Didier Auroux
- Mathematical Physics top 10%
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- Meteorological Phenomena and Simulations 11
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- Medical Image Segmentation Techniques 9
- Image and Signal Denoising Methods 4
- Digital Image Processing Techniques 4
- Computational Mechanics top 10%
- Advanced Numerical Analysis Techniques 4
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- Climate variability and models 7
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- Oceanographic and Atmospheric Processes 4
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- Reservoir Engineering and Simulation Methods 3
- Co-authors
- Janice S. BlumJacques BlumMohamed MasmoudiMaëlle NodetMichael FisherJérôme FehrenbachG. CailleMalek Masmoudi
- Journals
- Comptes Rendus Mathématique (2 papers)Mathematical Methods in the Applied Sciences (1 paper)Mathematical and Computer Modelling (1 paper)
- Partner nations
- FranceUnited KingdomTunisia
In The Last Decade
Didier Auroux
34 papers receiving 366 citations
Peers
Comparison fields: 5 of 61
- Mathematical Physics 63
- Atmospheric Science 101
- Computer Vision and Pattern Recognition 92
- Computational Theory and Mathematics 71
- Computational Mechanics 80
Countries citing papers authored by Didier Auroux
This map shows the geographic impact of Didier Auroux'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 Didier Auroux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Auroux more than expected).
Fields of papers citing papers by Didier Auroux
This network shows the impact of papers produced by Didier Auroux. 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 Didier Auroux. The network helps show where Didier Auroux may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Didier Auroux, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 3 | |
| 6 | 2017 | 1 | |
| 7 | 2016 | 1 | |
| 8 | 2015 | 10 | |
| 9 | 2014 | 1 | |
| 10 | 2011 | 10 | |
| 11 | 2010 | 6 | |
| 12 | 2010 | 3 | |
| 13 | 2009 | 3 | |
| 14 | 2009 | 6 | |
| 15 | 2008 | 17 | |
| 16 | 2008 | 2 | |
| 17 | 2006 | 7 | |
| 18 | 2006 | 29 | |
| 19 | 2005 | 53 | |
| 20 | 2000 | 25 |
About Didier Auroux
Didier Auroux is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science, Computational Mechanics, Global and Planetary Change and Oceanography, having authored 34 papers that have together received 397 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (11 papers), Medical Image Segmentation Techniques (9 papers), Climate variability and models (7 papers), Image and Signal Denoising Methods (4 papers), Oceanographic and Atmospheric Processes (4 papers), Digital Image Processing Techniques (4 papers), Advanced Numerical Analysis Techniques (4 papers) and Reservoir Engineering and Simulation Methods (3 papers). The work is most often cited by research in Mathematical Physics (63 citations), Atmospheric Science (101 citations), Computer Vision and Pattern Recognition (92 citations), Computational Theory and Mathematics (71 citations) and Computational Mechanics (80 citations). Didier Auroux has collaborated with scholars based in France, United Kingdom and Tunisia. Frequent co-authors include Janice S. Blum, Jacques Blum, Mohamed Masmoudi, Maëlle Nodet, Mohamed Masmoudi, Michael Fisher, Jérôme Fehrenbach, G. Caille, Malek Masmoudi and Laurent D. Cohen. Their work appears in journals such as Comptes Rendus Mathématique, Mathematical Methods in the Applied Sciences, Mathematical and Computer Modelling, SIAM Journal on Imaging Sciences and ESAIM Control Optimisation and Calculus of Variations.
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.