Probabilistic Foreshock Analysis

Probabilistic Foreshock Analysis is a methodological framework within seismological hazard assessment that quantifies the likelihood of foreshock occurrence preceding a mainshock by statistically modeling seismic precursory patterns and their spatiotemporal evolution.

12

Publications

696

Citations

17

Authors

9

Institutions

Publications per year

2017–2026

0

Authors

17

  1. MK
    M. K. Savage

    Victoria University of Wellington, New Zealand

    3 publications · 112 citations

    3

    h-index

  2. LM
    Lucile M. Jones

    United States Geological Survey, United States

    3 publications · 189 citations

    3

    h-index

  3. JZ
    Jiancang Zhuang

    The Institute of Statistical Mathematics, Japan

    2 publications · 118 citations

    2

    h-index

  4. YO
    Yosihiko Ogata

    The Institute of Statistical Mathematics, Japan

    2 publications · 118 citations

    2

    h-index

  5. KM
    Kenji Maeda

    Microbial Chemistry Research Foundation, Japan

    1 publications · 44 citations

    1

    h-index

1–5 of 17

Venues

  1. Bulletin of the Seismological Society of America

    BSSA · 6 publications · 408 citations

    6

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 2 publications · 142 citations

    2

    h-index

  3. New Zealand Journal of Geology and Geophysics

    NZJG · 1 publications · 26 citations

    1

    h-index

  4. 1

    h-index

  5. Physical Review E

    PRE · 1 publications · 69 citations

    1

    h-index

1–5