Ergodic Measures

Ergodic Measures is a probability measure on a measurable space invariant under a dynamical system’s transformation such that every invariant measurable set has either zero or full measure, thereby ensuring time averages of observables almost everywhere equal their space averages.

507

Publications

22.6K

Citations

660

Authors

408

Institutions

Publications per year

2017–2026

66

Authors

660

  1. MU
    Mariusz Urbański

    University of North Texas, United States

    6 publications · 627 citations

    6

    h-index

  2. HB
    Henk Bruin

    University of Surrey, United Kingdom

    6 publications · 174 citations

    6

    h-index

  3. OJ
    Oliver Jenkinson

    Queen Mary University of London, United Kingdom

    6 publications · 323 citations

    6

    h-index

  4. SP
    Sorin Popa

    University of California, Los Angeles, United States

    6 publications · 576 citations

    6

    h-index

  5. SV
    Stefaan Vaes

    KU Leuven, Belgium

    5 publications · 289 citations

    5

    h-index

1–5 of 660

Venues

  1. Ergodic Theory and Dynamical Systems

    89 publications · 4.3K citations

    33

    h-index

  2. Transactions of the American Mathematical Society

    TRAN · 32 publications · 1.6K citations

    21

    h-index

  3. Discrete and Continuous Dynamical Systems

    DCDS · 22 publications · 659 citations

    15

    h-index

  4. arXiv (Cornell University)

    Repository · 23 publications · 500 citations

    13

    h-index

  5. Nonlinearity

    16 publications · 794 citations

    12

    h-index

1–5