Nicolas Charon
Impact in
- Geometry and Topology top 10%
- Morphological variations and asymmetry
Papers in
-
- 3D Shape Modeling and Analysis 13
- Sparse and Compressive Sensing Techniques 5
- Advanced Numerical Analysis Techniques 3
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- Image Processing and 3D Reconstruction 5
- Medical Image Segmentation Techniques 4
- Co-authors
- René Vidal (4 shared papers)Alain Trouvé (3 shared papers)Martin Bauer (10 shared papers)Benjamin Charlier (3 shared papers)Laurent Guillemot (1 shared paper)Lisa Kitasato (1 shared paper)I. Pop (1 shared paper)Helen McNeill (1 shared paper)
- Journals
- International Journal of Computer Vision (2 papers)Medical Image Analysis (2 papers)Journal of Nonlinear Science (1 paper)Nature Computational Science (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- United StatesFranceAustria
In The Last Decade
Nicolas Charon
32 papers receiving 243 citations
Peers
Comparison fields: 5 of 65
- Computational Mathematics 3
- Geometry and Topology 41
- Cell Biology 51
- Radiology, Nuclear Medicine and Imaging 64
- Ophthalmology 22
Countries citing papers authored by Nicolas Charon
This map shows the geographic impact of Nicolas Charon'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 Nicolas Charon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Charon more than expected).
Fields of papers citing papers by Nicolas Charon
This network shows the impact of papers produced by Nicolas Charon. 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 Nicolas Charon. The network helps show where Nicolas Charon may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Charon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 79 | |
| 2 | 2016 | 26 | |
| 3 | 2023 | 18 | |
| 4 | 2024 | 15 | |
| 5 | 2016 | 13 | |
| 6 | 2018 | 11 | |
| 7 | 2019 | 9 | |
| 8 | 2017 | 7 | |
| 9 | 2017 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2016 | 5 | |
| 16 | Une nouvelle approche pour la détection de cibles dans les images radar basée sur des distances et moyennes dans des espaces de matrices de covariance | 2009 | 3 |
| 17 | 2021 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2018 | 3 |
About Nicolas Charon
Nicolas Charon is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Geometry and Topology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 35 papers that have together received 247 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (13 papers), Morphological variations and asymmetry (12 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Sparse and Compressive Sensing Techniques (5 papers), Advanced MRI Techniques and Applications (5 papers), Image Processing and 3D Reconstruction (5 papers), Medical Image Segmentation Techniques (4 papers) and Advanced Numerical Analysis Techniques (3 papers). The work is most often cited by research in Computational Mathematics (3 citations), Geometry and Topology (41 citations), Cell Biology (51 citations), Radiology, Nuclear Medicine and Imaging (64 citations) and Ophthalmology (22 citations). Nicolas Charon has collaborated with scholars based in United States, France and Austria. Frequent co-authors include René Vidal, Alain Trouvé, Martin Bauer, Benjamin Charlier, Laurent Guillemot, Lisa Kitasato, I. Pop, Helen McNeill, Jean‐François Le Garrec and Marta Novotová. Their work appears in journals such as International Journal of Computer Vision, Medical Image Analysis, Journal of Nonlinear Science, Nature Computational Science and Frontiers in Neuroscience.
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.