David Mary
Impact in
- Instrumentation top 10%
- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 10%
- Stellar, planetary, and galactic studies
- Astrophysics and Star Formation Studies
- Astro and Planetary Science
Papers in
-
- Stellar, planetary, and galactic studies 15
- Astro and Planetary Science 7
- Co-authors
- André FerrariS. SulisLionel BigotSébastien BourguignonE. SlezakCédric RichardA. FerrariDirk Slock
- Journals
- Astronomy and Astrophysics (8 papers)IEEE Transactions on Signal Processing (4 papers)Solar Physics (1 paper)IEEE Transactions on Image Processing (1 paper)The Annals of Statistics (1 paper)
- Partner nations
- FranceUnited StatesIndia
In The Last Decade
David Mary
46 papers receiving 250 citations
Peers
Comparison fields: 5 of 41
- Instrumentation 45
- Astronomy and Astrophysics 117
- Media Technology 58
- Computational Mathematics 3
- Statistics and Probability 27
Countries citing papers authored by David Mary
This map shows the geographic impact of David Mary'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 David Mary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Mary more than expected).
Fields of papers citing papers by David Mary
This network shows the impact of papers produced by David Mary. 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 David Mary. The network helps show where David Mary may publish in the future.
Co-authors
The 25 scholars most cited alongside David Mary, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 9 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 3 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 4 | |
| 12 | 2019 | 3 | |
| 13 | 2018 | 15 | |
| 14 | 2016 | 1 | |
| 15 | 2014 | 4 | |
| 16 | 2014 | 0 | |
| 17 | 2014 | 24 | |
| 18 | 2014 | 3 | |
| 19 | Sparsity-based composite detection tests. application to astrophysical hyperspectral data | 2011 | 5 |
| 20 | 2004 | 1 |
About David Mary
David Mary is a scholar working on Instrumentation, Astronomy and Astrophysics, Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology, having authored 50 papers that have together received 264 indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (15 papers), Image and Signal Denoising Methods (13 papers), Sparse and Compressive Sensing Techniques (12 papers), Adaptive optics and wavefront sensing (8 papers), Astro and Planetary Science (7 papers), Blind Source Separation Techniques (6 papers), Advanced Data Compression Techniques (6 papers) and Remote-Sensing Image Classification (6 papers). The work is most often cited by research in Instrumentation (45 citations), Astronomy and Astrophysics (117 citations), Media Technology (58 citations), Computational Mathematics (3 citations) and Statistics and Probability (27 citations). David Mary has collaborated with scholars based in France, United States and India. Frequent co-authors include André Ferrari, S. Sulis, Lionel Bigot, Sébastien Bourguignon, E. Slezak, Cédric Richard, A. Ferrari, Dirk Slock, M. Bazot and O. Benomar. Their work appears in journals such as Astronomy and Astrophysics, IEEE Transactions on Signal Processing, Solar Physics, IEEE Transactions on Image Processing and The Annals of Statistics.
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.