Jérôme Darbon
Impact in
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- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
- Computational Mechanics top 1%
- Sparse and Compressive Sensing Techniques
Papers in
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- Image and Signal Denoising Methods 11
- Medical Image Segmentation Techniques 10
- Image Retrieval and Classification Techniques 7
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- Sparse and Compressive Sensing Techniques 14
- Co-authors
- Stanley Osher (9 shared papers)Wotao Yin (4 shared papers)Donald Goldfarb (1 shared paper)Marc Sigelle (8 shared papers)Bülent Sankur (4 shared papers)Ender Konukoğlu (2 shared papers)Erdem Yörük (2 shared papers)Tony F. Chan (2 shared papers)
- Journals
- Journal of Computational Physics (3 papers)SIAM Journal on Scientific Computing (3 papers)Journal of Mathematical Imaging and Vision (3 papers)Image and Vision Computing (2 papers)SIAM Journal on Imaging Sciences (2 papers)
- Partner nations
- United StatesFranceTürkiye
In The Last Decade
Jérôme Darbon
56 papers receiving 2.4k citations
Jérôme Darbon's Hit Papers
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 1.1k
- Computational Mechanics 1.0k
- Media Technology 242
- Numerical Analysis 139
- Mathematical Physics 228
Countries citing papers authored by Jérôme Darbon
This map shows the geographic impact of Jérôme Darbon'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 Jérôme Darbon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Darbon more than expected).
Fields of papers citing papers by Jérôme Darbon
This network shows the impact of papers produced by Jérôme Darbon. 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 Jérôme Darbon. The network helps show where Jérôme Darbon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jérôme Darbon, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing Hit paper breakdown → | 2008 | 988 |
| 2 | 2006 | 208 | |
| 3 | 2008 | 205 | |
| 4 | 2006 | 148 | |
| 5 | 2009 | 86 | |
| 6 | 2016 | 85 | |
| 7 | 2014 | 80 | |
| 8 | 2009 | 78 | |
| 9 | 2006 | 65 | |
| 10 | 2020 | 62 | |
| 11 | 2020 | 45 | |
| 12 | 2011 | 41 | |
| 13 | On the Convergence and generalization of Physics Informed Neural Networks. | 2020 | 33 |
| 14 | 2009 | 33 | |
| 15 | 2019 | 32 | |
| 16 | 2017 | 29 | |
| 17 | 2002 | 28 | |
| 18 | 2023 | 18 | |
| 19 | Unified Texture Management for Arbitrary Meshes | 2004 | 18 |
| 20 | 2012 | 17 |
About Jérôme Darbon
Jérôme Darbon is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Statistical and Nonlinear Physics, Artificial Intelligence and Aerospace Engineering, having authored 60 papers that have together received 2.5k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (14 papers), Model Reduction and Neural Networks (11 papers), Image and Signal Denoising Methods (11 papers), Medical Image Segmentation Techniques (10 papers), Image Retrieval and Classification Techniques (7 papers), Numerical methods in inverse problems (5 papers), Advanced Optimization Algorithms Research (4 papers) and Hydrology and Sediment Transport Processes (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Computational Mechanics (1.0k citations), Media Technology (242 citations), Numerical Analysis (139 citations) and Mathematical Physics (228 citations). Jérôme Darbon has collaborated with scholars based in United States, France and Türkiye. Frequent co-authors include Stanley Osher, Wotao Yin, Donald Goldfarb, Marc Sigelle, Bülent Sankur, Ender Konukoğlu, Erdem Yörük, Tony F. Chan, Antonin Chambolle and Grant J. Jensen. Their work appears in journals such as Journal of Computational Physics, SIAM Journal on Scientific Computing, Journal of Mathematical Imaging and Vision, Image and Vision Computing and SIAM Journal on Imaging Sciences.
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.