15 citations as recorded by crossref.

1. Segmentation of fault networks determined from spatial clustering of earthquakes G. Ouillon & D. Sornette https://doi.org/10.1029/2010JB007752
2. Multifractal dimension andbvalue analysis of the 1998–1999 Quito swarm related to Guagua Pichincha volcano activity, Ecuador D. Legrand et al. https://doi.org/10.1029/2003JB002572
3. Observational evidence for earthquakes as a nonlinear dynamic process Y. Kagan https://doi.org/10.1016/0167-2789(94)90132-5
4. Multifractal analysis of Vesuvius volcano eruptions C. Godano & L. Civetta https://doi.org/10.1029/96GL00966
5. Effect of limited data sets in evaluating the scaling properties of spatially distributed data: an example from mining-induced seismic activity M. Eneva https://doi.org/10.1111/j.1365-246X.1996.tb05637.x
6. Techniques and parameters to analyze seismicity patterns associated with large earthquakes M. Eneva & Y. Ben‐Zion https://doi.org/10.1029/97JB00994
7. Multifractal features in temporal patterns of seismicity in southern Apennine Chain (Italy) L. Telesca et al. https://doi.org/10.1002/env.615
8. Non linéarité de l’essaim de Quito de 1998-1999 associé à l’activité du volcan Guagua Pichincha, Équateur D. Legrand et al. https://doi.org/10.4000/bifea.6307
9. Modeling active fault systems and seismic events by using a fiber bundle model – example case: the Northridge aftershock sequence M. Monterrubio-Velasco et al. https://doi.org/10.5194/se-10-1519-2019
10. Multifractal analysis of the spatial distribution of earthquakes in southern Italy C. Godano et al. https://doi.org/10.1111/j.1365-246X.1996.tb06033.x
11. Wavelet-based multifractal analysis of earthquakes temporal distribution in Mammoth Mountain volcano, Mono County, Eastern California A. Zamani et al. https://doi.org/10.2478/s11600-013-0184-3
12. Multifractal analysis in mining microseismicity and its application to seismic hazard in mine D. Pastén et al. https://doi.org/10.1016/j.ijrmms.2015.04.020
13. In search for a relationship between induced microseismicity and larger events in mines M. Eneva https://doi.org/10.1016/S0040-1951(97)00309-0
14. Unbiased multifractal analysis: Application to fault patterns G. Ouillon & D. Sornette https://doi.org/10.1029/96GL02379
15. Characterizing spatial heterogeneity based on the b-value and fractal analyses of the 2015 Nepal earthquake sequence S. Nampally et al. https://doi.org/10.1016/j.tecto.2017.11.004