User's guide to HYPOINVERSE-2000, a Fortran program to solve for earthquake locations and magnitudes

By F. Klein. 2002

462 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Geology, Geophysics

View Paper: https://www.semanticscholar.org/paper/6920e94fc8a133112fcda83df02070285c4532a7

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. S. M. Mousavi
2. Gregory C. Beroza
3. Weiqiang Zhu
4. William Ellsworth
5. Ian W. McBrearty
6. Jianwei Ma
7. Siwei Yu
8. Y. Sheng

In Geology

1. S. M. Mousavi
2. Gregory C. Beroza
3. William Ellsworth
4. Weiqiang Zhu
5. Ian W. McBrearty

In Geophysics

1. Gregory C. Beroza
2. S. M. Mousavi
3. Weiqiang Zhu
4. William Ellsworth
5. Ian W. McBrearty
6. Siwei Yu
7. Jianwei Ma
8. Y. Sheng

Citations in the corpus

• Earthquake Phase Association Using a Bayesian Gaussian Mixture Model (2021, methodology): “A standard earthquake-monitoring workflow from seismic waveforms to earthquake catalogs includes several tasks, including: phase detection and picking (Allen, 1978), phase association (Yeck et al., 2019), earthquake location (Klein, 2002), and magnitude estimation (Richter, 1935).”