50 citations as recorded by crossref.

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12. Extremes of fractional noises: A model for the timings of arrhythmic heart beats in post-infarction patients A. Witt et al. https://doi.org/10.1063/1.5003249
13. A new method of detecting abrupt dynamic change based on rescaled range analysis . Deng Bei-Sheng et al. https://doi.org/10.7498/aps.59.8264
14. Reversal in the drought stress response of the Scots pine forest ecosystem: Local soil water regime as a key to improving climate change resilience M. Bogachev et al. https://doi.org/10.1016/j.heliyon.2023.e21574
15. A new method for abrupt dynamic change detection of correlated time series W. He et al. https://doi.org/10.1002/joc.2367
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18. Statistical modeling of the Internet traffic dynamics: To which extent do we need long-term correlations? O. Markelov et al. https://doi.org/10.1016/j.physa.2017.05.023
19. Extreme events in the Higgs oscillator: A dynamical study and forecasting approach W. M et al. https://doi.org/10.1063/5.0248180
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22. Hurst scaling with crossover of a drought indicator: a case study in Belem and Manaus, Brazil H. Millán et al. https://doi.org/10.1007/s11069-021-04937-w
23. Effect of nonlinearity of discrete Langevin model on behavior of extremes in generated time series Z. Czechowski & L. Telesca https://doi.org/10.1016/j.chaos.2024.114927
24. Effect of asymmetric persistence in the modified nonlinear Langevin model on behavior of extremes in generated time series Z. Czechowski & L. Telesca https://doi.org/10.1016/j.chaos.2026.117914
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26. Universality in the precipitation and river runoff M. Bogachev & A. Bunde https://doi.org/10.1209/0295-5075/97/48011
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28. Information–Theoretic Analysis of Visibility Graph Properties of Extremes in Time Series Generated by a Nonlinear Langevin Equation L. Telesca & Z. Czechowski https://doi.org/10.3390/math12203197
29. CONTINUUM CLIMATE VARIABILITY: LONG-TERM MEMORY, SCALING, AND 1/F-NOISE K. FRAEDRICH et al. https://doi.org/10.1142/S0217979209063729
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36. The soundscape dynamics of human agglomeration H. Ribeiro et al. https://doi.org/10.1088/1367-2630/13/2/023028
37. Observations and modelling of 1/<i>f</i>-noise in weather and climate R. Blender et al. https://doi.org/10.5194/asr-6-137-2011
38. Quantification of Long-Range Persistence in Geophysical Time Series: Conventional and Benchmark-Based Improvement Techniques A. Witt & B. Malamud https://doi.org/10.1007/s10712-012-9217-8
39. A large deviation theory-based analysis of heat waves and cold spells in a simplified model of the general circulation of the atmosphere V. Gálfi et al. https://doi.org/10.1088/1742-5468/ab02e8
40. On the wrong inference of long-range correlations in climate data; the case of the solar and volcanic forcing over the Tropical Pacific C. Varotsos & M. Efstathiou https://doi.org/10.1007/s00704-016-1738-5
41. A novel method for detecting abrupt dynamic change based on the changing Hurst exponent of spatial images W. He et al. https://doi.org/10.1007/s00382-016-2983-0
42. Copulas and time series with long-ranged dependencies R. Chicheportiche & A. Chakraborti https://doi.org/10.1103/PhysRevE.89.042117
43. Ground-based GPS measurements: time behavior from half-hour to years I. Bordi et al. https://doi.org/10.1007/s00704-013-0923-z
44. Scaling and gender behavior of road accidental dynamics T. Qiu et al. https://doi.org/10.1209/0295-5075/108/58007
45. Study of the spatial distribution and the temporal trend of landslide disasters that occurred in the Nepal Himalayas from 2011 to 2020 R. KC et al. https://doi.org/10.1007/s12665-023-11347-7
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48. Intermittency, autoregression and censoring: a first-order AR model for daily precipitation A. Hannachi https://doi.org/10.1002/met.1353
49. Modelling Short- and Long-Term Dependencies of Clustered High-Threshold Exceedances in Significant Wave Heights P. Dissanayake et al. https://doi.org/10.3390/math9212817
50. Influence of anthropogenic forcing on the long‐range correlation of air temperature in China Y. Mei et al. https://doi.org/10.1002/joc.7914