Pascal Vallet

673 total citations
23 papers, 336 citations indexed

About

Pascal Vallet is a scholar working on Signal Processing, Statistics and Probability and Computational Mechanics. According to data from OpenAlex, Pascal Vallet has authored 23 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 9 papers in Statistics and Probability and 6 papers in Computational Mechanics. Recurrent topics in Pascal Vallet's work include Direction-of-Arrival Estimation Techniques (8 papers), Random Matrices and Applications (8 papers) and Blind Source Separation Techniques (6 papers). Pascal Vallet is often cited by papers focused on Direction-of-Arrival Estimation Techniques (8 papers), Random Matrices and Applications (8 papers) and Blind Source Separation Techniques (6 papers). Pascal Vallet collaborates with scholars based in France, Spain and Hong Kong. Pascal Vallet's co-authors include Philippe Loubaton, Xavier Mestre, Jamal Najım, Walid Hachem, Walid Hachem, Francisco R. Rubio, Hoang Nga Nguyen, Guillaume Ginolhac and Audrey Giremus and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and Journal of Multivariate Analysis.

In The Last Decade

Pascal Vallet

19 papers receiving 321 citations

Peers

Pascal Vallet

EEE

Salvatore Iommelli Italy

Arnaud Breloy France

Swagata Nandi India

Dennis Amelunxen Germany

G. Sidhu Canada

N.B. Pulsone United States

K. James Sangston United States

G. Tartara Italy

Gerard T. Capraro United States

Josep Sala-Álvarez Spain

Salvatore Iommelli Italy

Pascal Vallet

141 ×0.8

20 ×0.2

288 ×2.8

46 ×0.7

EEE

15 ×0.3

Citations per year, relative to Pascal Vallet Pascal Vallet (= 1×) peers Salvatore Iommelli

Countries citing papers authored by Pascal Vallet

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Pascal Vallet

This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Vallet. A scholar is included among the top collaborators of Pascal Vallet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pascal Vallet. Pascal Vallet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Vallet, Pascal, et al.. (2024). A New Statistic for Testing Covariance Equality in High-Dimensional Gaussian Low-Rank Models. IEEE Transactions on Signal Processing. 72. 1797–1812.

Loubaton, Philippe, et al.. (2022). On the asymptotic distribution of the maximum sample spectral coherence of Gaussian time series in the high dimensional regime. Journal of Multivariate Analysis. 194. 105124–105124. 3 indexed citations

Vallet, Pascal, et al.. (2020). On The Frequency Domain Detection of High Dimensional Time Series. arXiv (Cornell University). 32. 8782–8786. 3 indexed citations

Mestre, Xavier & Pascal Vallet. (2017). Correlation Tests and Linear Spectral Statistics of the Sample Correlation Matrix. IEEE Transactions on Information Theory. 63(7). 4585–4618. 19 indexed citations

Vallet, Pascal & Philippe Loubaton. (2017). On the Performance of MUSIC With Toeplitz Rectification in the Context of Large Arrays. IEEE Transactions on Signal Processing. 65(22). 5848–5859. 19 indexed citations

Vallet, Pascal, Philippe Loubaton, & Xavier Mestre. (2016). Une méthode MUSIC adaptée aux grands réseaux de capteurs. Traitement du signal. 33(2-3). 249–272. 1 indexed citations

Loubaton, Philippe, et al.. (2015). Performance analysis of spatial smoothing schemes in the context of large arrays. arXiv (Cornell University). 37. 2824–2828. 12 indexed citations

Vallet, Pascal, Xavier Mestre, & Philippe Loubaton. (2015). Performance Analysis of an Improved MUSIC DoA Estimator. HAL (Le Centre pour la Communication Scientifique Directe). 104 indexed citations

Hachem, Walid, Xavier Mestre, & Pascal Vallet. (2014). Correlation Test For High Dimensional Data With Application To Signal Detection In Sensor Networks. Zenodo (CERN European Organization for Nuclear Research). 2165–2169. 2 indexed citations

10.

Hachem, Walid, Philippe Loubaton, Jamal Najım, & Pascal Vallet. (2013). On bilinear forms based on the resolvent of large random matrices. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 49(1). 20 indexed citations

11.

Hachem, Walid, Philippe Loubaton, Xavier Mestre, Jamal Najım, & Pascal Vallet. (2012). A subspace estimator for fixed rank perturbations of large random matrices. Journal of Multivariate Analysis. 114. 427–447. 24 indexed citations

12.

Mestre, Xavier, Francisco R. Rubio, & Pascal Vallet. (2012). Improved estimation of the logarithm of the covariance matrix. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 377–380. 6 indexed citations

13.

Vallet, Pascal, Philippe Loubaton, & Xavier Mestre. (2012). Improved Subspace Estimation for Multivariate Observations of High Dimension: The Deterministic Signals Case. IEEE Transactions on Information Theory. 58(2). 1043–1068. 45 indexed citations

14.

Hachem, Walid, Philippe Loubaton, Xavier Mestre, Jamal Najım, & Pascal Vallet. (2011). LARGE INFORMATION PLUS NOISE RANDOM MATRIX MODELS AND CONSISTENT SUBSPACE ESTIMATION IN LARGE SENSOR NETWORKS. Random Matrices Theory and Application. 1(2). 1150006–1150006. 23 indexed citations

15.

Loubaton, Philippe & Pascal Vallet. (2011). Almost Sure Localization of the Eigenvalues in a Gaussian Information Plus Noise Model. Application to the Spiked Models.. Electronic Journal of Probability. 16(none). 33 indexed citations

16.

Vallet, Pascal, Philippe Loubaton, & Xavier Mestre. (2009). Improved subspace DoA estimation methods with large arrays: The deterministic signals case. 27. 2137–2140. 6 indexed citations

17.

Vallet, Pascal, et al.. (2007). "Faire ou ne pas faire confiance aux gestionnaires du risque? Le cas d'un village entouré de sites Seveso". Revue TEM (Territoire en Mouvement). 70–82. 2 indexed citations

18.

Vallet, Pascal, et al.. (2006). Un village bien tranquille... Vivre à Mardyck, à proximité d'usines " Seveso ". HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

19.

Nguyen, Hoang Nga, et al.. (2003). A pragmatic approach to the automation of the logic design process. 262–266.

20.

Nguyen, Hoang Nga, et al.. (2002). The structured logic CAD suite used on the DPS7000 system. 464–467. 1 indexed citations

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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