Branching Processes

Branching Processes is a type of stochastic process that models the growth and extinction of populations in which each individual independently generates offspring according to a fixed probability distribution.

2.7K

Publications

127K

Citations

9.8K

Authors

1.4K

Institutions

Publications per year

2017–2026

211

Authors

9.8K

  1. JD
    J. D. Biggins

    University of Sheffield, United Kingdom

    27 publications · 2.1K citations

    22

    h-index

  2. PJ
    Peter Jagers

    Chalmers University of Technology, Sweden

    30 publications · 1.2K citations

    21

    h-index

  3. VV
    Vladimir Vatutin

    Steklov Mathematical Institute, Russia

    50 publications · 1.1K citations

    20

    h-index

  4. AG
    Anthony G. Pakes

    The University of Western Australia, Australia

    42 publications · 983 citations

    19

    h-index

  5. FC
    Fima C. Klebaner

    Monash University, Australia

    26 publications · 771 citations

    18

    h-index

1–5 of 9.8K

Venues

  1. The Annals of Probability

    136 publications · 9.9K citations

    53

    h-index

  2. Advances in Applied Probability

    AAP · 165 publications · 6.5K citations

    42

    h-index

  3. Journal of Applied Probability

    JAP · 252 publications · 7.3K citations

    40

    h-index

  4. Stochastic Processes and their Applications

    103 publications · 3.6K citations

    34

    h-index

  5. Probability Theory and Related Fields

    51 publications · 2.9K citations

    34

    h-index

1–5