Recurrence Forecasting

Recurrence Forecasting is a predictive modeling framework in seismology that estimates the temporal probability and spatial distribution of future earthquakes based on historical and geological recurrence patterns of fault activity.

13

Publications

721

Citations

32

Authors

18

Institutions

Publications per year

2017–2026

4

Authors

32

  1. EE
    E. E. Brodsky

    University of California, Santa Cruz, United States

    1 publications · 42 citations

    1

    h-index

  2. SG
    Stephan Günnemann

    Technical University of Munich, Germany

    1 publications · 42 citations

    1

    h-index

  3. SB
    Saurabh Baruah

    North East Institute of Science and Technology, India

    1 publications · 15 citations

    1

    h-index

  4. RC
    Rodolfo Console

    Istituto Nazionale di Geofisica e Vulcanologia, Italy

    1 publications · 31 citations

    1

    h-index

  5. SP
    Stuart P. Nishenko

    United States Geological Survey, United States

    1 publications · 378 citations

    1

    h-index

1–5 of 32

Venues

  1. Geophysical Research Letters

    2 publications · 76 citations

    2

    h-index

  2. Bulletin of the Seismological Society of America

    BSSA · 2 publications · 408 citations

    2

    h-index

  3. Current Science

    1 publications · 15 citations

    1

    h-index

  4. International Journal of Engineering

    1 publications · 22 citations

    1

    h-index

  5. Journal of Geophysical Research Solid Earth

    1 publications · 13 citations

    1

    h-index

1–5