André Ferrari
- Instrumentation top 5%
- Media Technology top 5%
- Remote-Sensing Image Classification 7
- Advanced Image Fusion Techniques 5
- Astronomy and Astrophysics top 10%
- Stellar, planetary, and galactic studies 7
- Signal Processing top 10%
- Computational Mechanics top 10%
- Sparse and Compressive Sensing Techniques 10
- Advanced Adaptive Filtering Techniques 4
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- Adaptive optics and wavefront sensing 7
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- Image and Signal Denoising Methods 7
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- Advanced Statistical Methods and Models 4
- Co-authors
- Cédric RichardAli H. SayedRoula NassifC. AiméRémi SoummerLaurent JolıssaıntDavid MaryJean‐Yves Tourneret
- Journals
- IEEE Transactions on Signal Processing (4 papers)The Astrophysical Journal (3 papers)Signal Processing Image Communication (1 paper)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
André Ferrari
35 papers receiving 500 citations
Peers
Comparison fields: 5 of 62
- Instrumentation 79
- Media Technology 95
- Astronomy and Astrophysics 155
- Signal Processing 76
- Computational Mechanics 99
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 9 | |
| 2 | 2018 | 4 | |
| 3 | 2017 | 45 | |
| 4 | 2016 | 34 | |
| 5 | 2016 | 1 | |
| 6 | 2014 | 0 | |
| 7 | 2014 | 3 | |
| 8 | 2014 | 7 | |
| 9 | 2014 | 4 | |
| 10 | 2013 | 7 | |
| 11 | Sparsity-based composite detection tests. application to astrophysical hyperspectral data | 2011 | 5 |
| 12 | 2010 | 1 | |
| 13 | 2009 | 4 | |
| 14 | 2009 | 32 | |
| 15 | 2007 | 11 | |
| 16 | 2007 | 67 | |
| 17 | 2005 | 3 | |
| 18 | 2002 | 2 | |
| 19 | Étude statistique de la détection d'exo-planètes en imagerie courte pose | 2001 | 0 |
| 20 | 1993 | 12 |
About André Ferrari
André Ferrari is a scholar working on Media Technology, Instrumentation and Computational Mechanics, having authored 38 papers that have together received 510 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Adaptive optics and wavefront sensing (7 papers), Image and Signal Denoising Methods (7 papers), Stellar, planetary, and galactic studies (7 papers), Remote-Sensing Image Classification (7 papers), Advanced Image Fusion Techniques (5 papers), Advanced Adaptive Filtering Techniques (4 papers) and Advanced Statistical Methods and Models (4 papers). The work is most often cited by research in Instrumentation (79 citations), Media Technology (95 citations) and Astronomy and Astrophysics (155 citations). André Ferrari has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Cédric Richard, Ali H. Sayed, Roula Nassif, C. Aimé, Rémi Soummer, Laurent Jolıssaınt, David Mary, Jean‐Yves Tourneret, Lotfi Chaâri and Anand Sivaramakrishnan. Their work appears in journals such as IEEE Transactions on Signal Processing, The Astrophysical Journal, Signal Processing Image Communication, Comptes Rendus Physique and IEEE Transactions on Image Processing.
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.