Antonin Chambolle
- Computer Vision and Pattern Recognition top 0.2%
- Computational Mechanics top 0.1%
- Computational Theory and Mathematics top 0.1%
- Mathematical Physics top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Co-authors
- Thomas PockPierre‐Louis LionsBlaise BourdinBradley J. LucierDaniel CremersNam Yong LeeCh. DossalMatteo Novaga
- Topics
- Advanced Mathematical Modeling in Engineering (44 papers)Sparse and Compressive Sensing Techniques (30 papers)Numerical methods in inverse problems (27 papers)
In The Last Decade
Antonin Chambolle
130 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Computer Vision and Pattern Recognition 3.8k
- Computational Mechanics 3.7k
- Computational Theory and Mathematics 1.9k
- Mathematical Physics 1.5k
- Radiology, Nuclear Medicine and Imaging 1000
Countries citing papers authored by Antonin Chambolle
This map shows the geographic impact of Antonin Chambolle'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 Antonin Chambolle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonin Chambolle more than expected).
Fields of papers citing papers by Antonin Chambolle
This network shows the impact of papers produced by Antonin Chambolle. 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 Antonin Chambolle. The network helps show where Antonin Chambolle may publish in the future.
Co-authorship network of co-authors of Antonin Chambolle
This figure shows the co-authorship network connecting the top 25 collaborators of Antonin Chambolle. A scholar is included among the top collaborators of Antonin Chambolle 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 Antonin Chambolle. Antonin Chambolle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 46 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 12 | |
| 10 | 17 | |
| 11 | 14 | |
| 12 | 6 | |
| 13 | 12 | |
| 14 | 11 | |
| 15 | 5 | |
| 16 | An introduction to total variation for image analysis | 2 |
| 17 | 25 | |
| 18 | 17 | |
| 19 | 101 | |
| 20 | 28 |
About Antonin Chambolle
Antonin Chambolle is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics, having authored 134 papers that have together received 8.9k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (44 papers), Sparse and Compressive Sensing Techniques (30 papers) and Numerical methods in inverse problems (27 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.8k citations), Computational Mechanics (3.7k citations) and Mathematical Physics (1.5k citations). Antonin Chambolle has collaborated with scholars based in France, Italy and Austria. Frequent co-authors include Thomas Pock, Pierre‐Louis Lions, Blaise Bourdin, Bradley J. Lucier, Daniel Cremers, Nam Yong Lee, Ch. Dossal, Matteo Novaga, Vicent Caselles and Horst Bischof. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of the Mechanics and Physics of Solids 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.