Precursor Detection

Precursor Detection is a scientific method in earthquake forecasting that identifies anomalous geophysical, geochemical, or hydrological signals preceding seismic events, distinguishing it from other predictive approaches by its focus on detecting pre-seismic phenomena as potential indicators of imminent earthquakes.

148

Publications

6.2K

Citations

527

Authors

254

Institutions

Publications per year

2017–2026

49

Authors

527

  1. TR
    Tsuneji Rikitake

    Earthquake Engineering Research Institute, United States

    3 publications · 285 citations

    3

    h-index

  2. LL
    Lenore L. Dai

    Arizona State University, United States

    3 publications · 60 citations

    3

    h-index

  3. BK
    Bonsung Koo

    Arizona State University, United States

    3 publications · 60 citations

    3

    h-index

  4. AC
    Aditi Chattopadhyay

    Arizona State University, United States

    3 publications · 60 citations

    3

    h-index

  5. FV
    Filippos Vallianatos

    Hellenic Mediterranean University, Greece

    3 publications · 89 citations

    3

    h-index

1–5 of 527

Venues

  1. Geophysical Research Letters

    4 publications · 164 citations

    4

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 4 publications · 288 citations

    4

    h-index

  3. Science

    4 publications · 160 citations

    4

    h-index

  4. Remote Sensing

    4 publications · 135 citations

    4

    h-index

  5. Pure and Applied Geophysics

    PAGEOPH · 3 publications · 79 citations

    3

    h-index

1–5