23 citations as recorded by crossref.

1. Mixtures of experts for understanding model discrepancy in dynamic computer models D. Nott et al. https://doi.org/10.1016/j.csda.2013.04.020
2. The influence of deforestation and anthropogenic activities on runoff generation M. KHALEGHI https://doi.org/10.17221/130/2016-JFS
3. Regional analysis using the Geomorphologic Instantaneous Unit Hydrograph (GIUH) method M. KHALEGHI et al. https://doi.org/10.17221/33/2012-SWR
4. Contributions to linear systems analysis and use and to the internationalisation of hydrology: Jim Dooge and Eamonn Nash M. Bruen & J. O’Kane https://doi.org/10.1080/02626667.2025.2536013
5. Mechanistic interpretation of alpine glacierized environments: Part 1. Model formulation and related dynamical properties P. Perona & P. Burlando https://doi.org/10.1016/j.advwatres.2008.03.008
6. Evaluation of parameter setting for two GIS based unit hydrograph models M. Gibbs et al. https://doi.org/10.1016/j.jhydrol.2010.08.014
7. A review of the synthetic unit hydrograph: from the empirical UH to advanced geomorphological methods P. Singh et al. https://doi.org/10.1080/02626667.2013.870664
8. The Uncertainty in the Prediction of Flash Floods in the Northern Mediterranean Environment L. Ferraris et al. https://doi.org/10.1175/1525-7541(2002)003<0714:TUITPO>2.0.CO;2
9. Surface runoff in urban catchments: morphological identification of unit hydrographs from urban databanks F. Rodriguez et al. https://doi.org/10.1016/S0022-1694(03)00246-4
10. A comparison between natural forests and reforested lands in terms of runoff generation potential and hydrologic response (case study: Kasilian Watershed) E. GHOLZOM & V. GHOLAMI https://doi.org/10.17221/18/2012-SWR
11. Evaluation of the Velocity Parameter Estimation Methods in a Geomorphological Instantaneous Unit Hydrograph (GIUH) Model for Simulating Flood Hydrograph in Ungauged Catchments B. Grum et al. https://doi.org/10.1007/s11269-022-03360-5
12. Does the incorporation of process conceptualization and tracer data improve the structure and performance of a simple rainfall‐runoff model in a Scottish mesoscale catchment? D. Tetzlaff et al. https://doi.org/10.1002/hyp.6841
13. Neuroemulation: definition and key benefits for water resources research R. Abrahart et al. https://doi.org/10.1080/02626667.2012.658401
14. Synthesis of Unit Hydrographs from a Digital Elevation Model T. Cleveland et al. https://doi.org/10.1061/(ASCE)0733-9437(2008)134:2(212)
15. Efficiency of the geomorphologic instantaneous unit hydrograph method in flood hydrograph simulation M. Khaleghi et al. https://doi.org/10.1016/j.catena.2011.04.005
16. How does rainfall become runoff? A combined tracer and runoff transfer function approach M. Weiler et al. https://doi.org/10.1029/2003WR002331
17. Geomorphology-based artificial neural networks (GANNs) for estimation of direct runoff over watersheds B. Zhang & R. Govindaraju https://doi.org/10.1016/S0022-1694(02)00313-X
18. Use of Nash's IUH and DEMs to identify the parameters of an unequal‐reservoir cascade IUH model C. Li et al. https://doi.org/10.1002/hyp.7009
19. A rainfall-runoff model parameterized from GIS and runoff data T. Skaugen & C. Onof https://doi.org/10.1002/hyp.9968
20. A derived flood frequency distribution for correlated rainfall intensity and duration N. Goel et al. https://doi.org/10.1016/S0022-1694(00)00145-1
21. Incorporating Surface Storage and Slope to Estimate Clark Unit Hydrographs for Ungauged Indiana Watersheds J. Wilkerson & V. Merwade https://doi.org/10.1061/(ASCE)HE.1943-5584.0000270
22. The assessment of the contribution of overland flow to basin response by means of hydrological approach https://doi.org/10.3741/JKWRA.2006.39.7.553
23. Incorporating subsurface-flow mechanism into geomorphology-based IUH modeling K. Lee & C. Chang https://doi.org/10.1016/j.jhydrol.2005.01.008