12 citations as recorded by crossref.

1. Synergizing google earth engine and earth observations for potential impact of land use/ land cover on air quality K. Jodhani et al. 10.1016/j.rineng.2024.102039
2. Identification of Dominant Hydrological Mechanisms Using Bayesian Inference, Multiple Statistical Hypothesis Testing, and Flexible Models C. Prieto et al. 10.1029/2020WR028338
3. Flood risk index in data-scarce river basins using the AHP and GIS approach P. Ramkar & S. Yadav 10.1007/s11069-021-04871-x
4. Hyperparameter optimization of regional hydrological LSTMs by random search: A case study from Basque Country, Spain F. Hosseini et al. 10.1016/j.jhydrol.2024.132003
5. Preface: Advances in pluvial and fluvial flood forecasting and assessment and flood risk management C. Prieto et al. 10.5194/nhess-24-3381-2024
6. Research Hotspots and Frontiers of Mountain Flood Disaster: Bibliometric and Visual Analysis Z. Liu et al. 10.3390/w15040673
7. How to mitigate flood events similar to the 1979 catastrophic floods in the lower Tagus D. Fernández-Nóvoa et al. 10.5194/nhess-24-609-2024
8. UAV based comprehensive modelling approach for flood hazard assessment and mitigation planning K. Darji et al. 10.1016/j.pce.2024.103609
9. Machine learning-based peak flow estimation for Nebraska streams S. Pokharel et al. 10.1080/15715124.2025.2469901
10. Flood risk index mapping in data scarce region by considering GIS and MCDA (FRI mapping in data scarce region by considering GIS and MCDA) S. Ray 10.1007/s10668-024-04641-2
11. Mesh grid stability and its impact on flood inundation through (2D) hydrodynamic HEC-RAS model with special use of Big Data platform—a study on Purna River of Navsari city A. Pathan et al. 10.1007/s12517-022-09813-w
12. Ensemble learning of catchment-wise optimized LSTMs enhances regional rainfall-runoff modelling − case Study: Basque Country, Spain F. Hosseini et al. 10.1016/j.jhydrol.2024.132269