Didier Auroux

676 citations
34 papers · 397 · h-index 11

Impact in

Papers in

Didier Auroux

34 papers receiving 366 citations

Peers

Didier Auroux
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
Replace Luisa D’Amore with:
Luisa D’Amore Italy
Leland Jameson United States
A. S. Vasudeva Murthy India
M.D. Eaton United Kingdom
Ludovic Métivier France
Nikola Kovachki United States
Troy Butler United States
Jodi Mead United States
Mark A. Lukas Australia
Arvind K. Saibaba United States
Didier Auroux relative to Luisa D’Amore Italy Luisa D’Amore's profile →
Citations per field
00.5×1.5×2.2×
Luisa D’Amore · 1×
Citations per year

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200877
2 200553
3 200733
4 200629
5 200025
6 201121
7 200820
8 200817
9 201012
10 200712
11 200812
12 201510
13 201110
14 20067
15 20117
16 20087
17 20096
18 20106
19
Some Numerical Experiments on Scaling and Updating L-BFGS Diagonal Preconditioners
20005
20 20074

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), Digital Image Processing Techniques (4 papers), Oceanographic and Atmospheric Processes (4 papers), Image and Signal Denoising Methods (4 papers), Advanced Numerical Analysis Techniques (4 papers) and Topology Optimization in Engineering (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, Tunisia and United Kingdom. Frequent co-authors include Janice S. Blum, Jacques Blum, Mohamed Masmoudi, Maëlle Nodet, Mohamed Masmoudi, Michael Fisher, G. Caille, Jérôme Fehrenbach, Malek Masmoudi and Emmanuel Cosme. Their work appears in journals such as Comptes Rendus Mathématique, Discrete and Continuous Dynamical Systems - S, Mathematical and Computer Modelling, SIAM Journal on Imaging Sciences and Mathematical Methods in the Applied 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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