Rough Path Theory

Rough Path Theory is a mathematical framework within stochastic analysis that extends classical calculus to irregular paths by hierarchically augmenting them with additional algebraic and geometric information, thereby enabling the robust solution of differential equations driven by highly oscillatory or non-semimartingale processes.

155

Publications

7.1K

Citations

156

Authors

122

Institutions

Publications per year

2017–2026

52

Authors

156

  1. PK
    Peter K. Friz

    Technische Universität Berlin, Germany

    24 publications · 946 citations

    18

    h-index

  2. TL
    Terry Lyons

    University of Oxford, United Kingdom

    17 publications · 1.7K citations

    14

    h-index

  3. TC
    Thomas Cass

    Imperial College London, United Kingdom

    9 publications · 469 citations

    9

    h-index

  4. MG
    Massimiliano Gubinelli

    Université Paris Dauphine-PSL, France

    8 publications · 909 citations

    8

    h-index

  5. SR
    Sebastian Riedel

    Technische Universität Berlin, Germany

    8 publications · 187 citations

    8

    h-index

1–5 of 156

Venues

  1. The Annals of Probability

    16 publications · 756 citations

    15

    h-index

  2. arXiv (Cornell University)

    Repository · 17 publications · 522 citations

    12

    h-index

  3. Electronic Journal of Probability

    EJP · 10 publications · 289 citations

    9

    h-index

  4. Journal of Functional Analysis

    7 publications · 778 citations

    7

    h-index

  5. Journal of Differential Equations

    6 publications · 352 citations

    6

    h-index

1–5