63 citations as recorded by crossref.

1. Constructing regional climate networks in the Amazonia during recent drought events H. Guo et al. https://doi.org/10.1371/journal.pone.0186145
2. Shortcomings of Transfer Entropy and Partial Transfer Entropy: Extending Them to Escape the Curse of Dimensionality A. Papana et al. https://doi.org/10.1142/S0218127420502508
3. A Quantitative Graph-Based Approach to Monitoring Ice-Wedge Trough Dynamics in Polygonal Permafrost Landscapes T. Rettelbach et al. https://doi.org/10.3390/rs13163098
4. Non-linear time series analysis of precipitation events using regional climate networks for Germany A. Rheinwalt et al. https://doi.org/10.1007/s00382-015-2632-z
5. Multiscale Fluctuation Features of the Dynamic Correlation between Bivariate Time Series M. Jiang et al. https://doi.org/10.1155/2016/4742060
6. Nonlinearity in stock networks D. Hartman & J. Hlinka https://doi.org/10.1063/1.5023309
7. How complex climate networks complement eigen techniques for the statistical analysis of climatological data J. Donges et al. https://doi.org/10.1007/s00382-015-2479-3
8. A Novel Information Theoretical Criterion for Climate Network Construction S. Cornejo-Bueno et al. https://doi.org/10.3390/sym12091500
9. Which Brain Regions are Important for Seizure Dynamics in Epileptic Networks? Influence of Link Identification and EEG Recording Montage on Node Centralities C. Geier & K. Lehnertz https://doi.org/10.1142/S0129065716500337
10. Distinguishing the effects of internal and forced atmospheric variability in climate networks J. Deza et al. https://doi.org/10.5194/npg-21-617-2014
11. The Multiscale Conformation Evolution of the Financial Time Series S. Huang et al. https://doi.org/10.1155/2015/563145
12. Non-random correlation structures and dimensionality reduction in multivariate climate data M. Vejmelka et al. https://doi.org/10.1007/s00382-014-2244-z
13. Graph theory in the geosciences J. Phillips et al. https://doi.org/10.1016/j.earscirev.2015.02.002
14. Testing the randomness of correlation networks from multivariate time series D. Chorozoglou et al. https://doi.org/10.1093/comnet/cny020
15. Analysis of Air Mean Temperature Anomalies by Using Horizontal Visibility Graphs J. Gómez-Gómez et al. https://doi.org/10.3390/e23020207
16. Spatial organization of connectivity in functional climate networks describing event synchrony of heavy precipitation F. Wolf & R. Donner https://doi.org/10.1140/epjs/s11734-021-00166-1
17. Network inference combining mutual information rate and statistical tests C. Antonopoulos https://doi.org/10.1016/j.cnsns.2022.106896
18. Pairwise network information and nonlinear correlations E. Martin et al. https://doi.org/10.1103/PhysRevE.94.040301
19. Information Flow in Animal-Robot Interactions S. Butail et al. https://doi.org/10.3390/e16031315
20. Climate Dynamics: A Network-Based Approach for the Analysis of Global Precipitation S. Scarsoglio et al. https://doi.org/10.1371/journal.pone.0071129
21. Inferring interdependencies in climate networks constructed at inter-annual, intra-season and longer time scales J. Deza et al. https://doi.org/10.1140/epjst/e2013-01856-5
22. Monitoring earthquake network measures between main shocks in Greece D. Chorozoglou & E. Papadimitriou https://doi.org/10.1007/s10950-019-09820-7
23. Transfer entropy computation using the Perron-Frobenius operator D. Diego et al. https://doi.org/10.1103/PhysRevE.99.042212
24. Complex network analysis helps to identify impacts of the El Niño Southern Oscillation on moisture divergence in South America N. Boers et al. https://doi.org/10.1007/s00382-014-2265-7
25. Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions T. Kittel et al. https://doi.org/10.1140/epjs/s11734-021-00269-9
26. Unified functional network and nonlinear time series analysis for complex systems science: Thepyunicornpackage J. Donges et al. https://doi.org/10.1063/1.4934554
27. Network Structure Inference, A Survey I. Brugere et al. https://doi.org/10.1145/3154524
28. Earthquake Networks as a Tool for Seismicity Investigation: a Review D. Chorozoglou et al. https://doi.org/10.1007/s00024-019-02253-w
29. Causality in Reversed Time Series: Reversed or Conserved? J. Kořenek & J. Hlinka https://doi.org/10.3390/e23081067
30. Identifying important nodes in weighted functional brain networks: A comparison of different centrality approaches M. Kuhnert et al. https://doi.org/10.1063/1.4729185
31. Synchronization and causality across time scales in El Niño Southern Oscillation N. Jajcay et al. https://doi.org/10.1038/s41612-018-0043-7
32. Statistical Mechanics and Information-Theoretic Perspectives on Complexity in the Earth System G. Balasis et al. https://doi.org/10.3390/e15114844
33. Inferring interdependencies in climate networks constructed at inter-annual, intra-season and longer time scales J. Deza et al. https://doi.org/10.15248/proc.1.235
34. Interpretation of link fluctuations in climate networks during El Niño periods E. Martin et al. https://doi.org/10.1209/0295-5075/102/48003
35. Review article "On the origins of decadal climate variability: a network perspective" A. Tsonis & K. Swanson https://doi.org/10.5194/npg-19-559-2012
36. Mapping atmospheric waves and unveiling phase coherent structures in a global surface air temperature reanalysis dataset D. Zappala et al. https://doi.org/10.1063/1.5140620
37. Hierarchical structures in Northern Hemispheric extratropical winter ocean–atmosphere interactions M. Wiedermann et al. https://doi.org/10.1002/joc.4956
38. Network analysis methods of heliorelated time series I. Knyazeva & N. Makarenko https://doi.org/10.1134/S0016793212070067
39. Coupled network analysis revealing global monthly scale co-variability patterns between sea-surface temperatures and precipitation in dependence on the ENSO state N. Ekhtiari et al. https://doi.org/10.1140/epjs/s11734-021-00168-z
40. Evolution of atmospheric connectivity in the 20th century F. Arizmendi et al. https://doi.org/10.5194/npg-21-825-2014
41. A Gaussian graphical model approach to climate networks T. Zerenner et al. https://doi.org/10.1063/1.4870402
42. Global climate network evolves with North Atlantic Oscillation phases: Coupling to Southern Pacific Ocean O. Guez et al. https://doi.org/10.1209/0295-5075/103/68006
43. Topology and seasonal evolution of the network of extreme precipitation over the Indian subcontinent and Sri Lanka V. Stolbova et al. https://doi.org/10.5194/npg-21-901-2014
44. Validation practices for satellite‐based Earth observation data across communities A. Loew et al. https://doi.org/10.1002/2017RG000562
45. Non-linear dependence and teleconnections in climate data: sources, relevance, nonstationarity J. Hlinka et al. https://doi.org/10.1007/s00382-013-1780-2
46. Reliability of Inference of Directed Climate Networks Using Conditional Mutual Information J. Hlinka et al. https://doi.org/10.3390/e15062023
47. Assortative mixing in functional brain networks during epileptic seizures S. Bialonski & K. Lehnertz https://doi.org/10.1063/1.4821915
48. Regional and inter-regional effects in evolving climate networks J. Hlinka et al. https://doi.org/10.5194/npg-21-451-2014
49. Exact detection of direct links in networks of interacting dynamical units N. Rubido et al. https://doi.org/10.1088/1367-2630/16/9/093010
50. Estimating time delays for constructing dynamical networks E. Martin & J. Davidsen https://doi.org/10.5194/npg-21-929-2014
51. Sign patterns symbolization and its use in improved dependence test for complex network inference A. Yamashita Rios de Sousa & J. Hlinka https://doi.org/10.1063/5.0160868
52. Small-world topology of functional connectivity in randomly connected dynamical systems J. Hlinka et al. https://doi.org/10.1063/1.4732541
53. Can spurious indications for phase synchronization due to superimposed signals be avoided? S. Porz et al. https://doi.org/10.1063/1.4890568
54. Disentangling different types of El Niño episodes by evolving climate network analysis A. Radebach et al. https://doi.org/10.1103/PhysRevE.88.052807
55. Correlation Networks from Flows. The Case of Forced and Time-Dependent Advection-Diffusion Dynamics L. Tupikina et al. https://doi.org/10.1371/journal.pone.0153703
56. The effect of time series distance functions on functional climate networks L. Ferreira et al. https://doi.org/10.1140/epjs/s11734-021-00274-y
57. On the effects of lag-times in networks constructed from similarities of monthly fluctuations of climate fields G. Tirabassi & C. Masoller https://doi.org/10.1209/0295-5075/102/59003
58. Multiscale complex network for analyzing experimental multivariate time series Z. Gao et al. https://doi.org/10.1209/0295-5075/109/30005
59. The theory of parallel climate realizations as a new framework for teleconnection analysis M. Herein et al. https://doi.org/10.1038/srep44529
60. Boundary effects in network measures of spatially embedded networks A. Rheinwalt et al. https://doi.org/10.1209/0295-5075/100/28002
61. Complex Systems Methods Characterizing Nonlinear Processes in the Near-Earth Electromagnetic Environment: Recent Advances and Open Challenges G. Balasis et al. https://doi.org/10.1007/s11214-023-00979-7
62. Multifractal analysis of air temperature in Brazil H. da Silva et al. https://doi.org/10.1016/j.physa.2020.124333
63. Characterizing the evolution of climate networks L. Tupikina et al. https://doi.org/10.5194/npg-21-705-2014