Ergodic Processes

Ergodic Processes is a stochastic process in which time averages of a system's properties converge to the corresponding ensemble averages, thereby allowing statistical properties to be inferred from a single, sufficiently long realization.

2.2K

Publications

119.7K

Citations

3.1K

Authors

1.2K

Institutions

Publications per year

2017–2026

248

Authors

3.1K

  1. RM
    Ralf Metzler

    University of Potsdam, Germany

    15 publications · 905 citations

    13

    h-index

  2. JK
    Julian Keilson

    University of Rochester, United States

    12 publications · 385 citations

    12

    h-index

  3. ES
    E. Seneta

    The University of Sydney, Australia

    12 publications · 827 citations

    12

    h-index

  4. ML
    Mariusz Lemańczyk

    Nicolaus Copernicus University, Poland

    14 publications · 395 citations

    12

    h-index

  5. BW
    Benjamin Weiss

    Hebrew University of Jerusalem, Israel

    13 publications · 500 citations

    12

    h-index

1–5 of 3.1K

Venues

  1. The Annals of Probability

    67 publications · 6.8K citations

    41

    h-index

  2. Ergodic Theory and Dynamical Systems

    132 publications · 5.7K citations

    40

    h-index

  3. IEEE Transactions on Information Theory

    60 publications · 4.3K citations

    33

    h-index

  4. Physical Review Letters

    PRL · 36 publications · 2.7K citations

    28

    h-index

  5. Transactions of the American Mathematical Society

    TRAN · 52 publications · 2.3K citations

    28

    h-index

1–5