Pascal Vallet
Impact in
- Signal Processing top 2%
- Direction-of-Arrival Estimation Techniques
- Statistics and Probability top 2%
- Random Matrices and Applications
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
Papers in
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- Direction-of-Arrival Estimation Techniques 18
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- Random Matrices and Applications 15
- Statistical Methods and Inference 6
- Statistical Methods and Applications 1
- Co-authors
- Philippe Loubaton (26 shared papers)Xavier Mestre (22 shared papers)Walid Hachem (8 shared papers)Jamal Najım (5 shared papers)Audrey Giremus (2 shared papers)Éric Grivel (3 shared papers)Guillaume Ginolhac (3 shared papers)Guillaume Ferré (1 shared paper)
In The Last Decade
Pascal Vallet
37 papers receiving 500 citations
Peers
Comparison fields: 5 of 32
- Signal Processing 277
- Statistics and Probability 148
- Computational Mathematics 2
- Aerospace Engineering 68
- Computer Networks and Communications 26
Countries citing papers authored by Pascal Vallet
This map shows the geographic impact of Pascal Vallet'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 Pascal Vallet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Vallet more than expected).
Fields of papers citing papers by Pascal Vallet
This network shows the impact of papers produced by Pascal Vallet. 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 Pascal Vallet. The network helps show where Pascal Vallet may publish in the future.
Co-authors
The 11 scholars most cited alongside Pascal Vallet, 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 | Performance Analysis of an Improved MUSIC DoA Estimator | 2015 | 119 |
| 2 | 2012 | 57 | |
| 3 | 2011 | 46 | |
| 4 | 2012 | 30 | |
| 5 | 2013 | 27 | |
| 6 | 2011 | 26 | |
| 7 | 2014 | 26 | |
| 8 | 2020 | 25 | |
| 9 | 2017 | 24 | |
| 10 | 2015 | 23 | |
| 11 | 2017 | 22 | |
| 12 | 2015 | 12 | |
| 13 | 2012 | 8 | |
| 14 | 2009 | 7 | |
| 15 | A CLT for the G-MUSIC DoA Estimator | 2012 | 7 |
| 16 | 2011 | 6 | |
| 17 | 2011 | 5 | |
| 18 | 2012 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2020 | 4 |
About Pascal Vallet
Pascal Vallet is a scholar working on Signal Processing, Statistics and Probability, Aerospace Engineering, Computer Networks and Communications and Computational Mechanics, having authored 38 papers that have together received 516 indexed citations. Recurring topics across this work include Direction-of-Arrival Estimation Techniques (18 papers), Random Matrices and Applications (15 papers), Radar Systems and Signal Processing (7 papers), Statistical Methods and Inference (6 papers), Distributed Sensor Networks and Detection Algorithms (2 papers), Sparse and Compressive Sensing Techniques (1 paper), Statistical Methods and Applications (1 paper) and Advanced MIMO Systems Optimization (1 paper). The work is most often cited by research in Signal Processing (277 citations), Statistics and Probability (148 citations), Computational Mathematics (2 citations), Aerospace Engineering (68 citations) and Computer Networks and Communications (26 citations). Pascal Vallet has collaborated with scholars based in France, Spain and Italy. Frequent co-authors include Philippe Loubaton, Xavier Mestre, Walid Hachem, Jamal Najım, Audrey Giremus, Éric Grivel, Guillaume Ginolhac, Guillaume Ferré, Romain Couillet and Frédéric Pascal. Their work appears in journals such as IEEE Transactions on Signal Processing, Journal of Multivariate Analysis, IEEE Transactions on Information Theory, Electronic Journal of Statistics and Electronic Journal of Probability.
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.