91 citations as recorded by crossref.

1. Multifractal analysis of 2001Mw7.7Bhuj earthquake sequence in Gujarat, Western India S. Aggarwal et al. https://doi.org/10.1016/j.physa.2017.06.022
2. The earthquake network: the best time scale for network construction N. Lotfi https://doi.org/10.1007/s11600-023-01134-0
3. Complex aperture networks H. Ghaffari et al. https://doi.org/10.1016/j.physa.2012.11.001
4. Application of complex network theory to the recent foreshock sequences of Methoni (2008) and Kefalonia (2014) in Greece D. Chorozoglou et al. https://doi.org/10.1007/s11600-017-0039-4
5. Determination of the scale of coarse graining in earthquake networks S. Abe & N. Suzuki https://doi.org/10.1209/0295-5075/87/48008
6. Earthquake spatial dynamics analysis using event synchronization method A. Celikoglu https://doi.org/10.1016/j.pepi.2020.106524
7. Non-universal critical exponents in earthquake complex networks D. Pastén et al. https://doi.org/10.1016/j.physa.2017.09.064
8. Earthquake Networks as a Tool for Seismicity Investigation: a Review D. Chorozoglou et al. https://doi.org/10.1007/s00024-019-02253-w
9. Multifractal analysis of three large earthquakes in Chile: Antofagasta 1995, Valparaiso 1985, and Maule 2010 D. Pastén & D. Comte https://doi.org/10.1007/s10950-014-9432-5
10. Topological data analysis of the visibility graphs of the BTW avalanche-size sequences V. Adami et al. https://doi.org/10.1088/1751-8121/add4d4
11. A multi-component lattice Boltzmann approach to study the causality of plastic events P. Kumar et al. https://doi.org/10.1098/rsta.2019.0403
12. Characteristics of the topological properties in a seismic network of California S. Min & K. Kim https://doi.org/10.3938/jkps.65.964
13. Assortative mixing in functional brain networks during epileptic seizures S. Bialonski & K. Lehnertz https://doi.org/10.1063/1.4821915
14. Dynamical evolution of the community structure of complex earthquake network S. Abe & N. Suzuki https://doi.org/10.1209/0295-5075/99/39001
15. Graph theory—Recent developments of its application in geomorphology T. Heckmann et al. https://doi.org/10.1016/j.geomorph.2014.12.024
16. Complex System Analysis of Korean Peninsula Earthquake Data S. Chae et al. https://doi.org/10.1038/s41598-020-59619-7
17. Complex network description of the ionosphere S. Lu et al. https://doi.org/10.5194/npg-25-233-2018
18. Similar Seismic Activities Analysis by Using Complex Networks Approach X. He et al. https://doi.org/10.3390/sym12050778
19. On the Dynamical Analysis in Aftershock Networks W. Baek et al. https://doi.org/10.4236/ojer.2018.71002
20. Analysis of Key Factors of College Students’ Ideological and Political Education Based on Complex Network W. Lu et al. https://doi.org/10.1155/2022/6577878
21. Network of earthquakes and recurrences therein T. Krishna Mohan & P. Revathi https://doi.org/10.1007/s10950-010-9208-5
22. Observation of scale-free complex network behavior in the solar magnetic field along the 23rd solar cycle M. Castillo et al. https://doi.org/10.1063/5.0282290
23. Synchronization and scale in geomorphic systems J. Phillips https://doi.org/10.1016/j.geomorph.2010.09.028
24. Analysis of the network mechanism for sea surface temperatures around the Korean Peninsula W. Jung et al. https://doi.org/10.3938/jkps.60.566
25. Novel methods for creating an earthquake complex network using a declustered catalog A. Shahraki Ebrahimi et al. https://doi.org/10.1016/j.chaos.2021.110945
26. Soil Erosion Type and Risk Identification from the Perspective of Directed Weighted Complex Network P. Tu et al. https://doi.org/10.3390/su15031939
27. Graph theory in the geosciences J. Phillips et al. https://doi.org/10.1016/j.earscirev.2015.02.002
28. Characteristics of network metrics in seismic phenomena D. Kang et al. https://doi.org/10.3938/jkps.61.1163
29. A complex network model for seismicity based on mutual information A. Jiménez https://doi.org/10.1016/j.physa.2013.01.062
30. Principle of Minimum Energy in Magnetic Reconnection in a Self-organized Critical Model for Solar Flares N. Farhang et al. https://doi.org/10.3847/1538-4357/aac01b
31. Analysis of aperture evolution in a rock joint using a complex network approach H. Ghaffari et al. https://doi.org/10.1016/j.ijrmms.2009.02.012
32. Karst landform classification considering surface flow characteristics derived from digital elevation models H. Cao et al. https://doi.org/10.1002/esp.5715
33. Testing the structure of earthquake networks from multivariate time series of successive main shocks in Greece D. Chorozoglou et al. https://doi.org/10.1016/j.physa.2018.01.033
34. The network structure affects the fixation probability when it couples to the birth-death dynamics in finite population M. Dehghani et al. https://doi.org/10.1371/journal.pcbi.1009537
35. Universalities of earthquake-network characteristics S. Abe et al. https://doi.org/10.1007/s11434-011-4767-6
36. Long-range correlation studies in deep earthquakes global series D. Ferreira et al. https://doi.org/10.1016/j.physa.2020.125146
37. Finding communities in linear time by developing the seeds A. Zanjani & A. Darooneh https://doi.org/10.1103/PhysRevE.84.036109
38. Topological complexity of frictional interfaces: friction networks H. Ghaffari & R. Young https://doi.org/10.5194/npg-19-215-2012
39. Revealing correlations between b-value and complex networks critical exponent F. Martin & D. Pastén https://doi.org/10.1016/j.chaos.2026.118673
40. Aftershocks in modern perspectives: Complex earthquake network, aging, and non-Markovianity S. Abe & N. Suzuki https://doi.org/10.2478/s11600-012-0026-8
41. Defining the Scale to Build Complex Networks with a 40-Year Norwegian Intraplate Seismicity Dataset C. Pavez-Orrego & D. Pastén https://doi.org/10.3390/e25091284
42. SELF-ORGANIZED CRITICALITY IN AN EARTHQUAKE MODEL BASED ON ASSORTATIVE SCALE-FREE NETWORKS M. LIN & G. WANG https://doi.org/10.1142/S0129183111016385
43. Towards evidence of long-range correlations in shallow seismic activities D. Ferreira et al. https://doi.org/10.1209/0295-5075/121/58003
44. Analysis of complex networks associated to seismic clusters near the Itoiz reservoir dam A. Jiménez et al. https://doi.org/10.1140/epjst/e2009-01099-1
45. Monofractal and multifractal analysis of the spatial distribution of earthquakes in the central zone of Chile D. Pastén et al. https://doi.org/10.1103/PhysRevE.84.066123
46. Time series analysis in earthquake complex networks D. Pastén et al. https://doi.org/10.1063/1.5023923
47. DYNAMICAL ANALYSES USING VISIBILITIES IN FINANCIAL MARKETS S. MIN et al. https://doi.org/10.1142/S0218348X1650016X
48. Avalanches on the complex network of Rigan earthquake M. Najafi et al. https://doi.org/10.1209/0295-5075/130/20001
49. Analyzing and modeling real-world phenomena with complex networks: a survey of applications L. Costa et al. https://doi.org/10.1080/00018732.2011.572452
50. Complex Network Study of Solar Magnetograms V. Muñoz & E. Flández https://doi.org/10.3390/e24060753
51. Landform classification based on landform geospatial structure – a case study on Loess Plateau of China S. Lin et al. https://doi.org/10.1080/17538947.2022.2088874
52. Investigating small-world and scale-free structure of earthquake networks in Greece D. Chorozoglou et al. https://doi.org/10.1016/j.chaos.2019.03.018
53. Automatic Landform Recognition from the Perspective of Watershed Spatial Structure Based on Digital Elevation Models S. Lin et al. https://doi.org/10.3390/rs13193926
54. Exploring watershed structural variation during watershed evolution process under artificial rainfall experiment S. Lin & N. Chen https://doi.org/10.1007/s12145-023-01000-z
55. Exploring Spatio-temporal Dynamics of Cellular Automata for Pattern Recognition in Networks G. Miranda et al. https://doi.org/10.1038/srep37329
56. Motifs in earthquake networks: Romania, Italy, United States of America, and Japan G. Pană & A. Nicolin-Żaczek https://doi.org/10.1016/j.physa.2023.129301
57. Small world picture of worldwide seismic events D. Ferreira et al. https://doi.org/10.1016/j.physa.2014.04.024
58. Let's get connected: A new graph theory‐based approach and toolbox for understanding braided river morphodynamics G. Connor‐Streich et al. https://doi.org/10.1002/wat2.1296
59. Dynamical mechanism of two meteorological factors in a complicated region S. Seo & K. Kim https://doi.org/10.3938/jkps.66.1611
60. From brain to earth and climate systems: Small-world interaction networks or not? S. Bialonski et al. https://doi.org/10.1063/1.3360561
61. The Solar Flare Complex Network A. Gheibi et al. https://doi.org/10.3847/1538-4357/aa8951
62. Natural Time Analysis of Seismicity within the Mexican Flat Slab before the M7.1 Earthquake on 19 September 2017 E. Flores-Márquez et al. https://doi.org/10.3390/e22070730
63. Seismic link at plate boundary F. Ramdani et al. https://doi.org/10.1007/s12040-015-0577-6
64. High-order synchronization of stick–slip process: experiments on spring–slider system T. Chelidze et al. https://doi.org/10.1007/s11071-009-9536-6
65. Complex earthquake networks: Hierarchical organization and assortative mixing S. Abe & N. Suzuki https://doi.org/10.1103/PhysRevE.74.026113
66. Multifractal time evolution for intraplate earthquakes recorded in southern Norway during 1980–2021 D. Pastén & C. Pavez-Orrego https://doi.org/10.1016/j.chaos.2022.113000
67. Network connectivity between the winter Arctic Oscillation and summer sea ice in CMIP6 models and observations W. Gregory et al. https://doi.org/10.5194/tc-16-1653-2022
68. Quantitative analysis and spatial distribution of landform spatial structure on Loess Plateau S. Lin et al. https://doi.org/10.1177/03091333221134192
69. Monitoring earthquake network measures between main shocks in Greece D. Chorozoglou & E. Papadimitriou https://doi.org/10.1007/s10950-019-09820-7
70. Cycle-flow–based module detection in directed recurrence networks R. Banisch & N. Djurdjevac Conrad https://doi.org/10.1209/0295-5075/108/68008
71. Unraveling Spurious Properties of Interaction Networks with Tailored Random Networks S. Bialonski et al. https://doi.org/10.1371/journal.pone.0022826
72. Time-Based Network Analysis Before and After the $$M_w$$ M w  8.3 Illapel Earthquake 2015 Chile D. Pastén et al. https://doi.org/10.1007/s00024-016-1335-7
73. Modeling the global ionospheric variations based on complex network S. Lu et al. https://doi.org/10.1016/j.jastp.2018.01.017
74. Global Dynamical Network of the Spatially Correlated Pc2 Wave Response for the 2015 St. Patrick's Day Storm S. Chaudhry et al. https://doi.org/10.1029/2022JA031175
75. Investigation of earthquake recurrence networks: the cases of 2014 and 2015 aftershock sequences in Ionian Islands, Greece D. Chorozoglou & E. Papadimitriou https://doi.org/10.1007/s11069-020-03915-y
76. Contact temporal network during motility-induced phase separation I. Salas et al. https://doi.org/10.1103/t3k6-hcmr
77. A review on clustering algorithms for spatiotemporal seismicity analysis R. Vijay et al. https://doi.org/10.1007/s10462-025-11229-3
78. Analysis of topological properties in a seismic network W. Baek et al. https://doi.org/10.1016/j.physa.2011.11.047
79. Complex Networks and the b-Value Relationship Using the Degree Probability Distribution: The Case of Three Mega-Earthquakes in Chile in the Last Decade F. Martín & D. Pastén https://doi.org/10.3390/e24030337
80. Networks of Historical Contingency in Earth Surface Systems J. Phillips https://doi.org/10.1086/668557
81. Scale‐Free Structure of Surface‐Water Connectivity Within a Lowland River‐Floodplain Landscape C. Castillo et al. https://doi.org/10.1029/2020GL088378
82. Earthquake correlations and networks: A comparative study T. Krishna Mohan & P. Revathi https://doi.org/10.1103/PhysRevE.83.046109
83. A Prediction of Solar Cycle Maxima Using Visibility Graphs E. Flández & V. Muñoz https://doi.org/10.3847/1538-4357/adef43
84. Feature of topological properties in an earthquake network S. Min et al. https://doi.org/10.1016/j.physa.2015.08.062
85. Determination of the dynamical behavior of rainfalls by using a multifractal detrended fluctuation analysis S. Seo et al. https://doi.org/10.3938/jkps.61.658
86. Complexity of frictional interfaces: a complex network perspective H. Ghaffari et al. https://doi.org/10.1080/17486025.2012.727036
87. Multihazards Scenario Generator: A Network‐Based Simulation of Natural Disasters A. Dunant et al. https://doi.org/10.1111/risa.13723
88. A 22 yr Cycle of the Network Topology of Solar Active Regions E. Flández et al. https://doi.org/10.3847/1538-4357/ada60e
89. Spatiotemporal analysis of earthquake occurrence in synthetic and worldwide data D. Ferreira et al. https://doi.org/10.1016/j.chaos.2022.112814
90. Including dynamics in a network-based stochastic multihazard model: A virtual testbed for volcanic ashfall and flood risk assessment M. Bebbington et al. https://doi.org/10.1016/j.ijdrr.2025.105917
91. A model of random walks on complex networks for earthquakes and aftershocks S. Upadhyay et al. https://doi.org/10.1016/j.chaos.2026.118846