Random Matrices

Random Matrices is a mathematical framework in probabilistic combinatorics that consists of matrices whose entries are random variables, distinguished by their use in modeling stochastic structures and analyzing the probabilistic behavior of eigenvalues, determinants, and other matrix properties under randomness.

4.1K

Publications

314.6K

Citations

4.4K

Authors

1.5K

Institutions

Publications per year

2017–2026

598

Authors

4.4K

  1. PJ
    Peter J. Forrester

    The University of Melbourne, Australia

    58 publications · 2.9K citations

    28

    h-index

  2. LE
    László Erdős

    Institute of Science and Technology Austria, Austria

    46 publications · 3.3K citations

    26

    h-index

  3. VV
    Van Vu

    University of California, Los Angeles, United States

    38 publications · 4.2K citations

    26

    h-index

  4. YV
    Yan V. Fyodorov

    Petersburg Nuclear Physics Institute, Russia

    37 publications · 3.3K citations

    25

    h-index

  5. HY
    Horng‐Tzer Yau

    Harvard University, United States

    34 publications · 3.1K citations

    24

    h-index

1–5 of 4.4K

Venues

  1. Physical Review Letters

    PRL · 120 publications · 17.5K citations

    63

    h-index

  2. Journal of Physics A Mathematical and General

    125 publications · 7.1K citations

    49

    h-index

  3. Communications in Mathematical Physics

    99 publications · 8.7K citations

    47

    h-index

  4. The Annals of Probability

    82 publications · 7.1K citations

    40

    h-index

  5. Probability Theory and Related Fields

    63 publications · 4.2K citations

    38

    h-index

1–5