Age-dependent Processes

Age-Dependent Processes is a class of jump processes in which the probability of state transitions depends explicitly on the duration of time elapsed since the most recent jump, thereby incorporating memory effects through the age of the current state.

1.1K

Publications

62.3K

Citations

5.5K

Authors

1.6K

Institutions

Publications per year

2017–2026

200

Authors

5.5K

  1. PG
    Paolo Grigolini

    University of North Texas, United States

    9 publications · 392 citations

    9

    h-index

  2. RM
    Ralf Metzler

    University of Potsdam, Germany

    7 publications · 382 citations

    7

    h-index

  3. PA
    Paolo Allegrini

    University of Pisa, Italy

    6 publications · 261 citations

    6

    h-index

  4. QZ
    Qimin Zhang

    Ningxia University, China

    5 publications · 130 citations

    5

    h-index

  5. CJ
    Charles J. Mode

    Drexel University, United States

    5 publications · 281 citations

    5

    h-index

1–5 of 5.5K

Venues

  1. PubMed

    Repository · 58 publications · 1.9K citations

    23

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 21 publications · 3.2K citations

    19

    h-index

  3. PLoS ONE

    16 publications · 974 citations

    14

    h-index

  4. Journal of Applied Probability

    JAP · 16 publications · 530 citations

    13

    h-index

  5. Psychology and Aging

    10 publications · 250 citations

    10

    h-index

1–5