Stochastic Partial Differential Equations

Stochastic Partial Differential Equation is a type of partial differential equation that incorporates random forcing terms or stochastic processes, thereby modeling systems influenced by random fluctuations in both space and time.

1.8K

Publications

93.5K

Citations

2.4K

Authors

1.1K

Institutions

Publications per year

2017–2026

399

Authors

2.4K

  1. MR
    Michael Röckner

    Bielefeld University, Germany

    26 publications · 1.9K citations

    22

    h-index

  2. AJ
    Arnulf Jentzen

    ETH Zurich, Switzerland

    30 publications · 2.4K citations

    21

    h-index

  3. TC
    Tomás Caraballo

    Universidad de Sevilla, Spain

    21 publications · 950 citations

    18

    h-index

  4. ZB
    Zdzisław Brzeźniak

    University of York, United Kingdom

    19 publications · 1.2K citations

    15

    h-index

  5. IG
    István Gyöngy

    University of Edinburgh, United Kingdom

    16 publications · 850 citations

    14

    h-index

1–5 of 2.4K

Venues

  1. Stochastic Processes and their Applications

    64 publications · 3.8K citations

    34

    h-index

  2. Probability Theory and Related Fields

    45 publications · 3.9K citations

    33

    h-index

  3. Stochastics and stochastics reports

    39 publications · 2K citations

    25

    h-index

  4. The Annals of Probability

    48 publications · 2.6K citations

    25

    h-index

  5. Journal of Functional Analysis

    34 publications · 2K citations

    24

    h-index

1–5