43 citations as recorded by crossref.

1. Exploring the Interaction Between Landslides and Carbon Stocks in Italy J. Qadri & F. Ceccato
2. Explainable Machine Learning for Mapping Rainfall-Induced Landslide Thresholds in Italy X. Shao et al.
3. Large-scale assessment of rainfall-induced landslide hazard based on hydrometeorological information: application to Partenio Massif (Italy) D. Roman Quintero et al.
4. Evaluating Shallow Landslide Prediction Mapping by Using Two Different GIS-Based Models: 4SLIDE and SHALSTAB F. Moresi et al.
5. Event-based landslide inventory through very high-resolution optical images and field surveys P. Confuorto et al.
6. Road interruptions due to landslides and floods in Southern Italy O. Petrucci & S. Gariano
7. Geomorphological analysis and landslide susceptibility assessment of the Valcarene drainage basin (Elba Island, Northern Tyrrhenian Sea) P. Marrese et al.
8. Estimating Reactivation Times and Velocities of Slow-Moving Landslides via PS-InSAR and Their Relationship with Precipitation in Central Italy E. Ghaderpour et al.
9. Coupling finite element modelling and InSAR data for enhanced understanding of landslide behaviour along highway infrastructures A. Vitaletti et al.
10. Mapping and Spatiotemporal Analysis of Landslides Along the Costa Viola Transportation Network (Italy) M. Conforti & O. Petrucci
11. Understanding the spatial patterns of major geo-hydrological disasters in Italy using the CatBoost algorithm S. Segoni et al.
12. Landslide predictions through combined rainfall threshold models F. Guzzetti et al.
13. A probabilistic procedure to define multidimensional rainfall thresholds for territorial landslide warning models S. Zhang et al.
14. Fatal non-seismic rockfalls in Spain J. Corominas et al.
15. Hydro-Meteorological Landslide Inventory for Sustainable Urban Management in a Coastal Region of Brazil P. Hader et al.
16. Integrated Rainfall Estimation Using Rain Gauges and Weather Radar: Implications for Rainfall-Induced Landslides M. De Biase et al.
17. A dataset of universal equipment monitoring for loess landslides in Chengguan District, Lanzhou City (2023–2025) P. SHI et al.
18. Study on meteorological risk early warning for landslides based on analysis of extreme rainfall-induced clustering landslide events: a case of Bailong River Basin in China S. Liu et al.
19. Derivation of Landslide Rainfall Thresholds by Geostatistical Methods in Southwest China Z. Xu et al.
20. Comprehensive analysis and assessment of extreme rainfall-induced clustered landslides: a case study of southern Qingyuan city, Guangdong province, China, in June 2020 C. Xie et al.
21. A worldwide event-based debris flow barrier dam dataset from 1800 to 2023 H. Cheng et al.
22. Monitoring slow-moving landslides through PS-InSAR and antecedent precipitation index: a case study of Petacciato, Italy D. Rana et al.
23. Predicting the performance of a functional ecological substrate via a generative model based on an orthogonal experiment G. Lin et al.
24. Preliminary approach to predict the reactivation of long-term kinematics landslides through noval synergistic stacked deep learning approach M. Khalili et al.
25. Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al.
26. An enhanced rainfall-induced landslide catalogue in Italy M. Brunetti et al.
27. Enhancing landslide-scale rainfall threshold predictive modeling for rainfall-induced red-bed soft rock landslide occurrence using a stock-taking approach Q. Li et al.
28. Short to long term space-time prediction of rain-induced landslides under uncertainty A. Mondini et al.
29. Use of delayed ERA5-Land soil moisture products for improving landslide early warning N. Palazzolo et al.
30. PyLandslide: A Python tool for landslide susceptibility mapping and uncertainty analysis M. Basheer & T. Oommen
31. Independent demonstration of a deep-learning system for rainfall-induced landslide forecasting in Italy F. Guzzetti et al.
32. Tracking the November 26, 2022, Casamicciola debris flow through seismic signals (Ischia, southern Italy) S. Danesi et al.
33. First national inventory of high-elevation mass movements in the Italian Alps G. Nigrelli et al.
34. Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil H. Dias et al.
35. The Evaluation of Rainfall Warning Thresholds for Shallow Slope Stability Based on the Local Safety Factor Theory Y. Yang et al.
36. Insights Gained from the Review of Landslide Susceptibility Assessment Studies in Italy S. Segoni et al.
37. Assessment of Potential Landslide Scenarios Using Morphometry, Geomorphological Constraints, and Run-Out Analysis: A Case Study from Central Apennines (Italy) G. Paglia et al.
38. High Resolution Precipitation and Soil Moisture Data Integration for Landslide Susceptibility Mapping Y. Peiro et al.
39. Quantitative landslide risk assessment for Italy F. Caleca et al.
40. Multi-disciplinary reconstruction of debris flow events and dynamics in the Northern Apennines, Italy: A multi-scale approach linking ground evidence with climatic triggers M. Rashid et al.
41. How is the occurrence of rainfall-triggered landslides related to extreme rainfall? B. Zhao et al.
42. How will the projected climate change influence rainfall-induced landslides in Europe? A review of modelling approaches S. Gariano & G. Rianna
43. Landslide dynamic hazard prediction based on precipitation variation trend and backpropagation neural network R. Huang et al.