Continuous-time Branching Processes

Continuous-Time Branching Processes is a stochastic process in probability theory where each individual in a population independently generates offspring according to a specified branching mechanism at random times governed by exponential distributions, thereby modeling the evolution of populations in continuous time.

282

Publications

13.5K

Citations

305

Authors

199

Institutions

Publications per year

2017–2026

27

Authors

305

  1. ZL
    Zenghu Li

    Beijing Normal University, China

    11 publications · 445 citations

    10

    h-index

  2. VV
    Vladimir Vatutin

    Steklov Mathematical Institute, Russia

    7 publications · 133 citations

    7

    h-index

  3. DA
    Donald A. Dawson

    Carleton University, Canada

    6 publications · 260 citations

    6

    h-index

  4. ЕB
    Е. B. Yarovaya

    Lomonosov Moscow State University, Russia

    6 publications · 171 citations

    6

    h-index

  5. AG
    Anthony G. Pakes

    The University of Western Australia, Australia

    6 publications · 140 citations

    6

    h-index

1–5 of 305

Venues

  1. Journal of Applied Probability

    JAP · 32 publications · 1.1K citations

    20

    h-index

  2. Advances in Applied Probability

    AAP · 23 publications · 725 citations

    17

    h-index

  3. Stochastic Processes and their Applications

    21 publications · 998 citations

    16

    h-index

  4. The Annals of Probability

    18 publications · 1.2K citations

    15

    h-index

  5. Probability Theory and Related Fields

    15 publications · 872 citations

    14

    h-index

1–5