André Ferrari
Impact in
- Instrumentation top 5%
- Astronomy and Astrophysical Research
- Media Technology top 5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Papers in
-
- Sparse and Compressive Sensing Techniques 10
- Advanced Adaptive Filtering Techniques 4
-
- Stellar, planetary, and galactic studies 7
- Co-authors
- Cédric Richard (13 shared papers)C. Aimé (8 shared papers)Ali H. Sayed (5 shared papers)Roula Nassif (5 shared papers)Rémi Soummer (6 shared papers)Laurent Jolıssaınt (2 shared papers)David Mary (9 shared papers)Jean‐Yves Tourneret (2 shared papers)
- Journals
- IEEE Transactions on Signal Processing (4 papers)The Astrophysical Journal (3 papers)Journal of the Optical Society of America A (1 paper)IEEE Transactions on Image Processing (1 paper)Bayesian Analysis (1 paper)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
André Ferrari
35 papers receiving 510 citations
Peers
Comparison fields: 5 of 62
- Instrumentation 80
- Media Technology 94
- Astronomy and Astrophysics 158
- Signal Processing 76
- Computational Mechanics 100
Countries citing papers authored by André Ferrari
This map shows the geographic impact of André Ferrari'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 André Ferrari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Ferrari more than expected).
Fields of papers citing papers by André Ferrari
This network shows the impact of papers produced by André Ferrari. 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 André Ferrari. The network helps show where André Ferrari may publish in the future.
Co-authors
The 25 scholars most cited alongside André Ferrari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 70 | |
| 2 | 2011 | 47 | |
| 3 | 2016 | 46 | |
| 4 | 2017 | 45 | |
| 5 | 2016 | 40 | |
| 6 | 2016 | 33 | |
| 7 | 2009 | 32 | |
| 8 | 2015 | 30 | |
| 9 | 2013 | 20 | |
| 10 | 2015 | 19 | |
| 11 | 2018 | 16 | |
| 12 | 2010 | 13 | |
| 13 | 1993 | 12 | |
| 14 | 2007 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2015 | 7 | |
| 17 | 2014 | 7 | |
| 18 | 2013 | 7 | |
| 19 | 2014 | 7 | |
| 20 | 2014 | 5 |
About André Ferrari
André Ferrari is a scholar working on Computational Mechanics, Astronomy and Astrophysics, Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics, having authored 38 papers that have together received 518 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Stellar, planetary, and galactic studies (7 papers), Adaptive optics and wavefront sensing (7 papers), Remote-Sensing Image Classification (7 papers), Image and Signal Denoising Methods (7 papers), Advanced Image Fusion Techniques (5 papers), Advanced Statistical Methods and Models (4 papers) and Advanced Adaptive Filtering Techniques (4 papers). The work is most often cited by research in Instrumentation (80 citations), Media Technology (94 citations), Astronomy and Astrophysics (158 citations), Signal Processing (76 citations) and Computational Mechanics (100 citations). André Ferrari has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Cédric Richard, C. Aimé, Ali H. Sayed, Roula Nassif, Rémi Soummer, Laurent Jolıssaınt, David Mary, Jean‐Yves Tourneret, Lotfi Chaâri and E.A. Galperin. Their work appears in journals such as IEEE Transactions on Signal Processing, The Astrophysical Journal, Journal of the Optical Society of America A, IEEE Transactions on Image Processing and Bayesian Analysis.
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.