Poisson Recurrence Model

The Poisson Recurrence Model is a stochastic model of earthquake recurrence that belongs to the class of point process models and is distinguished by its assumption that earthquakes occur randomly in time with a constant average rate, implying memoryless interevent times.

20

Publications

774

Citations

58

Authors

38

Institutions

Publications per year

2017–2026

2

Authors

58

  1. AM
    Andrea Moscariello

    University of Geneva, Switzerland

    1 publications · 21 citations

    1

    h-index

  2. JB
    J. B. Berrill

    University of Canterbury, New Zealand

    1 publications · 66 citations

    1

    h-index

  3. ME
    Mikael Eriksson

    MAX IV Laboratory, Sweden

    1 publications · 20 citations

    1

    h-index

  4. FJ
    Francisco J. Silva

    Universidade dos Açores, Portugal

    1 publications · 52 citations

    1

    h-index

  5. LS
    Larry S. Liebovitch

    Columbia University, United States

    1 publications · 22 citations

    1

    h-index

1–5 of 58

Venues

  1. Bulletin of the Seismological Society of America

    BSSA · 3 publications · 261 citations

    3

    h-index

  2. Journal of Cardiovascular Electrophysiology

    1 publications · 22 citations

    1

    h-index

  3. Theoretical and Applied Climatology

    1 publications · 32 citations

    1

    h-index

  4. 1

    h-index

  5. Europhysics Letters (EPL)

    1 publications · 26 citations

    1

    h-index

1–5