19 citations as recorded by crossref.

1. Interpretable machine-learning intensity-duration-frequency (IDF) surface modeling in a data-scarce Ethiopian Rift Valley Lake Basin A. Tesfaye et al. https://doi.org/10.1016/j.ejrh.2026.103463
2. Spatial Heterogeneity of Land Use and Land Cover Changes as a Driver of Disproportionate Hydrological Impacts in a Tropical Mountain Water Tower P. Ndung’u et al. https://doi.org/10.1007/s10666-025-10078-2
3. Agricultural and meteorological drought variability assessment over the Rift Valley Lake Basin of Ethiopia T. Sinore et al. https://doi.org/10.1186/s12302-025-01238-y
4. Groundwater Dynamics and Aquifer–Stream Interactions in California’s San Joaquin River Basin: Insights from a Coupled SWAT+ Gwflow Framework T. Tigabu et al. https://doi.org/10.3390/su18179111
5. Lake-area shrinkage driven by the combined effects of climate change and human activities Q. Miao et al. https://doi.org/10.1016/j.ecolind.2025.113606
6. Land-use change and lake eutrophication: Stakeholders’ perceptions on practices and policies in Ethiopia A. Debay et al. https://doi.org/10.1016/j.indic.2025.100880
7. The Role of Metaheuristic Algorithms in Tuning Extreme Learning Machine Model for Lake Water Level Modeling G. Gelete et al. https://doi.org/10.1007/s11269-026-04633-z
8. Modeling ecosystem dynamics and services in Abijata-Shalla Lakes National Park under pressures from land use and climate change B. Dadi et al. https://doi.org/10.1016/j.envc.2026.101515
9. Climate-induced hydrological alterations in the Upper Blue Nile Basin, Ethiopia B. Tikuye et al. https://doi.org/10.1007/s40899-026-01339-3
10. Impact of anthropogenic pollution on lake ecosystem: a review of Koka and Ziway lakes in the Central Rift Valley, Ethiopia M. Mito et al. https://doi.org/10.1007/s11356-025-37244-z
11. Hydrochemical characterization and multivariate analysis of groundwater evolution in the Dabus River catchment, western Ethiopia G. Daddi et al. https://doi.org/10.1186/s12302-026-01392-x
12. Deep Learning Algorithm and Physically‐Based Hybrid Models for Assessing Hydrological Water Balance Components Under Climate Variability and Land Use and Land Cover Change Using Earth Observations and Remote Sensing Data: The Case of Gumara Catchment, Lake Tana Sub‐Basin, Ethiopia A. Asitatikie et al. https://doi.org/10.1111/1752-1688.70119
13. Bridging the gap: An interpretable coupled model (SWAT-ELM-SHAP) for blue-green water simulation in data-scarce basins Z. Guo et al. https://doi.org/10.1016/j.agwat.2024.109157
14. Groundwater resource assessment methods in the Ethiopian Rift Valley Basin: a systematic review T. Takele et al. https://doi.org/10.1680/jenes.25.00189
15. Climate change impacts on the small-scale hydropower potential for the Pungwe B hydropower scheme in Zimbabwe using a multi-model climate ensemble M. Muzava et al. https://doi.org/10.1016/j.pce.2025.104118
16. Hybrid GR4J-LSTM modeling for streamflow prediction of extreme events in data-scarce regions: Upper Blue Nile Basin, Ethiopia T. Mihret et al. https://doi.org/10.1016/j.ejrh.2025.102977
17. Integrated analysis of water storage variability using GRACE and SHETRAN modelling system in the Central Rift Valley basin of Ethiopia T. Tafesse et al. https://doi.org/10.1080/10106049.2025.2609391
18. Hybrid emotional neural networks and novel multi-model stacking algorithms for multi-lake water level fluctuation modeling G. Gelete et al. https://doi.org/10.1007/s12145-025-01733-z
19. Calibration and validation strategies of SWAT+ for streamflow simulation: a systematic review B. Admas et al. https://doi.org/10.3389/frwa.2026.1882804