17 citations as recorded by crossref.

1. Assessment of groundwater potential and determination of influencing factors using remote sensing and machine learning algorithms: A study of Nainital district of Uttarakhand state, India Y. Sharma et al. https://doi.org/10.1016/j.gsd.2024.101094
2. A new approach of coupled long-range forecasts for streamflow and groundwater level D. Robertson et al. https://doi.org/10.1016/j.jhydrol.2024.130837
3. Delineation of groundwater potential zones in Gazipur district using fuzzy logic techniques and GIS-remote sensing I. Hossen et al. https://doi.org/10.1007/s44274-026-00573-y
4. Calibration of groundwater seepage against the spatial distribution of the stream network to assess catchment-scale hydraulic properties R. Abhervé et al. https://doi.org/10.5194/hess-27-3221-2023
5. Contribution of electrical prospecting and spatiotemporal variations to groundwater potential in coastal hydro-sand beds: a case study of Akwa Ibom State, Southern Nigeria N. George et al. https://doi.org/10.1007/s11600-022-00994-2
6. Annual memory in the terrestrial water cycle W. Berghuijs et al. https://doi.org/10.5194/hess-29-1319-2025
7. A systematic GIS and remote sensing based approach for mapping groundwater recharge zones in Kallakurichi district, Tamil Nadu, India D. Subramani et al. https://doi.org/10.1007/s43621-025-02253-y
8. Climate-resilient groundwater potential zoning and intervention planning in the Nira River basin using ensemble machine learning, AHP, and CMIP6 scenarios K. Tomar et al. https://doi.org/10.1016/j.indic.2025.101050
9. MULTI-INFLUENCING FACTORS ASSESSMENT TO MAP THE GROUNDWATER POTENTIAL ZONES IN THE SOUTHERN DESERT OF IRAQ M. Shlash https://doi.org/10.30572/2018/KJE/170339
10. Data-driven insight into groundwater potential: A generalized additive model application for hilly region river catchment, central Nepal A. Pradhan et al. https://doi.org/10.1016/j.envc.2026.101606
11. Improving calibration of groundwater flow models using headwater streamflow intermittence R. Abhervé et al. https://doi.org/10.1002/hyp.15167
12. Assessment of land degradation susceptibility within the Shaqlawa subregion of Northern Iraq-Kurdistan Region via synergistic application of remotely acquired datasets and advanced predictive models B. Abdi et al. https://doi.org/10.1007/s10661-024-13284-9
13. Mapping groundwater-dependent ecosystems in a groundwater flow system: A case in central Mexico A. Salgado-Albiter et al. https://doi.org/10.1016/j.gsd.2026.101617
14. Differentiated landslide early warning in geologically complex regions: Integrating deep learning-based type prediction with type-specific rainfall thresholds Y. Zhu et al. https://doi.org/10.1007/s10346-026-02844-4
15. Enhancing Groundwater Recharge Assessment in Mediterranean Regions: A Comparative Study Using Analytical Hierarchy Process and Fuzzy Analytical Hierarchy Process Integrated with Geographic Information Systems for the Algiers Watershed F. Mezali et al. https://doi.org/10.3390/su17073242
16. Mapping groundwater dependent ecosystems potential for sustainable management of aquifers D. Charchousi et al. https://doi.org/10.1016/j.gsd.2025.101457
17. Field-integrated spatial framework to guide groundwater development in semi-arid hard rock terrain for water management K. Karan et al. https://doi.org/10.1007/s13201-026-02872-4