23 citations as recorded by crossref.

1. Scaling in the timing of extreme events Á. Corral https://doi.org/10.1016/j.chaos.2015.01.011
2. Noise-induced stabilization of saddle-node ghosts J. Sardanyés et al. https://doi.org/10.1088/1367-2630/abb549
3. Rain process models and convergence to point processes S. Hottovy & S. Stechmann https://doi.org/10.5194/npg-30-85-2023
4. Experimental investigation of the effect of thresholding on temporal statistics of avalanches M. Lebyodkin et al. https://doi.org/10.1103/PhysRevE.95.032910
5. Data-driven prediction of thresholded time series of rainfall and self-organized criticality models A. Deluca et al. https://doi.org/10.1103/PhysRevE.91.052808
6. Bridging the Scaling Gap: A Review of Nonlinear Paradigms for the Estimation and Understanding of Extreme Rainfall from Heavy Storms K. Cheung https://doi.org/10.3390/fractalfract9120827
7. Shifts in Precipitation Accumulation Extremes During the Warm Season Over the United States C. Martinez‐Villalobos & J. Neelin https://doi.org/10.1029/2018GL078465
8. Precipitation Extremes and Water Vapor J. Neelin et al. https://doi.org/10.1007/s40641-021-00177-z
9. Understanding Future Increases in Precipitation Extremes in Global Land Monsoon Regions M. Chang et al. https://doi.org/10.1175/JCLI-D-21-0409.1
10. Similarity in Fog and Rainfall Intermittency M. Räsänen et al. https://doi.org/10.1029/2018GL078837
11. Unravelling the relationship between extreme precipitation duration and wet-day frequency at global scale S. Liu & Y. Zhang https://doi.org/10.1038/s41598-025-06644-z
12. Long temporal autocorrelations in tropical precipitation data and spike train prototypes T. Abbott et al. https://doi.org/10.1002/2016GL071282
13. Climate models capture key features of extreme precipitation probabilities across regions C. Martinez-Villalobos & J. Neelin https://doi.org/10.1088/1748-9326/abd351
14. Increased extinction probability of the Madden-Julian oscillation after about 27 days Á. Corral et al. https://doi.org/10.1103/PhysRevE.108.054214
15. Scale invariant behavior of cropping area losses J. Torres-Rojo & R. Bahena-González https://doi.org/10.1016/j.agsy.2018.05.013
16. Why Do Precipitation Intensities Tend to Follow Gamma Distributions? C. Martinez-Villalobos & J. Neelin https://doi.org/10.1175/JAS-D-18-0343.1
17. Global warming precipitation accumulation increases above the current-climate cutoff scale J. Neelin et al. https://doi.org/10.1073/pnas.1615333114
18. Distinct flavors of Zipf's law and its maximum likelihood fitting: Rank-size and size-distribution representations Á. Corral et al. https://doi.org/10.1103/PhysRevE.102.052113
19. The identification of an appropriate Minimum Inter‐event Time (MIT) based on multifractal characterization of rainfall data series M. Medina‐Cobo et al. https://doi.org/10.1002/hyp.10875
20. The Brevity Law as a Scaling Law, and a Possible Origin of Zipf’s Law for Word Frequencies Á. Corral & I. Serra https://doi.org/10.3390/e22020224
21. Dependence of exponents on text length versus finite-size scaling for word-frequency distributions Á. Corral & F. Font-Clos https://doi.org/10.1103/PhysRevE.96.022318
22. Testing universality in critical exponents: The case of rainfall A. Deluca et al. https://doi.org/10.1103/PhysRevE.93.042301
23. Truncated lognormal distributions and scaling in the size of naturally defined population clusters Á. Corral et al. https://doi.org/10.1103/PhysRevE.101.042312