Foreshock Detection Algorithms
Foreshock Detection Algorithms is a class of computational methodologies within seismological signal processing that are specifically designed to identify precursory seismic events preceding major earthquakes by distinguishing statistically anomalous patterns in foreshock sequences from background seismicity.
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1.7K
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77
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45
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2017–2026
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Real-time discrimination of earthquake foreshocks and aftershocks
Laura Gulia, Stefan Wiemer · Nature · 2019 · 358 citations
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University of California, Santa Cruz
Santa Cruz, United States
4 h-index
10 publications
243 citations
China Earthquake Administration
Beijing, China
3 h-index
9 publications
165 citations
ETH Zurich
Zurich, Switzerland
2 h-index
4 publications
804 citations
Stanford University
Stanford, United States
2 h-index
4 publications
314 citations
Geological Survey of Israel
Jerusalem, Israel
2 h-index
2 publications
24 citations
National Center for Supercomputing Applications
Urbana, United States
2 h-index
2 publications
27 citations

Istituto Nazionale di Geofisica e Vulcanologia
Rome, Italy
2 h-index
4 publications
186 citations
United States Geological Survey
Reston, United States
2 h-index
2 publications
47 citations
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SRL · 6 publications · 115 citations
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BSSA · 5 publications · 138 citations
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3 publications · 227 citations
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3 publications · 487 citations
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1 publications · 14 citations
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