Frédéric Fol Leymarie
- Computer Vision and Pattern Recognition top 1%
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Co-authors
- Martin D. LevineBenjamin B. KimiaWilliam LathamMing‐Ching ChangSylvain CalinonGlenn E. SmithOlivier JametMartha Sharp Joukowsky
- Topics
- Computer Graphics and Visualization Techniques (15 papers)3D Shape Modeling and Analysis (12 papers)Aesthetic Perception and Analysis (8 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSpace and Planetary Science
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Frédéric Fol Leymarie
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 849
- Computational Mechanics 196
- Computer Graphics and Computer-Aided Design 196
- Aerospace Engineering 129
- Artificial Intelligence 101
Countries citing papers authored by Frédéric Fol Leymarie
This map shows the geographic impact of Frédéric Fol Leymarie'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 Frédéric Fol Leymarie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Fol Leymarie more than expected).
Fields of papers citing papers by Frédéric Fol Leymarie
This network shows the impact of papers produced by Frédéric Fol Leymarie. 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 Frédéric Fol Leymarie. The network helps show where Frédéric Fol Leymarie may publish in the future.
Co-authorship network of co-authors of Frédéric Fol Leymarie
This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Fol Leymarie. A scholar is included among the top collaborators of Frédéric Fol Leymarie 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 Frédéric Fol Leymarie. Frédéric Fol Leymarie 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 | 2 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 25 | |
| 13 | 29 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 13 | |
| 17 | 18 | |
| 18 | 5 | |
| 19 | 3 | |
| 20 | 397 |
About Frédéric Fol Leymarie
Frédéric Fol Leymarie is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Space and Planetary Science, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (15 papers), 3D Shape Modeling and Analysis (12 papers) and Aesthetic Perception and Analysis (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (196 citations), Computer Vision and Pattern Recognition (849 citations) and Space and Planetary Science (25 citations). Frédéric Fol Leymarie has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Martin D. Levine, Benjamin B. Kimia, William Latham, Ming‐Ching Chang, Sylvain Calinon, Glenn E. Smith, Olivier Jamet, Martha Sharp Joukowsky, P. J. Giblin and David H. Laidlaw. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.