50 citations as recorded by crossref.

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24. On the Importance of Statistical Homogeneity to the Scaling of Rain A. Jameson 10.1175/JTECH-D-18-0160.1
25. Multifractal Properties of Temporal Rainfall Series in Peninsular Malaysia S. Mariam Saad & N. Ismail 10.1088/1755-1315/616/1/012014
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29. The identification of an appropriate Minimum Inter‐event Time (MIT) based on multifractal characterization of rainfall data series M. Medina‐Cobo et al. 10.1002/hyp.10875
30. Assessing intensity-duration-frequency equations and spatialization techniques across the Grande River Basin in the state of Bahia, Brazil A. Barbosa et al. 10.1590/2318-0331.272220220083
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34. Water level prediction using long short-term memory neural network model for a lowland river: a case study on the Tisza River, Central Europe Z. Vizi et al. 10.1186/s12302-023-00796-3
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36. Forecast of the development of an emergency at hydraulic structures of the Republic of Tatarstan A. Shakirova et al. 10.1088/1755-1315/937/3/032020
37. A simple scheme to adjust Poisson cluster rectangular pulse rainfall models for improved performance at sub-hourly timescales J. Park et al. 10.1016/j.jhydrol.2021.126296
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41. A modified Multifractal Detrended Fluctuation Analysis (MFDFA) approach for multifractal analysis of precipitation J. Morales Martínez et al. 10.1016/j.physa.2020.125611
42. Circulation pattern based parameterization of a multiplicative random cascade for disaggregation of observed and projected daily rainfall time series D. Lisniak et al. 10.5194/hess-17-2487-2013
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44. Rain gauge networks’ limitations and the implications to hydrological modelling highlighted with a X-band radar I. Paz et al. 10.1016/j.jhydrol.2020.124615
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47. Multifractal analysis of solar flare indices and their horizontal visibility graphs Z. Yu et al. 10.5194/npg-19-657-2012
48. Multifractal characterization of meteorological drought in India using detrended fluctuation analysis S. Adarsh et al. 10.1002/joc.6070
49. Temporal rainfall disaggregation using a micro-canonical cascade model: possibilities to improve the autocorrelation H. Müller-Thomy 10.5194/hess-24-169-2020
50. Importance of anthropogenic climate impact, sampling error and urban development in sewer system design C. Egger & M. Maurer 10.1016/j.watres.2014.12.050