20 citations as recorded by crossref.

1. Clustering analysis of the seismic catalog of Iran A. Ansari et al.
2. Three-dimensional paganica fault morphology obtained from hypocenter clustering (L'Aquila 2009 seismic sequence, Central Italy) B. Brunsvik et al.
3. Fractional dynamics and MDS visualization of earthquake phenomena A. Lopes et al.
4. Quantifying variability in earthquake rupture models using multidimensional scaling: application to the 2011 Tohoku earthquake H. Razafindrakoto et al.
5. Earthquake Detection in 1D Time‐Series Data with Feature Selection and Dictionary Learning Z. Zhou et al.
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
7. Unsupervised machine learning reveals slab hydration variations from deep earthquake distributions beneath the northwest Pacific G. Mao et al.
8. A Framework of Massively Parallel Analysis of Regional Earthquake Activities H. ZHANG et al.
9. Earthquake clusters in southern California I: Identification and stability I. Zaliapin & Y. Ben‐Zion
10. FCaZm intelligent recognition system for locating areas prone to strong earthquakes in the Andean and Caucasian mountain belts A. Gvishiani et al.
11. Clustering and Geodesic Scaling of Dissimilarities on the Spherical Surface J. Fernando Vera et al.
12. Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems M. Mudunuru et al.
13. Data-Driven Techniques in Disaster Information Management T. Li et al.
14. Spatial pattern recognition of seismic events in South West Colombia H. Benítez et al.
15. Visual exploration of data by using multidimensional scaling on multicore CPU, GPU, and MPI cluster P. Pawliczek et al.
16. Relationship Between the 2019 Ridgecrest, California, MW7.1 Earthquake and Its MW6.4 Foreshock Sequence J. Zheng et al.
17. Scalable Multi-variate Analytics of Seismic and Satellite-based Observational Data . Xiaoru Yuan et al.
18. Multidimensional scaling visualization of earthquake phenomena A. Lopes et al.
19. Design of computationally efficient density-based clustering algorithms S. Nanda & G. Panda
20. Clustering and visualization of earthquake data in a grid environment D. A.Yuen et al.