25 citations as recorded by crossref.

1. Assessment of some combinations of hard and fuzzy clustering techniques for regionalisation of catchments in Sefidroud basin A. Ahani & S. Mousavi Nadoushani https://doi.org/10.2166/hydro.2016.239
2. The efficiency of average linkage hierarchical clustering algorithm associated multi-scale bootstrap resampling in identifying homogeneous precipitation catchments Z. Chuan et al. https://doi.org/10.1088/1757-899X/342/1/012070
3. REGIONALIZATION OF WATERSHEDS USING SOFT COMPUTING TECHNIQUES V. Srinivas https://doi.org/10.1080/09715010.2009.10514974
4. Simultaneous Regionalization of Gauged and Ungauged Watersheds Using a Missing Data Clustering Method A. Ahani et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001916
5. Regional flood frequency analysis for the Gan-Ming River basin in China Z. Jingyi & M. Hall https://doi.org/10.1016/j.jhydrol.2004.03.018
6. Data mining techniques and applications – A decade review from 2000 to 2011 S. Liao et al. https://doi.org/10.1016/j.eswa.2012.02.063
7. Regional flood frequency analysis using kernel‐based fuzzy clustering approach B. Basu & V. Srinivas https://doi.org/10.1002/2012WR012828
8. Regionalization of watersheds by finite mixture models A. Ahani et al. https://doi.org/10.1016/j.jhydrol.2020.124620
9. A regional Bayesian POT model for flood frequency analysis M. Ribatet et al. https://doi.org/10.1007/s00477-006-0068-z
10. The Contribution of Landscape Ecology to Regionalization, Modelling, and Managing in Hydrology: Proposed Approach in the Context of Argentina I. Entraigas https://doi.org/10.1007/s40823-023-00095-w
11. Estimation of flood warning runoff thresholds in ungauged basins with asymmetric error functions E. Toth https://doi.org/10.5194/hess-20-2383-2016
12. Assessment of hydrological and seasonal controls over the nitrate flushing from a forested watershed using a data mining technique S. Rusjan & M. Mikoš https://doi.org/10.5194/hess-12-645-2008
13. Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan N. Mount et al. https://doi.org/10.1080/02626667.2016.1159683
14. A feature weighting and selection method for improving the homogeneity of regions in regionalization of watersheds A. Ahani et al. https://doi.org/10.1002/hyp.13139
15. Regionalization by fuzzy expert system based approach optimized by genetic algorithm S. Chavoshi et al. https://doi.org/10.1016/j.jhydrol.2013.01.033
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17. Influence of hydro-meteorological data spatial aggregation on streamflow modelling M. Girons Lopez & J. Seibert https://doi.org/10.1016/j.jhydrol.2016.08.026
18. Catchment classification based on characterisation of streamflow and precipitation time series E. Toth https://doi.org/10.5194/hess-17-1149-2013
19. Regional flood frequency analysis by combining self-organizing feature map and fuzzy clustering V. Srinivas et al. https://doi.org/10.1016/j.jhydrol.2007.09.046
20. Current awareness https://doi.org/10.1002/hyp.5126
21. Regional regression models of percentile flows for the contiguous United States: Expert versus data-driven independent variable selection G. Fouad et al. https://doi.org/10.1016/j.ejrh.2018.04.002
22. Establishing uncertainty ranges of hydrologic indices across climate and physiographic regions of the Congo River Basin P. Kabuya et al. https://doi.org/10.1016/j.ejrh.2020.100710
23. Current awareness https://doi.org/10.1002/hyp.5099
24. Elicitation by design in ecology: using expert opinion to inform priors for Bayesian statistical models S. Choy et al. https://doi.org/10.1890/07-1886.1
25. Uncertainty in index flood modelling due to calibration data sizes W. Wan Jaafar & D. Han https://doi.org/10.1002/hyp.8135