109 citations as recorded by crossref.

1. Simulating multimodal seasonality in extreme daily precipitation occurrence M. Tye et al. 10.1016/j.jhydrol.2016.03.038
2. Rare events in mixed-mode oscillations from weakly coupled lasers E. Doedel & C. Pando L. 10.1103/PhysRevE.100.052204
3. NONEXTENSIVE STATISTICAL MECHANICS DISTRIBUTIONS AND DYNAMICS OF FINANCIAL OBSERVABLES FROM THE NONLINEAR STOCHASTIC DIFFERENTIAL EQUATIONS J. RUSECKAS et al. 10.1142/S0219525912500737
4. Silver carp larva abundance in response to river flow rate revealed by cross-wavelet modelling F. Shuai et al. 10.1016/j.ecolmodel.2018.05.020
5. Quantification of Long-Range Persistence in Geophysical Time Series: Conventional and Benchmark-Based Improvement Techniques A. Witt & B. Malamud 10.1007/s10712-012-9217-8
6. Parametric excitation induced extreme events in MEMS and Liénard oscillator R. Suresh & V. Chandrasekar 10.1063/5.0012322
7. A recurrence-based technique for detecting genuine extremes in instrumental temperature records D. Faranda & S. Vaienti 10.1002/2013GL057811
8. Stochastic resource allocation for containerized cargo transportation networks when capacities are uncertain X. Wang 10.1016/j.tre.2016.06.004
9. Predictability of threshold exceedances in dynamical systems T. Bódai 10.1016/j.physd.2015.08.007
10. The latitudinal variation of geoelectromagnetic disturbances during large (Dst≤−100 nT) geomagnetic storms J. Woodroffe et al. 10.1002/2016SW001376
11. Identifying edges that facilitate the generation of extreme events in networked dynamical systems T. Bröhl & K. Lehnertz 10.1063/5.0002743
12. Return levels of temperature extremes in southern Pakistan M. Zahid et al. 10.5194/esd-8-1263-2017
13. Advance prediction of the March 11, 2011 Great East Japan Earthquake: A missed opportunity for disaster preparedness C. Davis et al. 10.1016/j.ijdrr.2012.03.001
14. Some Experiments in Extreme‐Value Statistical Modeling of Magnetic Superstorm Intensities J. Love 10.1029/2019SW002255
15. Self-Induced Switchings between Multiple Space-Time Patterns on Complex Networks of Excitable Units G. Ansmann et al. 10.1103/PhysRevX.6.011030
16. A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases A. Talaei-Khoei et al. 10.1016/j.artmed.2019.101750
17. Quantifying changes in spatial patterns of surface air temperature dynamics over several decades D. Zappalà et al. 10.5194/esd-9-383-2018
18. Intermittent large deviation of chaotic trajectory in Ikeda map: Signature of extreme events A. Ray et al. 10.1063/1.5092741
19. Some Properties of the WJ Distribution and Implication in Information Theory G. Liang et al. 10.1088/1742-6596/1237/2/022081
20. Numerical Convergence of the Block-Maxima Approach to the Generalized Extreme Value Distribution D. Faranda et al. 10.1007/s10955-011-0234-7
21. Extreme events due to localization of energy C. Mulhern et al. 10.1103/PhysRevE.91.012918
22. Universal Behaviour of Extreme Value Statistics for Selected Observables of Dynamical Systems V. Lucarini et al. 10.1007/s10955-012-0468-z
23. Extremes of fractional noises: A model for the timings of arrhythmic heart beats in post-infarction patients A. Witt et al. 10.1063/1.5003249
24. Economic networks: Heterogeneity-induced vulnerability and loss of synchronization C. Colon & M. Ghil 10.1063/1.5017851
25. Precursors to rare events in stochastic resonance L. Giorgini et al. 10.1209/0295-5075/129/40003
26. Noise amplification precedes extreme epileptic events on human EEG O. Karpov et al. 10.1103/PhysRevE.103.022310
27. Hydrological long-term dry and wet periods in the Xijiang River basin, South China T. Fischer et al. 10.5194/hess-17-135-2013
28. Static and dynamic resource allocation models for single-leg transportation markets with service disruptions X. Wang 10.1016/j.tre.2017.05.001
29. Using time-series analysis to predict disease counts with structural trend changes A. Talaei-Khoei & J. Wilson 10.1016/j.ipm.2018.11.004
30. Improving US extreme precipitation simulation: dependence on cumulus parameterization and underlying mechanism C. Sun & X. Liang 10.1007/s00382-020-05328-w
31. Introduction to the Special Issue on the Statistical Mechanics of Climate V. Lucarini 10.1007/s10955-020-02605-0
32. A nonstationary extreme value distribution for analysing the cessation of karst spring discharge Y. Liu et al. 10.1002/hyp.10013
33. A Bayesian analysis of Generalized Pareto Distribution of runoff minima Y. Liu et al. 10.1002/hyp.10606
34. Data-driven prediction and prevention of extreme events in a spatially extended excitable system S. Bialonski et al. 10.1103/PhysRevE.92.042910
35. Convergence of Extreme Value Statistics in a Two-Layer Quasi-Geostrophic Atmospheric Model V. Gálfi et al. 10.1155/2017/5340858
36. Multi-Scale Data Integration Challenges in the Observational Science Data Space L. Berti-Équille 10.1524/itit.2012.0672
37. Towards a General Theory of Extremes for Observables of Chaotic Dynamical Systems V. Lucarini et al. 10.1007/s10955-013-0914-6
38. Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker--Planck Equations in Large Dimensions N. Chen et al. 10.1137/17M1142004
39. Monitoring and statistical analysis of mine subsidence at three metal mines in China X. Hui et al. 10.1007/s10064-018-1367-6
40. Downscaling fire weather extremes from historical and projected climate models P. Jain et al. 10.1007/s10584-020-02865-5
41. Power-law frequency distribution of H/V spectral ratio of seismic signals: Evidence for a critical crust P. Signanini & A. De Santis 10.5047/eps.2011.08.006
42. Enhancing resilience of systems to individual and systemic risk: Steps toward an integrative framework S. Hochrainer-Stigler et al. 10.1016/j.ijdrr.2020.101868
43. Driving a conceptual model climate by different processes: Snapshot attractors and extreme events T. Bódai et al. 10.1103/PhysRevE.87.022822
44. An overview of the extremal index N. Moloney et al. 10.1063/1.5079656
45. Computation of Extreme Values of Time Averaged Observables in Climate Models with Large Deviation Techniques F. Ragone & F. Bouchet 10.1007/s10955-019-02429-7
46. The statistical behavior of PM10 events over guadeloupean archipelago: Stationarity, modelling and extreme events T. Plocoste et al. 10.1016/j.atmosres.2020.104956
47. Review article: Hilbert problems for the climate sciences in the 21st century – 20 years later M. Ghil 10.5194/npg-27-429-2020
48. Understanding the origin of extreme events in El Niño southern oscillation A. Ray et al. 10.1103/PhysRevE.101.062210
49. Global assessment of primate vulnerability to extreme climatic events L. Zhang et al. 10.1038/s41558-019-0508-7
50. Route to extreme events in excitable systems R. Karnatak et al. 10.1103/PhysRevE.90.022917
51. Creating extreme weather time series through a quantile regression ensemble M. Herrera et al. 10.1016/j.envsoft.2018.03.007
52. Elastic waves induced transport along slab-like solid-gouge interfaces K. Chu 10.1016/j.soildyn.2018.05.032
53. The Role of Oscillatory Modes in U.S. Business Cycles A. Groth et al. 10.2139/ssrn.2077454
54. Long-term ground deformation patterns of Bucharest using multi-temporal InSAR and multivariate dynamic analyses: a possible transpressional system? I. Armaş et al. 10.1038/srep43762
55. Parsimonious nonstationary flood frequency analysis J. Serago & R. Vogel 10.1016/j.advwatres.2017.11.026
56. Forecasting the urban skyline with extreme value theory J. Auerbach & P. Wan 10.1016/j.ijforecast.2019.09.004
57. Extreme Climate Effects on Dissolved Organic Carbon Concentrations During Snowmelt T. Tiwari et al. 10.1002/2017JG004272
58. GENERALIZED EXTREME VALUE DISTRIBUTION PARAMETERS AS DYNAMICAL INDICATORS OF STABILITY D. FARANDA et al. 10.1142/S0218127412502768
59. Extremes in dynamic-stochastic systems C. Franzke 10.1063/1.4973541
60. Robustness of estimators of long-range dependence and self-similarity under non-Gaussianity C. Franzke et al. 10.1098/rsta.2011.0349
61. Computing return times or return periods with rare event algorithms T. Lestang et al. 10.1088/1742-5468/aab856
62. Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques M. Flach et al. 10.5194/esd-8-677-2017
63. Times of Increased Probabilities for Occurrence of World’s Largest Earthquakes: 30 Years Hypothesis Testing in Real Time V. Kossobokov & P. Shchepalina 10.1134/S1069351320010061
64. Influence of time-delay feedback on extreme events in a forced Liénard system R. Suresh & V. Chandrasekar 10.1103/PhysRevE.98.052211
65. Extreme Events: Mechanisms and Prediction M. Farazmand & T. Sapsis 10.1115/1.4042065
66. Bunched black (and grouped grey) swans: Dissipative and non-dissipative models of correlated extreme fluctuations in complex geosystems N. Watkins 10.1002/grl.50103
67. Extreme events in a network of heterogeneous Josephson junctions A. Ray et al. 10.1103/PhysRevE.101.032209
68. Impacts of droughts and extreme-temperature events on gross primary production and ecosystem respiration: a systematic assessment across ecosystems and climate zones J. von Buttlar et al. 10.5194/bg-15-1293-2018
69. A self-similarity principle for the computation of rare event probability M. Hassanaly & V. Raman 10.1088/1751-8121/ab5313
70. A universal mechanism of extreme events and critical phenomena J. Wu & Q. Jia 10.1038/srep21612
71. Fragmentation of production amplifies systemic risks from extreme events in supply-chain networks C. Colon et al. 10.1371/journal.pone.0244196
72. Russian climate studies in 2011–2014 I. Mokhov 10.1134/S0001433817050097
73. Analysis and modelling of a 9.3 kyr palaeoflood record: correlations, clustering, and cycles A. Witt et al. 10.5194/hess-21-5547-2017
74. Period of Measurement in Time-Series Predictions of Disease Counts from 2007 to 2017 in Northern Nevada: Analytics Experiment A. Talaei-Khoei et al. 10.2196/11357
75. Combining large model ensembles with extreme value statistics to improve attribution statements of rare events S. Sippel et al. 10.1016/j.wace.2015.06.004
76. Drought, Heat, and the Carbon Cycle: a Review S. Sippel et al. 10.1007/s40641-018-0103-4
77. A few extreme events dominate global interannual variability in gross primary production J. Zscheischler et al. 10.1088/1748-9326/9/3/035001
78. How important are hubs for the generation of extreme events in networks of excitable units? T. Rings et al. 10.1140/epjst/e2017-70021-3
79. Physically interpretable machine learning algorithm on multidimensional non-linear fields R. Mouradi et al. 10.1016/j.jcp.2020.110074
80. Drought vulnerability among China's ungulates and mitigation offered by protected areas L. Zhang et al. 10.1111/csp2.177
81. Persistent regimes and extreme events of the North Atlantic atmospheric circulation C. Franzke 10.1098/rsta.2011.0471
82. Climate extremes and the carbon cycle M. Reichstein et al. 10.1038/nature12350
83. Technical note: comparison of methods for threshold selection for extreme sea levels C. Caballero-Megido et al. 10.1111/jfr3.12296
84. Mathematical and physical ideas for climate science V. Lucarini et al. 10.1002/2013RG000446
85. Return times of hot and cold days via recurrences and extreme value theory D. Faranda et al. 10.1007/s00382-016-3042-6
86. Recurrence Spectra of European Temperature in Historical Climate Simulations M. Alvarez-Castro et al. 10.3390/atmos10040166
87. Rare events in complex systems: Understanding and prediction N. Malik & U. Ozturk 10.1063/5.0024145
88. Coupling a minimal stochastic lattice gas model of a cloud system to an atmospheric general circulation model F. Ragone et al. 10.1002/qj.2331
89. Major dust events in Europe during marine isotope stage 5 (130–74 ka): a climatic interpretation of the "markers" D. Rousseau et al. 10.5194/cp-9-2213-2013
90. New records of monthly temperature extremes as a signal of climate change in Italy S. Amendola et al. 10.1002/joc.5952
91. Predictability of Extreme Events in Social Media J. Miotto et al. 10.1371/journal.pone.0111506
92. A model-based comparison of extreme winds in the Arctic and around Greenland O. Gutjahr & G. Heinemann 10.1002/joc.5729
93. Mixing properties in the advection of passive tracers via recurrences and extreme value theory D. Faranda et al. 10.1103/PhysRevE.89.052901
94. Simulation of extreme heat waves with empirical importance sampling P. Yiou & A. Jézéquel 10.5194/gmd-13-763-2020
95. Detection of Extreme Phenomena in the Stable Boundary Layer over the Amazonian Forest F. Miranda et al. 10.3390/atmos11090952
96. Contrasting responses in dissolved organic carbon to extreme climate events from adjacent boreal landscapes in Northern Sweden T. Tiwari et al. 10.1088/1748-9326/ab23d4
97. Attribution of Decadal-Scale Lake-Level Trends in the Michigan-Huron System J. Hanrahan et al. 10.3390/w6082278
98. Identifying causal gateways and mediators in complex spatio-temporal systems J. Runge et al. 10.1038/ncomms9502
99. Fractal-Based Wavelet Filter for Separating Geophysical or Geochemical Anomalies from Background G. Chen & Q. Cheng 10.1007/s11004-017-9707-9
100. Extreme value theory for singular measures V. Lucarini et al. 10.1063/1.4718935
101. Extreme events in gross primary production: a characterization across continents J. Zscheischler et al. 10.5194/bg-11-2909-2014
102. Normal Mode Perspective on the 2016 QBO Disruption: Evidence for a Basic State Regime Transition B. Raphaldini et al. 10.1029/2020GL087274
103. Suppression of deterministic and stochastic extreme desynchronization events using anticipated synchronization J. Zamora-Munt et al. 10.1103/PhysRevE.89.012921
104. A Bayesian analysis of nonstationary generalized extreme value distribution of annual spring discharge minima Y. Hao et al. 10.1007/s12665-014-3552-7
105. With and without warning: managing ecosystems in a changing world M. Pace et al. 10.1890/150003
106. An end-to-end assessment of extreme weather impacts on food security E. Chavez et al. 10.1038/nclimate2747
107. The physics of climate variability and climate change M. Ghil & V. Lucarini 10.1103/RevModPhys.92.035002
108. The wind-driven ocean circulation: Applying dynamical systems theory to a climate problem M. Ghil 10.3934/dcds.2017008
109. Simulation of Nonstationary Spring Discharge Using Time Series Models Y. Liu et al. 10.1007/s11269-017-1783-6