48 citations as recorded by crossref.

1. An updated landslide susceptibility model and a log-Gaussian Cox process extension for Scotland E. Bryce et al. 10.1007/s10346-024-02368-9
2. A Probabilistic Assessment of Soil Erosion Susceptibility in a Head Catchment of the Jemma Basin, Ethiopian Highlands M. Cama et al. 10.3390/geosciences10070248
3. Combining multi-typologies landslide susceptibility maps: a case study for the Visso area (central Italy) C. Martinello et al. 10.1080/17445647.2023.2198148
4. Investigating the Effects of Cell Size in Statistical Landslide Susceptibility Modelling for Different Landslide Typologies: A Test in Central–Northern Sicily C. Martinello et al. 10.3390/app13021145
5. Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model D. Camilo et al. 10.1016/j.envsoft.2017.08.003
6. Exploiting Maximum Entropy method and ASTER data for assessing debris flow and debris slide susceptibility for the Giampilieri catchment (north‐eastern Sicily, Italy) L. Lombardo et al. 10.1002/esp.3998
7. Space-time landslide predictive modelling L. Lombardo et al. 10.1016/j.earscirev.2020.103318
8. Improving transferability strategies for debris flow susceptibility assessment: Application to the Saponara and Itala catchments (Messina, Italy) M. Cama et al. 10.1016/j.geomorph.2017.03.025
9. Predicting Earthquake-Induced Landslides by Using a Stochastic Modeling Approach: A Case Study of the 2001 El Salvador Coseismic Landslides C. Mercurio et al. 10.3390/ijgi12040178
10. Landslide susceptibility maps of Italy: Lesson learnt from dealing with multiple landslide types and the uneven spatial distribution of the national inventory M. Loche et al. 10.1016/j.earscirev.2022.104125
11. Landslide susceptibility mapping using precipitation data, Mazandaran Province, north of Iran M. Arab Amiri & C. Conoscenti 10.1007/s11069-017-2962-8
12. Investigating Limits in Exploiting Assembled Landslide Inventories for Calibrating Regional Susceptibility Models: A Test in Volcanic Areas of El Salvador C. Martinello et al. 10.3390/app12126151
13. Surface temperature controls the pattern of post-earthquake landslide activity M. Loche et al. 10.1038/s41598-022-04992-8
14. Mapping Susceptibility to Debris Flows Triggered by Tropical Storms: A Case Study of the San Vicente Volcano Area (El Salvador, CA) C. Mercurio et al. 10.3390/earth2010005
15. Accounting for covariate distributions in slope-unit-based landslide susceptibility models. A case study in the alpine environment G. Amato et al. 10.1016/j.enggeo.2019.105237
16. From scenario-based seismic hazard to scenario-based landslide hazard: rewinding to the past via statistical simulations L. Luo et al. 10.1007/s00477-020-01959-x
17. Predicting gully occurrence at watershed scale: Comparing topographic indices and multivariate statistical models C. Conoscenti & E. Rotigliano 10.1016/j.geomorph.2020.107123
18. Landslide-hazard mapping through multi-technique activity assessment: an example from the Betic Cordillera (southern Spain) J. Jiménez-Perálvarez et al. 10.1007/s10346-017-0851-6
19. Comparing impact effects of common storms and Medicanes along the coast of south-eastern Sicily G. Scicchitano et al. 10.1016/j.margeo.2021.106556
20. The influence of forest cover on landslide occurrence explored with spatio-temporal information E. Schmaltz et al. 10.1016/j.geomorph.2017.04.024
21. Robustness evaluation of the probability-based HTCA model for simulating debris-flow run-out extent: Case study of the 2010 Hongchun event, China Y. Ma et al. 10.1016/j.enggeo.2022.106918
22. Predictive modeling of river blockage severity from debris flows: Integrating statistical and machine learning approaches with insights from Sichuan Province, China W. Zhou et al. 10.1016/j.catena.2024.108576
23. Geostatistical Modeling to Capture Seismic‐Shaking Patterns From Earthquake‐Induced Landslides L. Lombardo et al. 10.1029/2019JF005056
24. Optimal slope units partitioning in landslide susceptibility mapping C. Martinello et al. 10.1080/17445647.2020.1805807
25. Spatio-temporal pattern distribution of landslides causing damage in Switzerland M. Tonini & M. Cama 10.1007/s10346-019-01236-1
26. Modeling impacts of climate change on return period of landslide triggering D. Peres & A. Cancelliere 10.1016/j.jhydrol.2018.10.036
27. Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster L. Lombardo et al. 10.1007/s00477-018-1518-0
28. Landform classification: a high-performing mapping unit partitioning tool for landslide susceptibility assessment—a test in the Imera River basin (northern Sicily, Italy) C. Martinello et al. 10.1007/s10346-021-01781-8
29. Space-time susceptibility modeling of hydro-morphological processes at the Chinese national scale N. Wang et al. 10.1016/j.enggeo.2022.106586
30. Exploring the effect of absence selection on landslide susceptibility models: A case study in Sicily, Italy C. Conoscenti et al. 10.1016/j.geomorph.2016.03.006
31. Chrono-validation of near-real-time landslide susceptibility models via plug-in statistical simulations L. Lombardo & H. Tanyas 10.1016/j.enggeo.2020.105818
32. Prediction of debris-avalanches and -flows triggered by a tropical storm by using a stochastic approach: An application to the events occurred in Mocoa (Colombia) on 1 April 2017 G. Vargas-Cuervo et al. 10.1016/j.geomorph.2019.04.023
33. Physically-based catchment-scale prediction of slope failure volume and geometry B. Van den Bout et al. 10.1016/j.enggeo.2020.105942
34. Presence-only approach to assess landslide triggering-thickness susceptibility: a test for the Mili catchment (north-eastern Sicily, Italy) L. Lombardo et al. 10.1007/s11069-016-2443-5
35. Reconstruction of a Storm Map and New Approach in the Definition of Categories of the Extreme Rainfall, Northeastern Sicily F. Fiorillo et al. 10.3390/w8080330
36. Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy) M. Cama et al. 10.1007/s12665-015-5047-6
37. Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion O. Rahmati et al. 10.1016/j.geomorph.2017.09.006
38. Exploring the geomorphological adequacy of the landslide susceptibility maps: A test for different types of landslides in the Bidente river basin (northern Italy) C. Martinello et al. 10.1016/j.catena.2024.107835
39. Spatiotemporal clustering of flash floods in a changing climate (China, 1950–2015) N. Wang et al. 10.5194/nhess-21-2109-2021
40. From scenario-based seismic hazard to scenario-based landslide hazard: fast-forwarding to the future via statistical simulations L. Lombardo & H. Tanyas 10.1007/s00477-021-02020-1
41. A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping A. Shirzadi et al. 10.1016/j.engappai.2020.103971
42. Soil moisture information can improve shallow landslide forecasting using the hydrometeorological threshold approach P. Marino et al. 10.1007/s10346-020-01420-8
43. Presenting logistic regression-based landslide susceptibility results L. Lombardo & P. Mai 10.1016/j.enggeo.2018.07.019
44. Landslide susceptibility map refinement using PSInSAR data A. Ciampalini et al. 10.1016/j.rse.2016.07.018
45. Integration of two-phase solid fluid equations in a catchment model for flashfloods, debris flows and shallow slope failures B. Bout et al. 10.1016/j.envsoft.2018.03.017
46. Predicting the landslides triggered by the 2009 96E/Ida tropical storms in the Ilopango caldera area (El Salvador, CA): optimizing MARS-based model building and validation strategies E. Rotigliano et al. 10.1007/s12665-019-8214-3
47. Landslide Susceptibility Based on Extreme Rainfall-Induced Landslide Inventories and the Following Landslide Evolution C. Wu 10.3390/w11122609
48. High-resolution Bayesian mapping of landslide hazard with unobserved trigger event T. Opitz et al. 10.1214/21-AOAS1561