |
| 4 | 33 | |
| 5 | 1 | |
| 6 | 230 | |
| 7 | Body Mounted Vision System for Visually Impaired Outdoor and Indoor Wayfinding Assistance. | 24 |
| 8 | 77 | |
| 9 | 93 | |
| 10 | 2 | |
| 11 | 55 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 22 | |
| 15 | 5 | |
| 16 | 13 | |
| 17 | 101 | |
| 18 | 13 | |
| 19 | 58 | |
| 20 | 9 |
About Jean‐Marc Lavest
Jean‐Marc Lavest is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering, having authored 27 papers that have together received 848 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (15 papers), Optical measurement and interference techniques (14 papers) and Robotics and Sensor-Based Localization (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (548 citations), Geology (90 citations) and Media Technology (132 citations). Jean‐Marc Lavest has collaborated with scholars based in France, Spain and Sweden. Frequent co-authors include Michel Dhome, Eric Royer, Maxime Lhuillier, Mengxiang Li, G. Rives, Benjamín van Wyk de Vries, Pierre Renaud, Nicolas Andreff, Thierry Fournel and Habib Ben Aïssia. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and International Journal of Machine Tools and Manufacture.
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.