70 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 10.26117/2079-6641-2022-40-3-137-152
2. Amplitude modulated drift wave packets in a nonuniform magnetoplasma P. Shukla & A. Misra 10.1016/j.physleta.2012.07.008
3. A mechanism for spatial and temporal earthquake clustering E. Jagla & A. Kolton 10.1029/2009JB006974
4. The Overlap of Aftershock Coda Waves and Short‐Term Postseismic Forecasting L. de Arcangelis et al. 10.1029/2018JB015518
5. Triggering cascades and statistical properties of aftershocks C. Gu et al. 10.1002/jgrb.50306
6. Nontrivial decay of aftershock density with distance in Southern California J. Moradpour et al. 10.1002/2014JB010940
7. Post Seismic Catalog Incompleteness and Aftershock Forecasting E. Lippiello et al. 10.3390/geosciences9080355
8. Modelling disease spread and control in networks: implications for plant sciences M. Jeger et al. 10.1111/j.1469-8137.2007.02028.x
9. Linear Relationship Between Aftershock Productivity and Seismic Coupling in the Northern Chile Subduction Zone S. Hainzl et al. 10.1029/2019JB017764
10. Increased correlation range of seismicity before large events manifested by earthquake chains P. Shebalin 10.1016/j.tecto.2006.03.040
11. Monitoring earthquake network measures between main shocks in Greece D. Chorozoglou & E. Papadimitriou 10.1007/s10950-019-09820-7
12. Minima of the fluctuations of the order parameter of seismicity and earthquake networks based on similar activity patterns A. Mintzelas & N. Sarlis 10.1016/j.physa.2019.121293
13. A revision of seismicity models based on complex systems and earthquake networks D. Leon et al. 10.1007/s10950-021-10017-0
14. Networks of recurrent events, a theory of records, and an application to finding causal signatures in seismicity J. Davidsen et al. 10.1103/PhysRevE.77.066104
15. Earthquake Networks as a Tool for Seismicity Investigation: a Review D. Chorozoglou et al. 10.1007/s00024-019-02253-w
16. Fractional Model of the Deformation Process O. Sheremetyeva & B. Shevtsov 10.3390/fractalfract6070372
17. Determining the number of clusters, before finding clusters, from the susceptibility of the similarity matrix E. Lippiello et al. 10.1016/j.physa.2023.128592
18. Comparison of different seismic networks efficiencies in earthquake forecasting models S. Dehkordi et al. 10.1140/epjp/s13360-021-01783-4
19. A review on clustering algorithms for spatiotemporal seismicity analysis R. Vijay et al. 10.1007/s10462-025-11229-3
20. Modeling of Colombian Seismicity as Small‐World Networks D. León et al. 10.1785/0220180076
21. A complex network model for seismicity based on mutual information A. Jiménez 10.1016/j.physa.2013.01.062
22. Apparent triggering function of aftershocks resulting from rate‐dependent incompleteness of earthquake catalogs S. Hainzl 10.1002/2016JB013319
23. Reservoir-Triggered Earthquakes Around the Atatürk Dam (Southeastern Turkey) P. Büyükakpınar et al. 10.3389/feart.2021.663385
24. Complex Network Study of Solar Magnetograms V. Muñoz & E. Flández 10.3390/e24060753
25. Fractional Criticality Theory and Its Application in Seismology B. Shevtsov & O. Sheremetyeva 10.3390/fractalfract7120890
26. Shear deformation in CuZr metallic glass: A statistical and complex network analysis F. Corvacho et al. 10.1016/j.mtcomm.2024.108298
27. 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. 10.1016/j.earscirev.2007.11.001
28. Analysis of emergent fault element behavior in Virtual California M. Glasscoe et al. 10.1002/cpe.1546
29. Increase of order in seismic processes around large reservoir induced by water level periodic variation T. Matcharashvili et al. 10.1007/s11071-007-9219-0
30. Generalized Omori–Utsu law for aftershock sequences in southern California J. Davidsen et al. 10.1093/gji/ggv061
31. No Evidence of Magnitude Clustering in an Aftershock Sequence of Nano- and Picoseismicity J. Davidsen et al. 10.1103/PhysRevLett.108.038501
32. Leveraging spurious Omori-Utsu relation in the nearest-neighbor declustering method A. Puy et al. 10.1103/PhysRevE.111.024307
33. Modeling the global ionospheric variations based on complex network S. Lu et al. 10.1016/j.jastp.2018.01.017
34. Probabilistic identification of earthquake clusters using rescaled nearest neighbour distance networks K. Bayliss et al. 10.1093/gji/ggz034
35. Generalizable deep learning models for predicting laboratory earthquakes C. Wang et al. 10.1038/s43247-025-02200-9
36. 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. 10.1016/j.jsames.2015.07.009
37. Complex network description of the ionosphere S. Lu et al. 10.5194/npg-25-233-2018
38. Scale free properties in a network-based integrated approach to earthquake pattern analysis M. Suteanu 10.5194/npg-21-427-2014
39. Incorporating Foreshocks in an Epidemic-like Description of Seismic Occurrence in Italy G. Petrillo & E. Lippiello 10.3390/app13084891
40. Forecasting induced seismicity in enhanced geothermal systems using machine learning: challenges and opportunities S. Karimpouli et al. 10.1093/gji/ggaf155
41. Complex earthquake networks: Hierarchical organization and assortative mixing S. Abe & N. Suzuki 10.1103/PhysRevE.74.026113
42. Testing of the foreshock hypothesis within an epidemic like description of seismicity G. Petrillo & E. Lippiello 10.1093/gji/ggaa611
43. Aftershocks Identification and Classification G. Riga & P. Balocchi 10.4236/ojer.2017.63008
44. Analysis of the Spatial Distribution Between Successive Earthquakes J. Davidsen & M. Paczuski 10.1103/PhysRevLett.94.048501
45. Explainable machine learning for labquake prediction using catalog-driven features S. Karimpouli et al. 10.1016/j.epsl.2023.118383
46. Aspects of Structure in Earthquake Networks M. Suteanu 10.1007/s00024-014-0939-z
47. Identification and spatiotemporal organization of aftershocks M. Bottiglieri et al. 10.1029/2008JB005941
48. Power law distribution of seismic rates: theory and data analysis A. Saichev & D. Sornette 10.1140/epjb/e2006-00075-3
49. 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. 10.3390/app112110093
50. The influence of the brittle-ductile transition zone on aftershock and foreshock occurrence G. Petrillo et al. 10.1038/s41467-020-16811-7
51. Analysis of complex networks associated to seismic clusters near the Itoiz reservoir dam A. Jiménez et al. 10.1140/epjst/e2009-01099-1
52. Foreshocks and short-term hazard assessment of large earthquakes using complex networks: the case of the 2009 L'Aquila earthquake E. Daskalaki et al. 10.5194/npg-23-241-2016
53. Towards evidence of long-range correlations in shallow seismic activities D. Ferreira et al. 10.1209/0295-5075/121/58003
54. Renormalization of branching models of triggered seismicity from total to observable seismicity A. Saichev & D. Sornette 10.1140/epjb/e2006-00242-6
55. Statistical physics approach to earthquake occurrence and forecasting L. de Arcangelis et al. 10.1016/j.physrep.2016.03.002
56. Long-range correlation studies in deep earthquakes global series D. Ferreira et al. 10.1016/j.physa.2020.125146
57. Scaling and Clustering in Southern California Earthquake Sequences: Insights from Percolation Theory Z. Zhao et al. 10.3390/e27040347
58. Rossby rogons in atmosphere and in the solar photosphere A. Misra & P. Shukla 10.1209/0295-5075/100/55001
59. Earthquake recurrence as a record breaking process J. Davidsen et al. 10.1029/2006GL026122
60. Analysing the topology of seismicity in the Hellenic arc using complex networks E. Daskalaki et al. 10.1007/s10950-013-9398-8
61. Time series analysis in earthquake complex networks D. Pastén et al. 10.1063/1.5023923
62. Comparison of the Hurst and DEA exponents between the catalogue and its clusters: The California case A. Jiménez 10.1016/j.physa.2011.01.023
63. Unsupervised clustering of catalogue-driven features for characterizing temporal evolution of labquake stress S. Karimpouli et al. 10.1093/gji/ggae071
64. Clustering Analysis of Seismicity and Aftershock Identification I. Zaliapin et al. 10.1103/PhysRevLett.101.018501
65. Depth‐Dependent Aftershock Trigger Potential Revealed by 3D‐ETAS Modeling B. Asayesh et al. 10.1029/2023JB026377
66. Signatures of criticality in turning avalanches of schooling fish A. Puy et al. 10.1103/PhysRevResearch.6.033270
67. Short-Term Earthquake Forecast with the Seismic Sequence Hierarchization Method G. Riga & P. Balocchi 10.4236/ojer.2016.52006
68. Statistics of weighted treelike networks E. Almaas et al. 10.1103/PhysRevE.71.036124
69. Scaling and precursor motifs in earthquake networks M. Baiesi 10.1016/j.physa.2005.05.094
70. Dynamical evolution of clustering in complex network of earthquakes S. Abe & N. Suzuki 10.1140/epjb/e2007-00259-3