Vincent Leroy
- Computer Vision and Pattern Recognition top 10%
- Materials Chemistry
- Organic Chemistry
- Aerospace Engineering
- Mechanical Engineering
- Co-authors
- David J. HartPhilippe WeinzaepfelDavid G. YoungJérôme RevaudBoris ChidlovskiiJean-Sébastien FrancoThomas G. LucasVaibhav Arora
- Topics
- Advanced Vision and Imaging (5 papers)Human Pose and Action Recognition (3 papers)3D Shape Modeling and Analysis (3 papers)
- Cited by
- Metals and AlloysComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Partner nations
- South KoreaFranceUnited States
In The Last Decade
Vincent Leroy
12 papers receiving 142 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 59
- Materials Chemistry 42
- Organic Chemistry 33
- Aerospace Engineering 26
- Mechanical Engineering 22
Countries citing papers authored by Vincent Leroy
This map shows the geographic impact of Vincent Leroy'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 Vincent Leroy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Leroy more than expected).
Fields of papers citing papers by Vincent Leroy
This network shows the impact of papers produced by Vincent Leroy. 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 Vincent Leroy. The network helps show where Vincent Leroy may publish in the future.
Co-authorship network of co-authors of Vincent Leroy
This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Leroy. A scholar is included among the top collaborators of Vincent Leroy 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 Vincent Leroy. Vincent Leroy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 39 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 23 | |
| 12 | 43 | |
| 13 | Ferritic stainless alloys containing titanium and molybdenum as major alloying additions | 1 |
About Vincent Leroy
Vincent Leroy is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Pharmaceutical Science, having authored 13 papers that have together received 160 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Human Pose and Action Recognition (3 papers) and 3D Shape Modeling and Analysis (3 papers). The work is most often cited by research in Metals and Alloys (13 citations), Computer Vision and Pattern Recognition (59 citations) and Computer Graphics and Computer-Aided Design (5 citations). Vincent Leroy has collaborated with scholars based in South Korea, France and United States. Frequent co-authors include David J. Hart, Philippe Weinzaepfel, David G. Young, Jérôme Revaud, Boris Chidlovskii, Jean-Sébastien Franco, Thomas G. Lucas, Vaibhav Arora, Gabriela Csurka and Yohann Cabon. Their work appears in journals such as The Journal of Organic Chemistry, Tetrahedron and International Journal of Computer Vision.
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.