74 citations as recorded by crossref.

1. Approximation of the waiting times distribution laws for foreshocks based on a fractional model of deformation activity . Шереметьева & . Шевцов
2. Amplitude modulated drift wave packets in a nonuniform magnetoplasma P. Shukla & A. Misra
3. A mechanism for spatial and temporal earthquake clustering E. Jagla & A. Kolton
4. The Overlap of Aftershock Coda Waves and Short‐Term Postseismic Forecasting L. de Arcangelis et al.
5. Triggering cascades and statistical properties of aftershocks C. Gu et al.
6. Nontrivial decay of aftershock density with distance in Southern California J. Moradpour et al.
7. Post Seismic Catalog Incompleteness and Aftershock Forecasting E. Lippiello et al.
8. Modelling disease spread and control in networks: implications for plant sciences M. Jeger et al.
9. Linear Relationship Between Aftershock Productivity and Seismic Coupling in the Northern Chile Subduction Zone S. Hainzl et al.
10. Real-Time Foreshock–Aftershock–Swarm Discrimination During the 2025 Seismic Crisis near Santorini Volcano, Greece: Earthquake Statistics and Complex Networks I. Triantafyllou et al.
11. Increased correlation range of seismicity before large events manifested by earthquake chains P. Shebalin
12. Monitoring earthquake network measures between main shocks in Greece D. Chorozoglou & E. Papadimitriou
13. Minima of the fluctuations of the order parameter of seismicity and earthquake networks based on similar activity patterns A. Mintzelas & N. Sarlis
14. A revision of seismicity models based on complex systems and earthquake networks D. Leon et al.
15. Networks of recurrent events, a theory of records, and an application to finding causal signatures in seismicity J. Davidsen et al.
16. Earthquake Networks as a Tool for Seismicity Investigation: a Review D. Chorozoglou et al.
17. Fractional Model of the Deformation Process O. Sheremetyeva & B. Shevtsov
18. Determining the number of clusters, before finding clusters, from the susceptibility of the similarity matrix E. Lippiello et al.
19. Comparison of different seismic networks efficiencies in earthquake forecasting models S. Dehkordi et al.
20. A review on clustering algorithms for spatiotemporal seismicity analysis R. Vijay et al.
21. Modeling of Colombian Seismicity as Small‐World Networks D. León et al.
22. A complex network model for seismicity based on mutual information A. Jiménez
23. Apparent triggering function of aftershocks resulting from rate‐dependent incompleteness of earthquake catalogs S. Hainzl
24. Reservoir-Triggered Earthquakes Around the Atatürk Dam (Southeastern Turkey) P. Büyükakpınar et al.
25. Complex Network Study of Solar Magnetograms V. Muñoz & E. Flández
26. Fractional Criticality Theory and Its Application in Seismology B. Shevtsov & O. Sheremetyeva
27. Shear deformation in CuZr metallic glass: A statistical and complex network analysis F. Corvacho et al.
28. Temporal changes in the cumulative piecewise gradient of a variant of the Gutenberg–Richter relationship, and the imminence of extreme events J. Latchman et al.
29. Analysis of emergent fault element behavior in Virtual California M. Glasscoe et al.
30. Reservoir related seismicity changes around the Gotvand Dam (south west of Iran) B. Asayesh et al.
31. Increase of order in seismic processes around large reservoir induced by water level periodic variation T. Matcharashvili et al.
32. Generalized Omori–Utsu law for aftershock sequences in southern California J. Davidsen et al.
33. No Evidence of Magnitude Clustering in an Aftershock Sequence of Nano- and Picoseismicity J. Davidsen et al.
34. Leveraging spurious Omori-Utsu relation in the nearest-neighbor declustering method A. Puy et al.
35. Observation of scale-free complex network behavior in the solar magnetic field along the 23rd solar cycle M. Castillo et al.
36. Modeling the global ionospheric variations based on complex network S. Lu et al.
37. Probabilistic identification of earthquake clusters using rescaled nearest neighbour distance networks K. Bayliss et al.
38. Generalizable deep learning models for predicting laboratory earthquakes C. Wang et al.
39. Variation of b and p values from aftershocks sequences along the Mexican subduction zone and their relation to plate characteristics L. Ávila-Barrientos et al.
40. Complex network description of the ionosphere S. Lu et al.
41. Scale free properties in a network-based integrated approach to earthquake pattern analysis M. Suteanu
42. Incorporating Foreshocks in an Epidemic-like Description of Seismic Occurrence in Italy G. Petrillo & E. Lippiello
43. Forecasting induced seismicity in enhanced geothermal systems using machine learning: challenges and opportunities S. Karimpouli et al.
44. Complex earthquake networks: Hierarchical organization and assortative mixing S. Abe & N. Suzuki
45. Testing of the foreshock hypothesis within an epidemic like description of seismicity G. Petrillo & E. Lippiello
46. Aftershocks Identification and Classification G. Riga & P. Balocchi
47. A Sustainable Monitoring and Predicting Method for Coal Failure Using Acoustic Emission Event Complex Networks Z. Zhang et al.
48. Analysis of the Spatial Distribution Between Successive Earthquakes J. Davidsen & M. Paczuski
49. Explainable machine learning for labquake prediction using catalog-driven features S. Karimpouli et al.
50. Aspects of Structure in Earthquake Networks M. Suteanu
51. Identification and spatiotemporal organization of aftershocks M. Bottiglieri et al.
52. Power law distribution of seismic rates: theory and data analysis A. Saichev & D. Sornette
53. Estimating the Epicenter of an Impending Strong Earthquake by Combining the Seismicity Order Parameter Variability Analysis with Earthquake Networks and Nowcasting: Application in the Eastern Mediterranean P. Varotsos et al.
54. The influence of the brittle-ductile transition zone on aftershock and foreshock occurrence G. Petrillo et al.
55. Analysis of complex networks associated to seismic clusters near the Itoiz reservoir dam A. Jiménez et al.
56. Foreshocks and short-term hazard assessment of large earthquakes using complex networks: the case of the 2009 L'Aquila earthquake E. Daskalaki et al.
57. Towards evidence of long-range correlations in shallow seismic activities D. Ferreira et al.
58. Renormalization of branching models of triggered seismicity from total to observable seismicity A. Saichev & D. Sornette
59. Statistical physics approach to earthquake occurrence and forecasting L. de Arcangelis et al.
60. Long-range correlation studies in deep earthquakes global series D. Ferreira et al.
61. Scaling and Clustering in Southern California Earthquake Sequences: Insights from Percolation Theory Z. Zhao et al.
62. Rossby rogons in atmosphere and in the solar photosphere A. Misra & P. Shukla
63. Earthquake recurrence as a record breaking process J. Davidsen et al.
64. Analysing the topology of seismicity in the Hellenic arc using complex networks E. Daskalaki et al.
65. Time series analysis in earthquake complex networks D. Pastén et al.
66. Comparison of the Hurst and DEA exponents between the catalogue and its clusters: The California case A. Jiménez
67. Unsupervised clustering of catalogue-driven features for characterizing temporal evolution of labquake stress S. Karimpouli et al.
68. Clustering Analysis of Seismicity and Aftershock Identification I. Zaliapin et al.
69. Depth‐Dependent Aftershock Trigger Potential Revealed by 3D‐ETAS Modeling B. Asayesh et al.
70. Signatures of criticality in turning avalanches of schooling fish A. Puy et al.
71. Short-Term Earthquake Forecast with the Seismic Sequence Hierarchization Method G. Riga & P. Balocchi
72. Statistics of weighted treelike networks E. Almaas et al.
73. Scaling and precursor motifs in earthquake networks M. Baiesi
74. Dynamical evolution of clustering in complex network of earthquakes S. Abe & N. Suzuki