Random Matrix Theory
Random Matrix Theory is a mathematical framework within probability theory and statistical physics that studies the eigenvalue and eigenvector distributions of matrices whose entries are random variables, distinguishing it from classical matrix analysis by focusing on universal statistical properties emerging in the limit of large matrix dimensions.
5.9K
Publications
401.1K
Citations
6.2K
Authors
1.9K
Institutions
Publications per year
2017–2026
1.1K
Variants
Rmt
5.9K
1–5 of 5.9K
6.2K
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1–5 of 6.2K
1.9K

Centre National de la Recherche Scientifique
Paris, France
62 h-index
525 publications
37.2K citations
Université Paris-Sud
Orsay, France
42 h-index
181 publications
12.2K citations
Stony Brook University
Stony Brook, United States
42 h-index
110 publications
11.7K citations
Princeton University
Princeton, United States
42 h-index
129 publications
14.4K citations
Stanford University
Stanford, United States
42 h-index
189 publications
39.8K citations
Yale University
New Haven, United States
40 h-index
119 publications
10.7K citations

University of Duisburg-Essen
Essen, Germany
39 h-index
153 publications
10.8K citations
Harvard University
Cambridge, United States
39 h-index
114 publications
9.1K citations
1–8 of 1.9K
PRL · 321 publications · 32.9K citations
95
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155 publications · 8K citations
53
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PRE · 148 publications · 6.8K citations
47
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92 publications · 11.1K citations
47
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98 publications · 9.4K citations
47
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