21 citations as recorded by crossref.

1. Performance of a Theoretical Model for the Description of Water Balance and Runoff Dynamics in Southern Italy A. Gioia et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000879
2. Design flood estimation and utility of high‐resolution calibration data in small, heavily urbanised catchments G. Vesuviano & J. Miller https://doi.org/10.1111/jfr3.12464
3. Numerical investigation on the power of parametric and nonparametric tests for trend detection in annual maximum series V. Totaro et al. https://doi.org/10.5194/hess-24-473-2020
4. Probabilistic nature of storage delay parameter of the hydrologic model RORB: a case study for the Cooper's Creek catchment in Australia H. Patel & A. Rahman https://doi.org/10.2166/nh.2014.172
5. Application of Monte Carlo simulation technique for flood estimation for two catchments in New South Wales, Australia W. Caballero & A. Rahman https://doi.org/10.1007/s11069-014-1251-z
6. Analysis of suspended sediment dynamics at event scale: comparison between a Mediterranean and an Alpine basin S. Pagano et al. https://doi.org/10.1080/02626667.2019.1606428
7. Application of Monte Carlo Simulation Technique to Design Flood Estimation: A Case Study for North Johnstone River in Queensland, Australia J. Charalambous et al. https://doi.org/10.1007/s11269-013-0398-9
8. Multivariate framework for the assessment of key forcing to Lake Malawi level variations in non-stationary frequency analysis C. Ngongondo et al. https://doi.org/10.1007/s10661-020-08519-4
9. Influence of infiltration and soil storage capacity on the skewness of the annual maximum flood peaks in a theoretically derived distribution A. Gioia et al. https://doi.org/10.5194/hess-16-937-2012
10. Regional Flood Frequency Analysis of the Pannonian Basin I. Leščešen & D. Dolinaj https://doi.org/10.3390/w11020193
11. Auto station precipitation data making up using an improved neuro net J. Lu & X. Zhang https://doi.org/10.1002/met.1960
12. Potential of Probabilistic Hydrometeorological Approach for Precipitation-Based Soil Moisture Estimation S. Das & R. Maity https://doi.org/10.1061/(ASCE)HE.1943-5584.0001034
13. Goodness-of-fit, identifiability and extrapolation: Can the Two-Component Extreme Value distribution be used in at-site flood frequency analysis? V. Totaro et al. https://doi.org/10.1016/j.jhydrol.2024.131590
14. Inundation risk for embanked rivers W. Strupczewski et al. https://doi.org/10.5194/hess-17-3111-2013
15. Diagnostic analysis of distributed input and parameter datasets in Mediterranean basin streamflow modeling P. Milella et al. https://doi.org/10.1016/j.jhydrol.2012.09.039
16. Assessment of the Combined Effects of Threshold Selection and Parameter Estimation of Generalized Pareto Distribution with Applications to Flood Frequency Analysis A. Gharib et al. https://doi.org/10.3390/w9090692
17. Flood frequency under the influence of trends in the Pearl River basin, China: changing patterns, causes and implications Q. Zhang et al. https://doi.org/10.1002/hyp.10278
18. Durum Wheat Cover Analysis in the Scope of Policy and Market Price Changes: A Case Study in Southern Italy S. Siad et al. https://doi.org/10.3390/agriculture7020012
19. Comparison of different methods describing the peak runoff contributing areas during floods A. Gioia et al. https://doi.org/10.1002/hyp.11169
20. Applicability of Monte Carlo cross validation technique for model development and validation using generalised least squares regression K. Haddad et al. https://doi.org/10.1016/j.jhydrol.2012.12.041
21. Rationale for flood prediction in karst endorheic areas V. Iacobellis et al. https://doi.org/10.1016/j.jaridenv.2014.05.018