Random Walk Models

Random Walk Models is a stochastic process that describes the path of a particle undergoing successive random displacements in space, distinguished by its assumption of independent, identically distributed steps and Markovian dynamics without memory of prior states.

2.9K

Publications

202.8K

Citations

4.5K

Authors

1.6K

Institutions

Publications per year

2017–2026

392

Authors

4.5K

  1. JK
    J. Klafter

    Tel Aviv University, Israel

    29 publications · 4.6K citations

    24

    h-index

  2. GH
    George H. Weiss

    National Institutes of Health, United States

    40 publications · 1.9K citations

    23

    h-index

  3. EB
    Eli Barkai

    Bar-Ilan University, Israel

    21 publications · 3.5K citations

    21

    h-index

  4. RM
    Ralf Metzler

    University of Potsdam, Germany

    21 publications · 2.8K citations

    20

    h-index

  5. IM
    Igor M. Sokolov

    Humboldt-Universität zu Berlin, Germany

    20 publications · 1.7K citations

    17

    h-index

1–5 of 4.5K

Venues

  1. Physical Review E

    PRE · 147 publications · 6.6K citations

    47

    h-index

  2. Physical Review Letters

    PRL · 76 publications · 7.3K citations

    43

    h-index

  3. Journal of Statistical Physics

    105 publications · 7K citations

    39

    h-index

  4. The Annals of Probability

    93 publications · 5K citations

    39

    h-index

  5. 37

    h-index

1–5