Beroza, G. C., et al. (2021). "Machine learning and earthquake forecasting—next steps." Nature Communications 12(1): 4761.
Gutenberg, B. & Richter, C. F. (1944) Frequency of earthquakes in California. Bull.
Seismol. Soc. Am. 34, 185–188.
Mancini, S. et al. (2020).The predictive skills of elastic Coulomb rate-and-state
aftershock forecasts during the 2019 Ridgecrest, California, earthquake
sequence. Bull. Seismol. Soc. Am. 110, 1736–1751
Omori, F. J. On the aftershocks of earthquakes. Coll. Sci. Imp. Univ. Tokyo 7, 111–200 (1894)
Segou, M., & Parsons, T. (2020) A new technique to calculate earthquake stress
transfer and to probe the physics of aftershocks. Bull. Seismol. Soc. Am. 110,
863–873, (2020).
Tan, Y. J. et al. (2021) Machine-learning-based high-resolution catalog reveals how
complex fault structures were activated during the 2016-2017 Central Italy
sequence. Seismic Rec. 1,11–19