Sandrine Péché

2.7k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Sandrine Péché is a scholar working on Statistics and Probability, Mathematical Physics and Discrete Mathematics and Combinatorics. According to data from OpenAlex, Sandrine Péché has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics and Probability, 22 papers in Mathematical Physics and 16 papers in Discrete Mathematics and Combinatorics. Recurrent topics in Sandrine Péché's work include Random Matrices and Applications (26 papers), Advanced Combinatorial Mathematics (16 papers) and Advanced Algebra and Geometry (12 papers). Sandrine Péché is often cited by papers focused on Random Matrices and Applications (26 papers), Advanced Combinatorial Mathematics (16 papers) and Advanced Algebra and Geometry (12 papers). Sandrine Péché collaborates with scholars based in France, United States and Switzerland. Sandrine Péché's co-authors include Gérard Ben Arous, Jinho Baik, Olivier Ledoit, Delphine Féral, Florent Benaych-Georges, László Erdős, Alexander Soshnikov, Benjamin Schlein, Horng‐Tzer Yau and José A. Ramı́rez and has published in prestigious journals such as Communications in Mathematical Physics, Communications on Pure and Applied Mathematics and Journal of Statistical Physics.

In The Last Decade

Sandrine Péché

27 papers receiving 1.2k citations

Hit Papers

Phase transition of the largest eigenvalue for nonnull co... 2005 2026 2012 2019 2005 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sandrine Péché France 15 1.0k 593 362 241 148 27 1.2k
Florent Benaych-Georges France 13 555 0.5× 285 0.5× 180 0.5× 99 0.4× 127 0.9× 35 754
Tiefeng Jiang United States 16 797 0.8× 415 0.7× 204 0.6× 294 1.2× 53 0.4× 46 1.1k
Vyacheslav L. Girko Ukraine 14 593 0.6× 411 0.7× 164 0.5× 112 0.5× 51 0.3× 88 974
Antti Knowles Switzerland 18 723 0.7× 607 1.0× 252 0.7× 121 0.5× 17 0.1× 34 1.0k
Bálint Virág Canada 15 667 0.7× 691 1.2× 292 0.8× 145 0.6× 16 0.1× 43 1.1k
Mariya Shcherbina Ukraine 13 420 0.4× 359 0.6× 152 0.4× 72 0.3× 16 0.1× 31 661
James A. Mingo Canada 11 343 0.3× 400 0.7× 144 0.4× 67 0.3× 23 0.2× 37 628
Gilles Schaeffer France 18 172 0.2× 505 0.9× 451 1.2× 195 0.8× 56 0.4× 46 970
Manjunath Krishnapur India 9 539 0.5× 454 0.8× 182 0.5× 113 0.5× 12 0.1× 15 859

Countries citing papers authored by Sandrine Péché

Since Specialization
Citations

This map shows the geographic impact of Sandrine Péché'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 Sandrine Péché with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandrine Péché more than expected).

Fields of papers citing papers by Sandrine Péché

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandrine Péché. 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 Sandrine Péché. The network helps show where Sandrine Péché may publish in the future.

Co-authorship network of co-authors of Sandrine Péché

This figure shows the co-authorship network connecting the top 25 collaborators of Sandrine Péché. A scholar is included among the top collaborators of Sandrine Péché 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 Sandrine Péché. Sandrine Péché is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Péché, Sandrine, et al.. (2021). Eigenvalue distribution of some nonlinear models of random matrices. Electronic Journal of Probability. 26(none). 4 indexed citations
2.
Edelman, Alan, Alice Guionnet, & Sandrine Péché. (2016). Beyond universality in random matrix theory. The Annals of Applied Probability. 26(3). 15 indexed citations
3.
Benaych-Georges, Florent & Sandrine Péché. (2015). Poisson Statistics for Matrix Ensembles at Large Temperature. Journal of Statistical Physics. 161(3). 633–656. 14 indexed citations
4.
Benaych-Georges, Florent & Sandrine Péché. (2014). Largest eigenvalues and eigenvectors of band or sparse random matrices. Electronic Communications in Probability. 19(none). 8 indexed citations
5.
Benaych-Georges, Florent & Sandrine Péché. (2014). Localization and delocalization for heavy tailed band matrices. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 50(4). 13 indexed citations
6.
Péché, Sandrine. (2012). Universality in the bulk of the spectrum for complex sample covariance matrices. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 48(1). 4 indexed citations
7.
Corwin, Ivan, Patrik L. Ferrari, & Sandrine Péché. (2010). Limit processes of non-equilibrium TASEP. arXiv (Cornell University). 4 indexed citations
8.
Ledoit, Olivier & Sandrine Péché. (2010). Eigenvectors of some large sample covariance matrix ensembles. Probability Theory and Related Fields. 151(1-2). 233–264. 105 indexed citations
9.
Erdős, László, Sandrine Péché, José A. Ramı́rez, Benjamin Schlein, & Horng‐Tzer Yau. (2010). Bulk universality for Wigner matrices. Communications on Pure and Applied Mathematics. 63(7). 895–925. 87 indexed citations
10.
Féral, Delphine & Sandrine Péché. (2009). The largest eigenvalues of sample covariance matrices for a spiked population: Diagonal case. Journal of Mathematical Physics. 50(7). 26 indexed citations
11.
Ledoit, Olivier & Sandrine Péché. (2009). Eigenvectors of Some Large Sample Covariance Matrices Ensembles. SSRN Electronic Journal. 16 indexed citations
12.
Péché, Sandrine & Alexander Soshnikov. (2008). On the lower bound of the spectral norm of symmetric random matrices with independent entries. Electronic Communications in Probability. 13(none). 11 indexed citations
13.
Péché, Sandrine, et al.. (2008). Airy Kernel with Two Sets of Parameters in Directed Percolation and Random Matrix Theory. Journal of Statistical Physics. 132(2). 275–290. 31 indexed citations
14.
Maïda, Mylène, Jamal Najım, & Sandrine Péché. (2007). Large deviations for weighted empirical mean with outliers. Stochastic Processes and their Applications. 117(10). 1373–1403. 4 indexed citations
15.
Péché, Sandrine & Alexander Soshnikov. (2007). Wigner Random Matrices with Non-Symmetrically Distributed Entries. Journal of Statistical Physics. 129(5-6). 857–884. 22 indexed citations
16.
Féral, Delphine & Sandrine Péché. (2007). The Largest Eigenvalue of Rank One Deformation of Large Wigner Matrices. Communications in Mathematical Physics. 272(1). 185–228. 96 indexed citations
17.
Péché, Sandrine. (2007). Universality at the Soft edge for some white sample covariance matrices ensembles. 1 indexed citations
18.
Péché, Sandrine. (2005). Non-white Wishart ensembles. Journal of Multivariate Analysis. 97(4). 874–894. 7 indexed citations
19.
Baik, Jinho, Gérard Ben Arous, & Sandrine Péché. (2005). Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices. The Annals of Probability. 33(5). 471 indexed citations breakdown →
20.
Arous, Gérard Ben & Sandrine Péché. (2004). Universality of local eigenvalue statistics for some sample covariance matrices. Communications on Pure and Applied Mathematics. 58(10). 1316–1357. 46 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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