Earthquake Forecasting Models

Earthquake Forecasting Models is a scientific framework that systematically predicts the temporal, spatial, and magnitude characteristics of future seismic events by analyzing geophysical data and statistical patterns, distinguishing it from deterministic earthquake simulation methods through its reliance on probabilistic and empirical associations derived from historical and real-time seismicity.

799

Publications

37.7K

Citations

1.6K

Authors

629

Institutions

Publications per year

2017–2026

287

Authors

1.6K

  1. WM
    Warner Marzocchi

    Istituto Nazionale di Geofisica e Vulcanologia, Italy

    39 publications · 2.1K citations

    26

    h-index

  2. MJ
    Maximilian J. Werner

    University of Bristol, United Kingdom

    30 publications · 1.9K citations

    24

    h-index

  3. DA
    David A. Rhoades

    GNS Science, New Zealand

    28 publications · 1.8K citations

    24

    h-index

  4. TH
    T. H. Jordan

    University of Southern California, United States

    24 publications · 2.7K citations

    23

    h-index

  5. DS
    Danijel Schorlemmer

    GFZ Helmholtz Centre for Geosciences, Germany

    24 publications · 1.3K citations

    22

    h-index

1–5 of 1.6K

Venues

  1. Bulletin of the Seismological Society of America

    BSSA · 73 publications · 5K citations

    37

    h-index

  2. Seismological Research Letters

    SRL · 58 publications · 3.4K citations

    36

    h-index

  3. Geophysical Journal International

    GJI · 63 publications · 2.9K citations

    30

    h-index

  4. Pure and Applied Geophysics

    PAGEOPH · 55 publications · 2.3K citations

    25

    h-index

  5. Tectonophysics

    39 publications · 1.5K citations

    25

    h-index

1–5