Large Deviations

Large Deviations is a branch of probability theory that characterizes the exponential decay rates of probabilities of rare events deviating significantly from the expected behavior in sequences of stochastic processes.

2.9K

Publications

164.5K

Citations

4.1K

Authors

1.3K

Institutions

Publications per year

2017–2026

454

Authors

4.1K

  1. SN
    Satya N. Majumdar

    Centre National de la Recherche Scientifique, France

    33 publications · 2K citations

    25

    h-index

  2. PD
    Paul Dupuis

    Brown University, United States

    29 publications · 2.5K citations

    23

    h-index

  3. HT
    Hugo Touchette

    Queen Mary University of London, United Kingdom

    20 publications · 3.4K citations

    18

    h-index

  4. OZ
    Ofer Zeitouni

    Technion – Israel Institute of Technology, Israel

    21 publications · 4.9K citations

    16

    h-index

  5. AG
    Alice Guionnet

    École Normale Supérieure de Lyon, France

    16 publications · 1.1K citations

    14

    h-index

1–5 of 4.1K

Venues

  1. The Annals of Probability

    167 publications · 9.7K citations

    53

    h-index

  2. Physical Review Letters

    PRL · 70 publications · 6.9K citations

    47

    h-index

  3. Probability Theory and Related Fields

    114 publications · 5.3K citations

    43

    h-index

  4. Stochastic Processes and their Applications

    127 publications · 5.2K citations

    37

    h-index

  5. Journal of Statistical Physics

    79 publications · 3.6K citations

    34

    h-index

1–5