Audrey Repetti

32 papers receiving 534 citations

Peers

Audrey Repetti
Comparison fields: 5 of 58
  • Computational Mechanics 325
  • Numerical Analysis 69
  • Computational Mathematics 7
  • Computer Vision and Pattern Recognition 196
  • Mathematical Physics 81
Replace Anil N. Hirani with:
Anil N. Hirani United States
Marco Prato Italy
Marc Arnaudon France
Gabriele Steidl Germany
U. von Matt United States
Riccardo March Italy
D. Picard France
Jeffrey Humpherys United States
James Damon United States
Elisabeth Rouy France
Audrey Repetti relative to Anil N. Hirani United States Anil N. Hirani's profile →
Citations per field
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Anil N. Hirani · 1×
Citations per year

Countries citing papers authored by Audrey Repetti

Since Specialization
Citations

This map shows the geographic impact of Audrey Repetti'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 Audrey Repetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Audrey Repetti more than expected).

Fields of papers citing papers by Audrey Repetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Audrey Repetti. 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 Audrey Repetti. The network helps show where Audrey Repetti may publish in the future.

Co-authors

The 25 scholars most cited alongside Audrey Repetti, 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 Audrey Repetti Line = papers co-authored together Audrey Repetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013124
2 201689
3 201478
4 202162
5 201655
6 202023
7 201721
8 202214
9 202113
10 201813
11 201911
12 201410
13 20158
14 20247
15 20216
16 20195
17 20045
18 20224
19 20174
20 20203

About Audrey Repetti

Audrey Repetti is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Biomedical Engineering, Astronomy and Astrophysics and Aerospace Engineering, having authored 35 papers that have together received 573 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (18 papers), Radio Astronomy Observations and Technology (10 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Optical measurement and interference techniques (5 papers), Numerical methods in inverse problems (5 papers), Image and Signal Denoising Methods (5 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Computational Mechanics (325 citations), Numerical Analysis (69 citations), Computational Mathematics (7 citations), Computer Vision and Pattern Recognition (196 citations) and Mathematical Physics (81 citations). Audrey Repetti has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Jean‐Christophe Pesquet, Émilie Chouzenoux, Yves Wiaux, Matthieu Terris, Laurent Duval, Arwa Dabbech, Rafael E. Carrillo, Jason D. McEwen, Jean‐Philippe Thiran and R. A. Perley. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, SIAM Journal on Imaging Sciences, IEEE Signal Processing Letters, Journal of Optimization Theory and Applications and Journal of Global Optimization.

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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