Audrey Repetti
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 5%
- Astronomy and Astrophysics top 10%
- Biomedical Engineering
- Aerospace Engineering
- Co-authors
- Jean‐Christophe PesquetÉmilie ChouzenouxYves WiauxMatthieu TerrisLaurent DuvalArwa DabbechRafael E. CarrilloJason D. McEwen
- Topics
- Sparse and Compressive Sensing Techniques (18 papers)Radio Astronomy Observations and Technology (10 papers)Photoacoustic and Ultrasonic Imaging (7 papers)
- Journals
- Monthly Notices of the Royal Astronomical SocietyIEEE Transactions on Image ProcessingNeurocomputing
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Audrey Repetti
32 papers receiving 494 citations
Peers
Comparison fields: 5 of 55
- Computational Mechanics 305
- Computer Vision and Pattern Recognition 186
- Astronomy and Astrophysics 113
- Biomedical Engineering 84
- Aerospace Engineering 84
Countries citing papers authored by Audrey Repetti
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
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-authorship network of co-authors of Audrey Repetti
This figure shows the co-authorship network connecting the top 25 collaborators of Audrey Repetti. A scholar is included among the top collaborators of Audrey Repetti 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 Audrey Repetti. Audrey Repetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | A Faceted Prior for Scalable Wideband Imaging: Application to Radio Astronomy | 0 |
| 12 | 13 | |
| 13 | 1 | |
| 14 | Joint imaging and DDEs calibration for radio interferometry | 2 |
| 15 | 21 | |
| 16 | 4 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 113 | |
| 20 | 2 |
About Audrey Repetti
Audrey Repetti is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Astronomy and Astrophysics, having authored 35 papers that have together received 532 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (18 papers), Radio Astronomy Observations and Technology (10 papers) and Photoacoustic and Ultrasonic Imaging (7 papers). The work is most often cited by research in Computational Mechanics (305 citations), Numerical Analysis (63 citations) and Computer Vision and Pattern Recognition (186 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 Nelly Pustelnik. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, IEEE Transactions on Image Processing and Neurocomputing.
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.