Earthquake Detection Algorithms

Earthquake Detection Algorithms is a computational method that distinguishes seismic signals indicative of earthquake onset from background noise or other seismic events by analyzing real-time waveform data to enable rapid and accurate identification of initial rupture characteristics.

420

Publications

25.5K

Citations

1.2K

Authors

454

Institutions

Publications per year

2017–2026

225

Authors

1.2K

  1. GC
    Gregory C. Beroza

    Stanford University, United States

    19 publications · 3.4K citations

    17

    h-index

  2. WZ
    Weiqiang Zhu

    Stanford University, United States

    11 publications · 2.7K citations

    11

    h-index

  3. RM
    R. M. Allen

    University of California, Berkeley, United States

    10 publications · 544 citations

    10

    h-index

  4. OM
    Omar M. Saad

    National Research Institute of Astronomy and Geophysics, Egypt

    10 publications · 497 citations

    10

    h-index

  5. EH
    Egill Hauksson

    California Institute of Technology, United States

    9 publications · 1.8K citations

    9

    h-index

1–5 of 1.2K

Venues

  1. Bulletin of the Seismological Society of America

    BSSA · 37 publications · 4.1K citations

    26

    h-index

  2. Seismological Research Letters

    SRL · 36 publications · 2.3K citations

    22

    h-index

  3. Journal of Geophysical Research Solid Earth

    28 publications · 1.9K citations

    21

    h-index

  4. Geophysical Journal International

    GJI · 24 publications · 1.2K citations

    20

    h-index

  5. Geophysical Research Letters

    22 publications · 1.3K citations

    17

    h-index

1–5