Didier Auroux

676 total citations
34 papers, 397 citations indexed

About

Didier Auroux is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science and Computational Mechanics. According to data from OpenAlex, Didier Auroux has authored 34 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 11 papers in Atmospheric Science and 9 papers in Computational Mechanics. Recurrent topics in Didier Auroux's work include Meteorological Phenomena and Simulations (11 papers), Medical Image Segmentation Techniques (9 papers) and Climate variability and models (7 papers). Didier Auroux is often cited by papers focused on Meteorological Phenomena and Simulations (11 papers), Medical Image Segmentation Techniques (9 papers) and Climate variability and models (7 papers). Didier Auroux collaborates with scholars based in France, United Kingdom and Tunisia. Didier Auroux's 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 and has published in prestigious journals such as Monthly Weather Review, Physics of Plasmas and SIAM Journal on Control and Optimization.

In The Last Decade

Didier Auroux

34 papers receiving 366 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Didier Auroux France 11 101 92 81 80 71 34 397
Luisa D’Amore Italy 14 117 1.2× 48 0.5× 27 0.3× 71 0.9× 67 0.9× 56 472
Leland Jameson United States 14 65 0.6× 222 2.4× 26 0.3× 276 3.5× 41 0.6× 20 602
Nikola Kovachki United States 8 43 0.4× 34 0.4× 17 0.2× 97 1.2× 41 0.6× 12 518
A. S. Vasudeva Murthy India 12 33 0.3× 42 0.5× 31 0.4× 92 1.1× 38 0.5× 51 350
K. H. Phua United States 5 90 0.9× 14 0.2× 54 0.7× 106 1.3× 114 1.6× 6 461
Xiaoqun Cao China 13 210 2.1× 41 0.4× 152 1.9× 67 0.8× 7 0.1× 83 628
Troy Butler United States 15 121 1.2× 6 0.1× 83 1.0× 68 0.8× 92 1.3× 45 500
M.D. Eaton United Kingdom 12 60 0.6× 29 0.3× 23 0.3× 364 4.5× 51 0.7× 82 668
R. B. Simpson Canada 13 23 0.2× 65 0.7× 23 0.3× 356 4.5× 88 1.2× 30 705
Mark A. Lukas Australia 10 10 0.1× 54 0.6× 18 0.2× 126 1.6× 40 0.6× 25 533

Countries citing papers authored by Didier Auroux

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Didier Auroux

This figure shows the co-authorship network connecting the top 25 collaborators of Didier Auroux. A scholar is included among the top collaborators of Didier Auroux 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 Didier Auroux. Didier Auroux is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Auroux, Didier, et al.. (2024). Inverse problem for determining free parameters of a reduced turbulent transport model for tokamak plasma. Advances in Computational Mathematics. 50(3). 1 indexed citations
2.
Auroux, Didier, et al.. (2024). A robust, discrete-gradient descent procedure for optimisation with time-dependent PDE and norm constraints. SPIRE - Sciences Po Institutional REpository. 10. 1–28. 3 indexed citations
3.
Auroux, Didier, et al.. (2022). Back-and-forth nudging for the quasi-geostrophic ocean dynamics with altimetry: Theoretical convergence study and numerical experiments with the future SWOT observations. Discrete and Continuous Dynamical Systems - S. 16(2). 197–219. 1 indexed citations
4.
Auroux, Didier, et al.. (2022). Edge detection from X‐ray tomographic data for geometric image registration. Mathematical Methods in the Applied Sciences. 46(6). 6324–6358. 2 indexed citations
5.
6.
Auroux, Didier. (2017). Data assimilation for geophysical fluids. Annales de la faculté des sciences de Toulouse Mathématiques. 26(4). 767–793. 1 indexed citations
7.
Auroux, Didier & Vladimir Groza. (2016). Optimal parameters identification and sensitivity study for abrasive waterjet milling model. Inverse Problems in Science and Engineering. 25(11). 1560–1576. 1 indexed citations
8.
Ruggiero, Giovanni, Yann Ourmières, Emmanuel Cosme, et al.. (2015). Data assimilation experiments using diffusive back-and-forth nudging for the NEMO ocean model. Nonlinear processes in geophysics. 22(2). 233–248. 10 indexed citations
9.
10.
Auroux, Didier, Jacques Blum, & Maëlle Nodet. (2011). Diffusive Back and Forth Nudging algorithm for data assimilation. Comptes Rendus Mathématique. 349(15-16). 849–854. 10 indexed citations
11.
Auroux, Didier, et al.. (2010). Application of the Topological Gradient Method to Color Image Restoration. SIAM Journal on Imaging Sciences. 3(2). 153–175. 6 indexed citations
12.
Auroux, Didier, et al.. (2010). Application of the topological gradient method to tomography. HAL (Le Centre pour la Communication Scientifique Directe). Volume 13 - 2010 - Special.... 3 indexed citations
13.
Auroux, Didier. (2009). Extraction of velocity fields for geophysical fluids from a sequence of images. 75. 961–964. 3 indexed citations
14.
Auroux, Didier & Malek Masmoudi. (2009). Image processing by topological asymptotic analysis. ESAIM Proceedings. 26. 24–44. 6 indexed citations
15.
Auroux, Didier. (2008). From restoration by topological gradient to medical image segmentation via an asymptotic expansion. Mathematical and Computer Modelling. 49(11-12). 2191–2205. 17 indexed citations
16.
Auroux, Didier, et al.. (2008). An easy-to-implement and efficient data assimilation method for the identification of the initial condition: the Back and Forth Nudging (BFN) algorithm. Journal of Physics Conference Series. 135. 12011–12011. 2 indexed citations
17.
Auroux, Didier & Mohamed Masmoudi. (2006). A one-shot inpainting algorithm based on the topological asymptotic analysis. Computational and Applied Mathematics. 25(2-3). 7 indexed citations
18.
Auroux, Didier & Mohamed Masmoudi. (2006). A one-shot inpainting algorithm based on the topological asymptotic analysis. 25(2-3). 29 indexed citations
19.
Auroux, Didier & Jacques Blum. (2005). Back and forth nudging algorithm for data assimilation problems. Comptes Rendus Mathématique. 340(12). 873–878. 53 indexed citations
20.
Auroux, Didier, et al.. (2000). Limited-Memory BFGS Diagonal Preconditioners for a Data Assimilation Problem in Meteorology. Optimization and Engineering. 1(3). 323–339. 25 indexed citations

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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