Random Matrix Distributions
Random Matrix Distributions is a class of probability distributions that model the statistical behavior of matrices whose entries are random variables, distinguished by their focus on the joint distribution of eigenvalues, eigenvectors, and matrix invariants arising from symmetries in random matrix ensembles.
814
Publications
60.7K
Citations
1K
Authors
559
Institutions
Publications per year
2017–2026
88
Parents
814
1–5 of 814
1K
17
h-index
16
h-index
15
h-index
Centre National de la Recherche Scientifique, France
14 publications · 1.1K citations
14
h-index
13
h-index
1–5 of 1K
559

Centre National de la Recherche Scientifique
Paris, France
25 h-index
93 publications
4.5K citations
Université Paris-Sud
Orsay, France
21 h-index
58 publications
3K citations
Laboratoire de Physique Théorique et Modèles Statistiques
Orsay, France
18 h-index
44 publications
2K citations

University of Duisburg-Essen
Essen, Germany
17 h-index
45 publications
4K citations

University of Bristol
Bristol, United Kingdom
16 h-index
29 publications
908 citations
Harvard University
Cambridge, United States
15 h-index
26 publications
3.2K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
14 h-index
20 publications
2.5K citations
Stanford University
Stanford, United States
13 h-index
16 publications
4.1K citations
1–8 of 559
PRL · 34 publications · 3.3K citations
26
h-index
32 publications · 2.1K citations
23
h-index
28 publications · 3.2K citations
22
h-index
28 publications · 1.5K citations
21
h-index
PRE · 26 publications · 1.5K citations
19
h-index
1–5