Galton-watson Trees

Galton-Watson Trees is a stochastic branching process model that represents a random genealogical tree generated by successive independent offspring distributions, distinguishing it from other tree models through its foundational assumption of individual reproduction independence and identical offspring laws across generations.

174

Publications

8.1K

Citations

213

Authors

165

Institutions

Publications per year

2017–2026

23

Variants

Bienaymé-galton-watson Trees

Authors

213

  1. SJ
    Svante Janson

    Uppsala University, Sweden

    9 publications · 550 citations

    9

    h-index

  2. TD
    Thomas Duquesne

    Sorbonne Université, France

    7 publications · 552 citations

    7

    h-index

  3. YP
    Yuval Peres

    Microsoft (United States), United States

    7 publications · 543 citations

    7

    h-index

  4. NG
    Nina Gantert

    Technical University of Munich, Germany

    6 publications · 174 citations

    6

    h-index

  5. PM
    Peter Mörters

    University of Bath, United Kingdom

    6 publications · 128 citations

    6

    h-index

1–5 of 213

Venues

  1. The Annals of Probability

    21 publications · 1.6K citations

    16

    h-index

  2. Electronic Journal of Probability

    EJP · 12 publications · 306 citations

    12

    h-index

  3. Journal of Applied Probability

    JAP · 13 publications · 389 citations

    12

    h-index

  4. Random Structures and Algorithms

    11 publications · 451 citations

    11

    h-index

  5. Advances in Applied Probability

    AAP · 10 publications · 277 citations

    10

    h-index

1–5