71 citations as recorded by crossref.

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6. Reducing the uncertainty of time-varying hydrological model parameters using spatial coherence within a hierarchical Bayesian framework Z. Pan et al. https://doi.org/10.1016/j.jhydrol.2019.123927
7. Assessment of water resources and crop yield under future climate scenarios: A case study in a Warangal district of Telangana, India T. Chanapathi et al. https://doi.org/10.1007/s12040-019-1294-3
8. Streamflow estimation in ungauged basins using watershed classification and regionalization techniques G. Kanishka & T. Eldho https://doi.org/10.1007/s12040-020-01451-8
9. A Combined Method for Estimating Continuous Runoff by Parameter Transfer and Drainage Area Ratio Method in Ungauged Catchments Q. Li et al. https://doi.org/10.3390/w11051104
10. Impact of catchment classification on streamflow regionalization in ungauged catchments J. Swain & K. Patra https://doi.org/10.1007/s42452-019-0476-6
11. Global Evolution and Research Trends of the SWAT Model (1994–2024): A Comprehensive Bibliometric Analysis E. Karakoyun https://doi.org/10.34248/bsengineering.1961953
12. Uncertainty analysis in parameter regionalization for streamflow prediction in ungauged semi-arid catchments A. Estacio et al. https://doi.org/10.1080/02626667.2021.1913281
13. Reliability-weighted approach for streamflow prediction at ungauged catchments B. Gebeyehu et al. https://doi.org/10.1016/j.jhydrol.2023.129935
14. Runoff and sediment yield modeling in data-sparse catchments in the Garehsoo River basin, northern Iran M. Golshan et al. https://doi.org/10.1007/s12665-020-09084-2
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17. Simulating Dissolved Organic Carbon Dynamics in Non-perennial Rivers: A Novel SWAT-IR Modeling Approach O. Llanos-Paez et al. https://doi.org/10.1007/s41748-025-00736-6
18. Prediction uncertainty of evapotranspiration deficit index F. Wambura https://doi.org/10.1080/02626667.2024.2427354
19. Modeling best management practices and nature-based solutions for sediment and nutrient reduction with SWAT: A systematic review of parameterization approaches O. Abdelwahab et al. https://doi.org/10.1016/j.jenvman.2026.130653
20. Advancing real-time error correction of flood forecasting based on the hydrologic similarity theory and machine learning techniques P. Shi et al. https://doi.org/10.1016/j.envres.2024.118533
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22. Estimating rainfall–runoff model parameters for ungauged basins: application of NAM model to a Mediterranean water district C. Doulgeris & L. Bensasson https://doi.org/10.1080/02626667.2026.2729469
23. Accurate simulation of extreme rainfall–flood events via an improved distributed hydrological model J. Li et al. https://doi.org/10.1016/j.jhydrol.2024.132190
24. Assessing Spatio-Temporal Hydrological Impacts of Climate Change in the Siliana Watershed, Northwestern Tunisia I. El Ghoul et al. https://doi.org/10.3390/atmos15101209
25. Integrating tectonics and caesium-137 data for improved erosion modeling: A SWAT+ approach in the Raouz and Assifane watersheds, Moroccan Rif L. Ed-daoudy et al. https://doi.org/10.1016/j.sciaf.2026.e03360
26. Global‐scale regionalization of hydrologic model parameters H. Beck et al. https://doi.org/10.1002/2015WR018247
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28. Modelling ungauged catchments using the catchment runoff response similarity G. Tegegne & Y. Kim https://doi.org/10.1016/j.jhydrol.2018.07.042
29. An accurate evaluation of water availability in sub-arid Mediterranean watersheds through SWAT: Cega-Eresma-Adaja D. Rivas-Tabares et al. https://doi.org/10.1016/j.agwat.2018.09.012
30. Assessing the suitability of the SWAT model for Moroccan watersheds: a review of applications, challenges, and future prospects L. Ed-daoudy et al. https://doi.org/10.1007/s41207-024-00544-w
31. CHASE-PL—Future Hydrology Data Set: Projections of Water Balance and Streamflow for the Vistula and Odra Basins, Poland M. Piniewski et al. https://doi.org/10.3390/data2020014
32. Evaluating the Spatial and Temporal Transferability of Model Parameters of a Distributed Soil Conservation Service–Soil Moisture Antecedent–Simple Lag and Route Model for South Mediterranean Catchments A. Gara et al. https://doi.org/10.3390/w17040569
33. Estimating Discharge Time Series in Data-Scarce Mountainous Areas Using Remote Sensing Inversion and Regionalization Methods A. Wufu et al. https://doi.org/10.3390/rs18060958
34. Hydrological modeling and simulation of water balance components in northern Algeria's dam watersheds using GIS and SWAT C. Sedrati et al. https://doi.org/10.2166/wcc.2026.490
35. Runoff Modeling in Ungauged Catchments Using Machine Learning Algorithm-Based Model Parameters Regionalization Methodology H. Wu et al. https://doi.org/10.1016/j.eng.2021.12.014
36. Assessment of streamflow in ungauged basin by using physical similarity approach S. Barbhuiya et al. https://doi.org/10.1007/s12517-023-11786-3
37. Impact of land use land cover changes on flow uncertainty in Siliana watershed of northwestern Tunisia I. El Ghoul et al. https://doi.org/10.1016/j.catena.2022.106733
38. Risk assessment and sensitivity analysis of flash floods in ungauged basins using coupled hydrologic and hydrodynamic models W. Li et al. https://doi.org/10.1016/j.jhydrol.2019.03.002
39. Evaluate the Impacts of Land Use/Land Cover Dynamics on Stream Flow of Gelda Watershed, Upper Blue Nile Basin, Ethiopia M. Ayalew & T. Angelidis https://doi.org/10.2139/ssrn.3397018
40. Phosphorus speciation in coastal sediment of Osaka Bay: relation to anthropogenic phosphorus loading M. Rahman et al. https://doi.org/10.1088/1748-9326/ad66e5
41. Clustering of small watersheds in hilly areas based on complex network theory and similarity analysis D. Li et al. https://doi.org/10.2166/ws.2024.089
42. A hybrid technique to enhance the rainfall-runoff prediction of physical and data-driven model: a case study of Upper Narmada River Sub-basin, India S. Kumar et al. https://doi.org/10.1038/s41598-024-77655-5
43. Influence of spatial resolution of radar images on the parameterization and performance of SWAT model S. Ki et al. https://doi.org/10.1080/19443994.2016.1184496
44. Spring hydrograph simulation of karstic aquifers: Impacts of variable recharge area, intermediate storage and memory effects S. Hosseini et al. https://doi.org/10.1016/j.jhydrol.2017.06.018
45. Novel Approaches for Regionalising SWAT Parameters Based on Machine Learning Clustering for Estimating Streamflow in Ungauged Basins J. Senent-Aparicio et al. https://doi.org/10.1007/s11269-023-03678-8
46. Hydrological simulation and evaluation of drought conditions in the ungauged watershed Parishan lake Iran, using the SWAT model S. Ansarifard et al. https://doi.org/10.2166/wcc.2024.268
47. Investigating sensitivity of flow parameters and uncertainty analysis of nutrient transport and dispersion model in shallow water. (Case study: Peer-Bazar River and Anzali Wetland) M. Homami et al. https://doi.org/10.5004/dwt.2020.24858
48. A Review of the Application of the Soil and Water Assessment Tool (SWAT) in Karst Watersheds I. Al Khoury et al. https://doi.org/10.3390/w15050954
49. Interpretable machine learning on large samples for supporting runoff estimation in ungauged basins Y. Xu et al. https://doi.org/10.1016/j.jhydrol.2024.131598
50. Spatiotemporal attribution of runoff changes in the upper Yangtze River Basin using the SWAT+ model Y. Han et al. https://doi.org/10.1016/j.ejrh.2025.102753
51. Regionalization of hydrological model parameters for the semi-arid region of the northeast Brazil M. Virães & J. Cirilo https://doi.org/10.1590/2318-0331.241920180114
52. A Comparison of Two Soil Moisture Products S2MP and Copernicus-SSM Over Southern France H. Bazzi et al. https://doi.org/10.1109/JSTARS.2019.2927430
53. Evaluation of the impact of reservoirs on flood simulations using a hydrological model C. Liu et al. https://doi.org/10.1007/s11707-026-0210-9
54. Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review Y. Guo et al. https://doi.org/10.1002/wat2.1487
55. Time-varying hydrological simulation based on a SWD-SSC method J. Wang et al. https://doi.org/10.1016/j.ejrh.2024.101808
56. Climate models and hydrological parameter uncertainties in climate change impacts on monthly runoff and daily flow duration curve of a Mediterranean catchment H. Sellami et al. https://doi.org/10.1080/02626667.2015.1040801
57. The critical role of uncertainty in projections of hydrological extremes H. Meresa & R. Romanowicz https://doi.org/10.5194/hess-21-4245-2017
58. Improving a distributed hydrological model using evapotranspiration‐related boundary conditions as additional constraints in a data‐scarce river basin F. Wambura et al. https://doi.org/10.1002/hyp.11453
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60. Analysis of continuous streamflow regionalization methods within a virtual setting R. Arsenault & F. Brissette https://doi.org/10.1080/02626667.2016.1154557
61. Regionalization of SWAT model parameters for streamflow prediction in ungauged Mediterranean basins: a physical similarity approach with soil moisture remote sensing validation framework Z. Mabrouk et al. https://doi.org/10.1007/s40808-025-02612-8
62. Optimization approach to retrieve soil surface parameters from single-acquisition single-configuration SAR data A. Ghorbanian et al. https://doi.org/10.1016/j.crte.2018.11.005
63. Application of a newly developed large‐scale conceptual hydrological model in simulating streamflow for credibility testing in data scarce condition P. Paul et al. https://doi.org/10.1111/nrm.12283
64. Spatial and temporal patterns of flow intermittency in a Mediterranean basin using the SWAT+ model O. Llanos-Paez et al. https://doi.org/10.1080/02626667.2022.2155523
65. Evaluation of a spatialized agronomic model in predicting yield and N leaching at the scale of the Seine-Normandie Basin N. Beaudoin et al. https://doi.org/10.1007/s11356-016-7478-3
66. Uncertainty of drought information in a data-scarce tropical river basin F. Wambura https://doi.org/10.1016/j.ejrh.2020.100760
67. A review of Soil and Water Assessment Tool (SWAT) studies of Mediterranean catchments: Applications, feasibility, and future directions S. Aloui et al. https://doi.org/10.1016/j.jenvman.2022.116799
68. Improving streamflow predictions at ungauged locations with real-time updating: application of an EnKF-based state-parameter estimation strategy X. Xie et al. https://doi.org/10.5194/hess-18-3923-2014
69. Rationale and Efficacy of Assimilating Remotely Sensed Potential Evapotranspiration for Reduced Uncertainty of Hydrologic Models A. Rajib et al. https://doi.org/10.1029/2017WR021147
70. Modeling the Hydrologic Influence of Subsurface Tile Drainage Using the National Water Model P. Valayamkunnath et al. https://doi.org/10.1029/2021WR031242
71. Can continuous simulation be used as an alternative for flood regionalisation? A large sample example from Chile P. Acuña & A. Pizarro https://doi.org/10.1016/j.jhydrol.2023.130118