29 citations as recorded by crossref.

1. Impacts of Climate Change and Water Management on Hydrologic Fluxes in an Irrigated Basin M. Almahawis et al. https://doi.org/10.1061/JWRMD5.WRENG-7026
2. Modeling of Non-Point Source Contaminants in a River Basin: Implications for Watershed Management in Semi-Arid Regions A. Raj & R. Singh https://doi.org/10.1061/JHTRBP.HZENG-1659
3. Preface: Innovative monitoring techniques and modelling approaches for analysing hydrological processes in small basins B. Schmalz et al. https://doi.org/10.5194/adgeo-48-49-2019
4. Models for predicting nitrate leaching and assessing cover crop mitigation: A systematic review V. Daimonakos et al. https://doi.org/10.1016/j.jenvman.2026.130004
5. Determination of rainfed wheat agriculture potential through assimilation of remote sensing data with SWAT model case study: ZarrinehRoud Basin, Iran A. Rostami et al. https://doi.org/10.2166/ws.2022.160
6. Modelling framework for flow, sediments and nutrient loads in a large transboundary river watershed: A climate change impact assessment of the Nemunas River watershed N. Čerkasova et al. https://doi.org/10.1016/j.jhydrol.2021.126422
7. Modeling water and nitrogen dynamics from processing tomatoes under different management scenarios in the San Joaquin Valley of California I. Raij-Hoffman et al. https://doi.org/10.1016/j.ejrh.2022.101195
8. Integrating hydrological simulation and paddy yield prediction using SWAT in the Bharathapuzha River basin of South India D. Karunanidhi et al. https://doi.org/10.1038/s41598-026-45201-0
9. Coupling SWAT simulations with advanced machine learning models for district-level crop yield prediction in the Varuna River Basin S. Kushwaha et al. https://doi.org/10.2166/wcc.2026.549
10. Revisiting the application of the SWAT model in arid and semi-arid regions: a selection from 2009 to 2022 A. Rocha et al. https://doi.org/10.1007/s00704-023-04546-6
11. Large variability of nitrate load estimated from sparse measurements by typical methods in Atlantic Canada K. Liang et al. https://doi.org/10.3389/fenvs.2025.1557004
12. Land use changes impact on selected chemical denudation element and components of water cycle in small mountain catchment using SWAT model M. Kijowska-Strugała & W. Bochenek https://doi.org/10.1016/j.geomorph.2023.108747
13. Effect of Vegetation Degradation on Nitrate Retention Using NDVI and the SWAT Model in the Khemis Basin, Northwestern Algeria A. Benabdelkader et al. https://doi.org/10.1007/s10452-025-10216-8
14. Functional Multi‐Scale Integration of Agricultural Nitrogen‐Budgets Into Catchment Water Quality Modeling X. Yang et al. https://doi.org/10.1029/2021GL096833
15. Improved agricultural Water management in data-scarce semi-arid watersheds: Value of integrating remotely sensed leaf area index in hydrological modeling M. Paul et al. https://doi.org/10.1016/j.scitotenv.2021.148177
16. Water quality prediction using SWAT-ANN coupled approach N. Noori et al. https://doi.org/10.1016/j.jhydrol.2020.125220
17. How do varying nitrogen fertilization rates affect crop yields and riverine N2O emissions? A hybrid modeling study D. Panique-Casso et al. https://doi.org/10.1016/j.watres.2025.123242
18. Assessing climate change effects on streamflow and paddy production in the Bharathapuzha Basin Kerala G. Nair et al. https://doi.org/10.1038/s41598-026-52356-3
19. Comparative efficiency of the SWAT model and a deep learning model in estimating nitrate loads at the Tuckahoe creek watershed, Maryland J. Lee et al. https://doi.org/10.1016/j.scitotenv.2024.176256
20. Spatiotemporal distribution characteristics and key sources of nitrogen pollution in a typical agricultural watershed based on SWAT model W. Huiyong et al. https://doi.org/10.18307/2022.0213
21. Streamflow prediction based on the soil and water assessment tool in the Pajeú river basin, Brazilian semiarid T. Silva et al. https://doi.org/10.1016/j.jsames.2025.105420
22. The Crop Generator: Implementing crop rotations to effectively advance eco-hydrological modelling D. Sietz et al. https://doi.org/10.1016/j.agsy.2021.103183
23. Assessing Crop Water Productivity under Different Irrigation Scenarios in the Mid–Atlantic Region M. Paul et al. https://doi.org/10.3390/w13131826
24. The coupled impacts of land management and climate variability on the hydrology of the Crocodile River Catchment in South Africa M. Nkosi & F. Mathivha https://doi.org/10.3389/frwa.2026.1751055
25. SWAT Machine Learning-Integrated Modeling for Ranking Watershed Vulnerability to Climate Variability and Land-Use Change in Alabama, USA, in 1990–2023 R. Arefin et al. https://doi.org/10.3390/environments12100395
26. An Investigation of the Impacts of Agricultural Management Strategies on Water Quality and Crop Yield Using the SWAT Model (Case Study: Dez Irrigation and Drainage Network) A. Bakhtiarifar et al. https://doi.org/10.1007/s41742-025-00787-7
27. Modeling environmental impact in a semi-arid intensive irrigated watershed F. Dechmi et al. https://doi.org/10.1016/j.agwat.2021.107115
28. Simulation of Climate Change Impacts on Crop Yield in the Saskatchewan Grain Belt Using an Improved SWAT Model M. Zare et al. https://doi.org/10.3390/agriculture13112102
29. Future water availability and crop yields in Kenya’s Sand River Basin enhanced by elevated CO2 under climate change P. Sarmiento et al. https://doi.org/10.1016/j.ejrh.2025.103029