André Ferrari

972 citations
47 papers · 657 · h-index 13

Impact in

Papers in

    • Sparse and Compressive Sensing Techniques 12
    • Advanced Adaptive Filtering Techniques 5
    • Remote-Sensing Image Classification 8
    • Advanced Image Fusion Techniques 5

André Ferrari

44 papers receiving 644 citations

Peers

André Ferrari
Comparison fields: 5 of 68
  • Instrumentation 113
  • Astronomy and Astrophysics 233
  • Media Technology 104
  • Signal Processing 80
  • Computational Mechanics 113
Replace A. Ferrari with:
A. Ferrari France
Bobby R. Hunt United States
Keir Mierle Canada
Aiyuan Yang Germany
Masakazu Morimoto Japan
Marianna Ivashina Sweden
Shu‐Ming Tseng Taiwan
Jui Lin Yen Canada
Albert‐Jan Boonstra Netherlands
Paula Tarrío Alonso Spain
André Ferrari relative to A. Ferrari France A. Ferrari's profile →
Citations per field
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A. Ferrari · 1×
Citations per year

Countries citing papers authored by André Ferrari

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201193
2 200781
3 201651
4 201750
5 201644
6 200942
7 201635
8 201533
9 201521
10 201319
11 201816
12 202215
13 199313
14 201013
15 200712
16 201410
17 20139
18 20158
19 20147
20 20057

About André Ferrari

André Ferrari is a scholar working on Computational Mechanics, Media Technology, Astronomy and Astrophysics, Computer Vision and Pattern Recognition and Signal Processing, having authored 47 papers that have together received 657 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (12 papers), Image and Signal Denoising Methods (9 papers), Adaptive optics and wavefront sensing (8 papers), Remote-Sensing Image Classification (8 papers), Stellar, planetary, and galactic studies (7 papers), Advanced Adaptive Filtering Techniques (5 papers), Advanced Image Fusion Techniques (5 papers) and Control Systems and Identification (4 papers). The work is most often cited by research in Instrumentation (113 citations), Astronomy and Astrophysics (233 citations), Media Technology (104 citations), Signal Processing (80 citations) and Computational Mechanics (113 citations). André Ferrari has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Cédric Richard, Claude J. Aime, Rémi Soummer, Ali Sayed, Roula Nassif, Laurent P. Jolissaint, David Mary, Marcel Carbillet, R. Douet and F. Vakili. Their work appears in journals such as IEEE Transactions on Signal Processing, The Astrophysical Journal, Comptes Rendus Physique, Computers & Mathematics with Applications 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.

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