Stochastic Differential Equations

Stochastic Differential Equations is a mathematical framework within the theory of differential equations that incorporates random fluctuations through stochastic processes, distinguishing it from deterministic differential equations by modeling the evolution of systems subject to continuous uncertainty and noise.

29.9K

Publications

1.6M

Citations

29.1K

Authors

5.1K

Institutions

Publications per year

2017–2026

7K

Authors

29.1K

  1. XM
    Xuerong Mao

    University of Strathclyde, United Kingdom

    239 publications · 19.6K citations

    72

    h-index

  2. ZW
    Zidong Wang

    Brunel University of London, United Kingdom

    89 publications · 8K citations

    53

    h-index

  3. PH
    Peter Hänggi

    University of Augsburg, Germany

    86 publications · 7.8K citations

    48

    h-index

  4. QZ
    Quanxin Zhu

    Hunan Normal University, China

    118 publications · 6K citations

    44

    h-index

  5. MR
    Michael Röckner

    Bielefeld University, Germany

    101 publications · 5.2K citations

    41

    h-index

1–5 of 29.1K

Venues

  1. Physical Review Letters

    PRL · 407 publications · 47.5K citations

    104

    h-index

  2. IEEE Transactions on Automatic Control

    406 publications · 31.6K citations

    96

    h-index

  3. Stochastic Processes and their Applications

    647 publications · 38K citations

    93

    h-index

  4. The Annals of Probability

    478 publications · 31.4K citations

    91

    h-index

  5. 86

    h-index

1–5