67 citations as recorded by crossref.

1. HazMapper: a global open-source natural hazard mapping application in Google Earth Engine C. Scheip & K. Wegmann 10.5194/nhess-21-1495-2021
2. Historical and future trends in population exposed to landslides in Japan Y. Shinohara 10.1007/s11069-025-07512-9
3. Historical dynamics of landslide risk from population and forest-cover changes in the Kivu Rift A. Depicker et al. 10.1038/s41893-021-00757-9
4. Brief communication: Weak correlation between building damage and loss of life from landslides M. Van Wyk de Vries et al. 10.5194/nhess-25-1937-2025
5. Landslide Susceptibility Level Mapping in Kozhikode, Kerala, Using Machine Learning-Based Random Forest, Remote Sensing, and GIS Techniques P. Badapalli et al. 10.3390/land14071453
6. Geospatial Data and Deep Learning Expose ESG Risks to Critical Raw Materials Supply: The Case of Lithium C. Lawley et al. 10.3389/esss.2024.10109
7. Mitigation measures of debris flow and landslide risk carried out in two mountain areas of North-Eastern Italy R. Genevois et al. 10.1007/s11629-021-7212-6
8. Assessing Global Landslide Casualty Risk Under Moderate Climate Change Based on Multiple GCM Projections X. Wang et al. 10.1007/s13753-023-00514-w
9. Convolutional neural networks prediction of the factor of safety of random layered slopes by the strength reduction method E. Soranzo et al. 10.1007/s11440-022-01783-3
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11. Integrating natural disasters into protected area designing for global primate conservation under climate change L. Yang et al. 10.1016/j.geosus.2024.09.006
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13. Investigation of Model Uncertainty in Rainfall-Induced Landslide Prediction under Changing Climate Conditions Y. Chen et al. 10.3390/land12091732
14. Mobilization rates of landslides in a changing tropical environment: 60-year record over a large region of the East African Rift A. Depicker et al. 10.1016/j.geomorph.2024.109156
15. Risk assessment of landslide casualty under incomplete information——Tienshan and Kunlun Mountainous regions of Central Asia X. Chen et al. 10.1016/j.ijdrr.2024.105057
16. Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine A. Handwerger et al. 10.5194/nhess-22-753-2022
17. A semi-quantitative multi-hazard risk assessment framework for European coastal urban areas R. Figueiredo et al. 10.1080/19475705.2024.2378994
18. Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change Q. Lin et al. 10.1029/2023EF003741
19. Evaluation of potential changes in landslide susceptibility and landslide occurrence frequency in China under climate change Q. Lin et al. 10.1016/j.scitotenv.2022.158049
20. Predicting slope stability potential failure surface using machine learning algorithms M. Won et al. 10.1007/s12517-024-12146-5
21. Event-based rainfall-induced landslide inventories and rainfall thresholds for Malawi P. Niyokwiringirwa et al. 10.1007/s10346-023-02203-7
22. Predicting the thickness of shallow landslides in Switzerland using machine learning C. Schaller et al. 10.5194/nhess-25-467-2025
23. Exploring hydrological dynamics of layered pyroclastic soils by combining laboratory and field experiments with a numerical model R. Busti et al. 10.1002/hyp.15257
24. Mass Movement Hazard and Exposure in the Himalaya S. Dubey et al. 10.1029/2022EF003253
25. Short to long term space-time prediction of rain-induced landslides under uncertainty A. Mondini et al. 10.1016/j.scitotenv.2025.179453
26. Phenomenology of Avalanche Recordings From Distributed Acoustic Sensing P. Paitz et al. 10.1029/2022JF007011
27. Spatial patterns of landslides in a modest topography of the Ozark and Ouachita Mountains, USA N. Regmi et al. 10.1016/j.catena.2024.108344
28. A semi-supervised multi-temporal landslide and flash flood event detection methodology for unexplored regions using massive satellite image time series A. Deijns et al. 10.1016/j.isprsjprs.2024.07.010
29. Evaluating the uncertainty in landslide susceptibility prediction: effect of spatial data variability and evaluation unit choices S. Qin et al. 10.1007/s10064-025-04180-8
30. Time-Lapse Electrical Resistivity Tomography (TL-ERT) for Landslide Monitoring: Recent Advances and Future Directions V. Lapenna & A. Perrone 10.3390/app12031425
31. Timing landslide and flash flood events from SAR satellite: a regionally applicable methodology illustrated in African cloud-covered tropical environments A. Deijns et al. 10.5194/nhess-22-3679-2022
32. Automated Snow Avalanche Monitoring and Alert System Using Distributed Acoustic Sensing in Norway A. Turquet et al. 10.3390/geohazards5040063
33. Cascading land surface hazards as a nexus in the Earth system B. Yanites et al. 10.1126/science.adp9559
34. Long-term landslide impacts and adaptive responses in rural communities: Using historical cases to validate the cumulative causation approach P. Raška et al. 10.1016/j.ijdrr.2023.103748
35. Changes in the factors contributing to the reduction of landslide fatalities between 1945 and 2019 in Japan Y. Shinohara & T. Kume 10.1016/j.scitotenv.2022.154392
36. Global Landslide Forecasting System for Hazard Assessment and Situational Awareness S. Khan et al. 10.3389/feart.2022.878996
37. A Reinforcement Learning approach to the location of the non-circular critical slip surface of slopes E. Soranzo et al. 10.1016/j.cageo.2022.105182
38. A GIS-Based Approach for Shallow Landslides Risk Assessment in the Giampilieri and Briga Catchments Areas (Sicily, Italy) G. Vegliante et al. 10.3390/geohazards5010011
39. Community adaptive capacity in facing landslide disaster P. Wijayanti et al. 10.1088/1755-1315/1314/1/012107
40. Spatiotemporal patterns of non-seismic fatal landslides in China from 2010 to 2022 Z. Li et al. 10.1007/s10346-024-02362-1
41. Data-Driven Landslide Nowcasting at the Global Scale T. Stanley et al. 10.3389/feart.2021.640043
42. Applying GIS to monitor the Schools’ exposure to landslide hazards in disaster-prone areas of Mount Elgon in Uganda F. Akello et al. 10.1080/19376812.2025.2480390
43. Characteristics and Distribution of Landslides in the Populated Hillslopes of Bujumbura, Burundi D. Kubwimana et al. 10.3390/geosciences11060259
44. From theoretical to sustainable potential for run-of-river hydropower development in the upper Indus basin S. Dhaubanjar et al. 10.1016/j.apenergy.2023.122372
45. Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories R. Emberson et al. 10.5194/nhess-22-1129-2022
46. A near-real-time global landslide incident reporting tool demonstrator using social media and artificial intelligence C. Pennington et al. 10.1016/j.ijdrr.2022.103089
47. Framework for rainfall-triggered landslide-prone critical infrastructure zonation K. Gnyawali et al. 10.1016/j.scitotenv.2023.162242
48. The relations between settlement and selected environmental features with regard to landslide hazard in the Polish Carpathians P. Śleszyński et al. 10.1016/j.catena.2025.108897
49. Potential for small and micro modular reactors to electrify developing regions G. L’Her et al. 10.1038/s41560-024-01512-y
50. Variations in road exposure and traffic volumes in the United States in areas susceptible to landslides N. Wood & J. Jones 10.1016/j.ijdrr.2025.105567
51. Keynote lecture. Landslide Early Warning Systems: Resources or Problems? F. Guzzetti et al. 10.1051/e3sconf/202341503010
52. A Framework for Calculating Peak Discharge and Flood Inundation in Ungauged Urban Watersheds Using Remotely Sensed Precipitation Data: A Case Study in Freetown, Sierra Leone A. Cotugno et al. 10.3390/rs13193806
53. Detection of slow‐moving landslides through automated monitoring of surface deformation using Sentinel‐2 satellite imagery M. Van Wyk de Vries et al. 10.1002/esp.5775
54. Regional-scale landslide risk assessment in Central Asia F. Caleca et al. 10.5194/nhess-24-13-2024
55. Shallow mass movement susceptibility mapping through remote sensing using AHP, WLC, and soil moisture index analysis H. Shabbir et al. 10.1016/j.asr.2025.07.002
56. A near-real-time model for estimating probability of road obstruction due to earthquake-triggered landslides B. Wilson et al. 10.1177/87552930211020022
57. Indicating landslide hazard from tree rings – Ecosystem service provided by an alder forest in the hengduan Mts, Sichuan, China M. Wistuba et al. 10.1016/j.ecoser.2024.101619
58. Trees as bioindicators of hillslope degradation by debris flows and dangerous rockfalls along the Lefthand Canyon, Colorado Front Range Ł. Pawlik et al. 10.1002/ldr.4575
59. Differences in factors determining landslide hazards among three types of landslides in Japan Y. Shinohara & Y. Watanabe 10.1007/s11069-023-06075-x
60. Spatial assessments of landslide hazard vulnerability using decision support system in the Sile-Sago Watershed, Lake Chamo Rift Valley Basin, Ethiopia A. Ayele et al. 10.1016/j.envc.2024.101057
61. High-resolution geophysical monitoring of moisture accumulation preceding slope movement—a path to improved early warning A. Watlet et al. 10.1088/1748-9326/ad8fbe
62. Analysis of human exposure to landslides with a GIS multiscale approach S. Modugno et al. 10.1007/s11069-021-05186-7
63. Characteristics and causes of natural and human-induced landslides in a tropical mountainous region: the rift flank west of Lake Kivu (Democratic Republic of the Congo) J. Maki Mateso et al. 10.5194/nhess-23-643-2023
64. Enhancing disaster risk resilience using greenspace in urbanising Quito, Ecuador C. Watson et al. 10.5194/nhess-22-1699-2022
65. From spatio-temporal landslide susceptibility to landslide risk forecast T. Wang et al. 10.1016/j.gsf.2023.101765
66. Constraining landslide timing in a data-scarce context: from recent to very old processes in the tropical environment of the North Tanganyika-Kivu Rift region O. Dewitte et al. 10.1007/s10346-020-01452-0
67. Landslide vulnerability mapping using multi-criteria decision-making approaches: in Gacho Babba District, Gamo Highlands Southern Ethiopia L. Tadesse et al. 10.1007/s42452-024-05693-9