Real-time forecasts of tomorrow's earthquakes in California

By M. Gerstenberger, Stefan Wiemer, L. Jones, P. Reasenberg. Nature, 2005

319 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Geophysics

View Paper: https://www.semanticscholar.org/paper/dd3549c1a64cbd3e07df96b86f391b81f0f74f57

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. F. Freund
2. Edward Field

In Geophysics

1. F. Freund
2. Edward Field
3. C. Kuo
4. Lou‐Chuang Lee
5. J. Huba
6. Glenn Joyce

Citations in the corpus

• A Summary of Previous Working Groups on California Earthquake Probabilities (2007, methodology): “In fact, the USGS recently went public with a CEPEC-endorsed Short Term Earthquake Probability (STEP) model that produces 24-hour aftershock hazard maps (Gerstenberger et al., 2005).”
• Electric currents streaming out of stressed igneous rocks - A step towards understanding pre-earthquake low frequency EM emissions (2006, background): “A recent letter in Nature (Gerstenberger et al., 2005) begins with the words: ‘‘Despite a lack of reliable deterministic earthquake precursors, seismologists have significant predictive information about earthquake activity from an increasingly accurate understanding of the clustering properties of ”