Jérôme Darbon

4.0k citations
58 papers · 2.5k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Jérôme Darbon

55 papers receiving 2.3k citations

Hit Papers

Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing 2008 · 986 citations
9862008202620142020250500750

Peers

Jérôme Darbon
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 1.1k
  • Computational Mechanics 1.0k
  • Media Technology 242
  • Numerical Analysis 139
  • Computational Mathematics 15
Replace Christoph Schnörr with:
Christoph Schnörr Germany
Yilun Wang China
Xavier Bresson Switzerland
Zongben Xu China
Yunmei Chen United States
Dimitry Gorinevsky United States
Huazhong Shu China
Lixin Shen United States
Joachim Weickert Germany
David H. Eberly United States
Jérôme Darbon relative to Christoph Schnörr Germany Christoph Schnörr's profile →
Citations per field
00.5×1.5×2.4×
Christoph Schnörr · 1×
Citations per year

Countries citing papers authored by Jérôme Darbon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Jérôme Darbon Line = papers co-authored together Jérôme Darbon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20247
4 20241
5 20245
6 20241
7 202316
8 202210
9 20222
10
On the Convergence and generalization of Physics Informed Neural Networks.
202033
11 202042
12 20152
13 20149
14 200914
15 200978
16 200987
17 2008202
18 20085
19 2006207
20
GENERIC IMPLEMENTATION OF MORPHOLOGICAL IMAGE OPERATORS
20026

About Jérôme Darbon

Jérôme Darbon is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Numerical Analysis and Statistical and Nonlinear Physics, having authored 58 papers that have together received 2.5k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (14 papers), Image and Signal Denoising Methods (11 papers), Medical Image Segmentation Techniques (10 papers), Model Reduction and Neural Networks (10 papers), Image Retrieval and Classification Techniques (7 papers), Numerical methods in inverse problems (5 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers) and Soil erosion and sediment transport (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 Computational Mathematics (15 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, Erdem Yörük, Ender Konukoğlu, Tony F. Chan, Antonin Chambolle and Alexandre Cunha. Their work appears in journals such as Journal of Mathematical Imaging and Vision, SIAM Journal on Scientific Computing, Journal of Computational Physics, IEEE Transactions on Image Processing and Research in the Mathematical 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.

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