Frédéric Pascal
- Signal Processing top 1%
- Direction-of-Arrival Estimation Techniques 31
- Aerospace Engineering top 1%
- Radar Systems and Signal Processing 36
- Advanced SAR Imaging Techniques 15
- Media Technology top 1%
- Statistics and Probability top 1%
- Advanced Statistical Methods and Models 19
- Random Matrices and Applications 8
- Statistical Methods and Inference 8
- Computational Mechanics top 2%
- Advanced Numerical Methods in Computational Mathematics 10
- Computational Fluid Dynamics and Aerodynamics 8
- Co-authors
- Jean‐Philippe OvarlezOhannes A. KarakashianPhilippe ForsterYacine ChitourP. LarzabalJean‐Yves TourneretJean‐Michel GhidagliaGabriel Vasile
In The Last Decade
Frédéric Pascal
87 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 82
- Signal Processing 493
- Aerospace Engineering 911
- Media Technology 285
- Statistics and Probability 268
- Computational Mechanics 575
Countries citing papers authored by Frédéric Pascal
This map shows the geographic impact of Frédéric Pascal'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 Frédéric Pascal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Pascal more than expected).
Fields of papers citing papers by Frédéric Pascal
This network shows the impact of papers produced by Frédéric Pascal. 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 Frédéric Pascal. The network helps show where Frédéric Pascal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frédéric Pascal, 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 | 2024 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2019 | 4 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 8 | |
| 8 | 2017 | 4 | |
| 9 | 2015 | 13 | |
| 10 | 2015 | 28 | |
| 11 | 2015 | 34 | |
| 12 | 2014 | 6 | |
| 13 | Robust M-Estimation for Array Processing: A Random Matrix Approach | 2012 | 7 |
| 14 | 2012 | 0 | |
| 15 | 2011 | 8 | |
| 16 | 2011 | 9 | |
| 17 | 2011 | 101 | |
| 18 | 2008 | 18 | |
| 19 | Existence and Characterization of the Covariance Matrix Maximum Likelihood Estimate in Spherically Invariant Random Processes | 2007 | 5 |
| 20 | 2001 | 9 |
About Frédéric Pascal
Frédéric Pascal is a scholar working on Statistics and Probability, Signal Processing and Aerospace Engineering, having authored 91 papers that have together received 2.0k indexed citations. Recurring topics across this work include Radar Systems and Signal Processing (36 papers), Direction-of-Arrival Estimation Techniques (31 papers), Advanced Statistical Methods and Models (19 papers), Advanced SAR Imaging Techniques (15 papers), Advanced Numerical Methods in Computational Mathematics (10 papers), Random Matrices and Applications (8 papers), Statistical Methods and Inference (8 papers) and Computational Fluid Dynamics and Aerodynamics (8 papers). The work is most often cited by research in Signal Processing (493 citations), Aerospace Engineering (911 citations) and Media Technology (285 citations). Frédéric Pascal has collaborated with scholars based in France, Hong Kong and Singapore. Frequent co-authors include Jean‐Philippe Ovarlez, Ohannes A. Karakashian, Philippe Forster, Yacine Chitour, P. Larzabal, Jean‐Yves Tourneret, Jean‐Michel Ghidaglia, Gabriel Vasile, Guillaume Ginolhac and Marc Lesturgie. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Aerospace and Electronic Systems, Signal Processing, SIAM Journal on Numerical Analysis and IEEE Signal Processing Letters.
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.