20 citations as recorded by crossref.

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2. Three-dimensional paganica fault morphology obtained from hypocenter clustering (L'Aquila 2009 seismic sequence, Central Italy) B. Brunsvik et al. https://doi.org/10.1016/j.tecto.2021.228756
3. Fractional dynamics and MDS visualization of earthquake phenomena A. Lopes et al. https://doi.org/10.1016/j.camwa.2013.02.003
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5. Earthquake Detection in 1D Time‐Series Data with Feature Selection and Dictionary Learning Z. Zhou et al. https://doi.org/10.1785/0220180315
6. A public micro pension programme in Brazil: heterogeneity among states and setting up of a benefit age adjustment R. Alcoforado & A. Egídio dos Reis https://doi.org/10.1007/s13385-022-00319-z
7. Unsupervised machine learning reveals slab hydration variations from deep earthquake distributions beneath the northwest Pacific G. Mao et al. https://doi.org/10.1038/s43247-022-00377-x
8. A Framework of Massively Parallel Analysis of Regional Earthquake Activities H. ZHANG et al. https://doi.org/10.1111/j.1755-6724.2009.00102.x
9. Earthquake clusters in southern California I: Identification and stability I. Zaliapin & Y. Ben‐Zion https://doi.org/10.1002/jgrb.50179
10. FCaZm intelligent recognition system for locating areas prone to strong earthquakes in the Andean and Caucasian mountain belts A. Gvishiani et al. https://doi.org/10.1134/S1069351316040017
11. Clustering and Geodesic Scaling of Dissimilarities on the Spherical Surface J. Fernando Vera et al. https://doi.org/10.1007/s13253-023-00597-4
12. Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems M. Mudunuru et al. https://doi.org/10.1002/sam.11356
13. Data-Driven Techniques in Disaster Information Management T. Li et al. https://doi.org/10.1145/3017678
14. Spatial pattern recognition of seismic events in South West Colombia H. Benítez et al. https://doi.org/10.1016/j.cageo.2013.04.028
15. Visual exploration of data by using multidimensional scaling on multicore CPU, GPU, and MPI cluster P. Pawliczek et al. https://doi.org/10.1002/cpe.3027
16. Relationship Between the 2019 Ridgecrest, California, MW7.1 Earthquake and Its MW6.4 Foreshock Sequence J. Zheng et al. https://doi.org/10.3390/e27010016
17. Scalable Multi-variate Analytics of Seismic and Satellite-based Observational Data . Xiaoru Yuan et al. https://doi.org/10.1109/TVCG.2010.192
18. Multidimensional scaling visualization of earthquake phenomena A. Lopes et al. https://doi.org/10.1007/s10950-013-9409-9
19. Design of computationally efficient density-based clustering algorithms S. Nanda & G. Panda https://doi.org/10.1016/j.datak.2014.11.004
20. Clustering and visualization of earthquake data in a grid environment D. A.Yuen et al. https://doi.org/10.1007/s10069-005-0023-z