34 citations as recorded by crossref.

1. A Climatology of Rain-on-Snow Events for Norway P. Pall et al. https://doi.org/10.1175/JCLI-D-18-0529.1
2. Probabilistic Hydrological Estimation of LandSlides (PHELS): global ensemble landslide hazard modelling A. Felsberg et al. https://doi.org/10.5194/nhess-23-3805-2023
3. Double-threshold validation tool (DTVT): From landslide hazard maps to operational early warning systems N. Nocentini et al. https://doi.org/10.1016/j.ijdrr.2025.105786
4. The Application of Long Short-Term Memory(LSTM) Method on Displacement Prediction of Multifactor-Induced Landslides P. Xie et al. https://doi.org/10.1109/ACCESS.2019.2912419
5. Regional Analyses of Rainfall-Induced Landslide Initiation in Upper Gudbrandsdalen (South-Eastern Norway) Using TRIGRS Model L. Schilirò et al. https://doi.org/10.3390/geosciences11010035
6. Shallow landslides predisposing and triggering factors in developing a regional early warning system D. Tiranti et al. https://doi.org/10.1007/s10346-018-1096-8
7. A Regional-Scale Landslide Warning System Based on 20 Years of Operational Experience S. Segoni et al. https://doi.org/10.3390/w10101297
8. A critical review on rainfall induced landslide occurrences and early warning systems K. Ghosh & R. Saha https://doi.org/10.1080/17486025.2025.2496302
9. Using Field-Based Monitoring to Enhance the Performance of Rainfall Thresholds for Landslide Warning M. Abraham et al. https://doi.org/10.3390/w12123453
10. Evaluation of the dual-polarization weather radar quantitative precipitation estimation using long-term datasets T. Voormansik et al. https://doi.org/10.5194/hess-25-1245-2021
11. Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. https://doi.org/10.5194/nhess-18-2183-2018
12. Landslide Hazard and Rainfall Threshold Assessment: Incorporating Shallow and Deep-Seated Failure Mechanisms with Physics-Based Models R. Marin et al. https://doi.org/10.3390/geosciences14100280
13. Application of advanced geophysical and photogrammetric methods in modeling and monitoring an active landslide: A case study from Podhale (Southern Poland) M. Kamiński https://doi.org/10.1016/j.enggeo.2025.108484
14. Dynamic evolution from shallow landslide to fluidized debris flow in a field-scale experiment M. Reid & H. Ochiai https://doi.org/10.1007/s10346-025-02539-2
15. Geographical landslide early warning systems F. Guzzetti et al. https://doi.org/10.1016/j.earscirev.2019.102973
16. Evaluation of rainfall threshold models for debris flow initiation in the Jiangjia Gully, Yunnan Province, China H. Yang et al. https://doi.org/10.1007/s11629-023-8507-6
17. Application of Empirical Approaches for Fast Landslide Hazard Management: The Case Study of Theilly (Italy) S. Segoni et al. https://doi.org/10.3390/w14213485
18. A novel prototype national-scale landslide nowcasting system for Italy combining rainfall thresholds and risk indicators S. Segoni et al. https://doi.org/10.1007/s10346-024-02452-0
19. Preface: Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception S. Segoni et al. https://doi.org/10.5194/nhess-18-3179-2018
20. A Tool for the Automatic Aggregation and Validation of the Results of Physically Based Distributed Slope Stability Models M. Bulzinetti et al. https://doi.org/10.3390/w13172313
21. The Occurrence of Widespread Slush Flow Events as an Indicator of Accelerating Climate Change in the Northwestern Italian Alps I. Chiambretti et al. https://doi.org/10.3390/geohazards7020067
22. Editorial: Landslide Hazard in a Changing Environment D. Tiranti & R. Cremonini https://doi.org/10.3389/feart.2019.00003
23. Calibration scenarios for physically based rainfall-induced landslide modelling at regional scale. Application to Vall d’Aran (Central Pyrenees, Spain) F. Asurza et al. https://doi.org/10.1007/s10064-025-04697-y
24. Reanalysis of Soil Moisture Used for Rainfall Thresholds for Rainfall-Induced Landslides: The Italian Case Study N. Bezak et al. https://doi.org/10.3390/w13141977
25. A prototype landslide early warning system in Rize (Turkey): analyzing recent impacts to design a safer future S. Segoni et al. https://doi.org/10.1007/s10346-022-01988-3
26. Definition of 3D rainfall thresholds to increase operative landslide early warning system performances A. Rosi et al. https://doi.org/10.1007/s10346-020-01523-2
27. Spatiotemporal distribution, climatic factors, and seasonal precipitation patterns characterizing 66 years of widespread shallow landslide events in Piedmont (northwestern Italy) D. Tiranti & V. Botto https://doi.org/10.3389/feart.2026.1884300
28. Landslide risk reduction through close partnership between research, industry, and public entities in Norway: Pilots and case studies A. Solheim et al. https://doi.org/10.3389/feart.2022.855506
29. Estimation of extreme precipitation events in Estonia and Italy using dual-polarization weather radar quantitative precipitation estimations R. Cremonini et al. https://doi.org/10.5194/amt-16-2943-2023
30. The impact of interorganizational collaboration on the viability of disaster response operations: The Gjerdrum landslide in Norway R. Steen et al. https://doi.org/10.1016/j.ssci.2024.106459
31. Landslide Characteristics and Evolution: What We Can Learn from Three Adjacent Landslides D. Yang et al. https://doi.org/10.3390/rs13224579
32. Local-Scale Weather Forecasts over a Complex Terrain in an Early Warning Framework: Performance Analysis for the Val d’Agri (Southern Italy) Case Study G. Giunta et al. https://doi.org/10.1155/2022/2179246
33. Predisposing Factors for Shallow Landslides in Alpine and Hilly/Apennines Environments: A Case Study from Piemonte, Italy E. Fedato et al. https://doi.org/10.3390/geosciences13080252
34. The Weather Radar Observations Applied to Shallow Landslides Prediction: A Case Study From North-Western Italy R. Cremonini & D. Tiranti https://doi.org/10.3389/feart.2018.00134