Autocorrelation Function Decay

Autocorrelation Function Decay is a statistical property that characterizes the rate at which the autocorrelations of a stationary time series diminish as the lag between observations increases, distinguishing long-memory processes by their slow, hyperbolic decay as opposed to the rapid, exponential decay observed in short-memory processes.

396

Publications

23.5K

Citations

878

Authors

419

Institutions

Publications per year

2017–2026

36

Authors

878

  1. AJ
    A. J. Bray

    University of Manchester, United Kingdom

    8 publications · 369 citations

    8

    h-index

  2. BJ
    B. J. Berne

    Columbia University, United States

    5 publications · 781 citations

    5

    h-index

  3. TF
    Thomas Franosch

    Universität Innsbruck, Austria

    5 publications · 352 citations

    5

    h-index

  4. HR
    Heiko Rieger

    Saarland University, Germany

    4 publications · 247 citations

    5

    h-index

  5. ZQ
    Zhongjun Qu

    Boston University, United States

    4 publications · 260 citations

    4

    h-index

1–5 of 878

Venues

  1. Physical Review Letters

    PRL · 33 publications · 2.8K citations

    28

    h-index

  2. The Journal of Chemical Physics

    40 publications · 3K citations

    20

    h-index

  3. Physical Review E

    PRE · 24 publications · 870 citations

    18

    h-index

  4. Physical review. A, General physics

    22 publications · 2.7K citations

    16

    h-index

  5. 14

    h-index

1–5