16 citations as recorded by crossref.

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7. The role of driving rate in scaling characteristics of rock fracture V. Kuksenko et al. https://doi.org/10.1088/1742-5468/2005/06/P06012
8. A multidisciplinary analysis for traces of the last state of earthquake generation in preseismic electromagnetic emissions S. Potirakis et al. https://doi.org/10.5194/nhess-11-2859-2011
9. A way to synchronize models with seismic faults for earthquake forecasting: Insights from a simple stochastic model Á. González et al. https://doi.org/10.1016/j.tecto.2006.03.039
10. Application of a modified pattern informatics method to forecasting the locations of future large earthquakes in the central Japan K. Nanjo et al. https://doi.org/10.1016/j.tecto.2006.03.043
11. Seismological criticality concept and percolation model of fracture T. Chelidze et al. https://doi.org/10.1111/j.1365-246X.2005.02818.x
12. Predictability of the large relaxations in a cellular automaton model A. Tejedor et al. https://doi.org/10.1088/1751-8113/41/37/375102
13. Earthquake size-frequency statistics in a forest-fire model of individual faults A. Tejedor et al. https://doi.org/10.1103/PhysRevE.79.046102
14. Forest-Fire Analogy to Explain thebValue of the Gutenberg-Richter Law for Earthquakes E. Jagla https://doi.org/10.1103/PhysRevLett.111.238501
15. Distinguished seismological and electromagnetic features of the impending global failure: Did the 7/9/1999 M5.9 Athens earthquake come with a warning? P. Kapiris et al. https://doi.org/10.1186/BF03351818
16. Using synchronization to improve the forecasting of large relaxations in a cellular-automaton model Á. González et al. https://doi.org/10.1209/epl/i2004-10269-3