Diffusion Processes

Diffusion Processes is a continuous-time stochastic process characterized by continuous sample paths and governed by a stochastic differential equation that models the random evolution of a system under the influence of drift and diffusion coefficients.

25.2K

Publications

1.5M

Citations

27.7K

Authors

4.9K

Institutions

Publications per year

2017–2026

4.2K

Authors

27.7K

  1. RM
    Ralf Metzler

    University of Potsdam, Germany

    125 publications · 26.5K citations

    63

    h-index

  2. JK
    J. Klafter

    Tel Aviv University, Israel

    71 publications · 21.7K citations

    43

    h-index

  3. IM
    Igor M. Sokolov

    Humboldt-Universität zu Berlin, Germany

    65 publications · 7.2K citations

    42

    h-index

  4. MR
    Michael Röckner

    Bielefeld University, Germany

    97 publications · 5.1K citations

    41

    h-index

  5. AV
    Aleksei V. Chechkin

    Kharkiv Institute of Physics and Technology, Ukraine

    59 publications · 5.1K citations

    40

    h-index

1–5 of 27.7K

Venues

  1. Physical Review Letters

    PRL · 369 publications · 36.4K citations

    101

    h-index

  2. The Annals of Probability

    507 publications · 28.1K citations

    88

    h-index

  3. Stochastic Processes and their Applications

    666 publications · 34.6K citations

    86

    h-index

  4. Probability Theory and Related Fields

    438 publications · 28.6K citations

    80

    h-index

  5. Journal of Differential Equations

    419 publications · 23.6K citations

    80

    h-index

1–5