66 citations as recorded by crossref.

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9. An Event-Based Inventory Approach in Landslide Hazard Assessment: The Case of the Skolis Mountain, Northwest Peloponnese, Greece A. Litoseliti et al. https://doi.org/10.3390/ijgi9070457
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19. Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE N. Diodato et al. https://doi.org/10.3389/feart.2021.637973
20. A WebGIS for the dissemination of information on historical landslides and floods in Umbria, Italy P. Salvati et al. https://doi.org/10.1007/s10707-008-0072-1
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24. Enriching Great Britain's National Landslide Database by searching newspaper archives F. Taylor et al. https://doi.org/10.1016/j.geomorph.2015.05.019
25. Landslide Vulnerability Criteria: A Case Study from Umbria, Central Italy M. Galli & F. Guzzetti https://doi.org/10.1007/s00267-006-0325-4
26. Assessment of rainfall thresholds and soil moisture modeling for operational hydrogeological risk prevention in the Umbria region (central Italy) F. Ponziani et al. https://doi.org/10.1007/s10346-011-0287-3
27. Landslide inventories and their statistical properties B. Malamud et al. https://doi.org/10.1002/esp.1064
28. Improving Landslide Forecasting Using ASCAT-Derived Soil Moisture Data: A Case Study of the Torgiovannetto Landslide in Central Italy L. Brocca et al. https://doi.org/10.3390/rs4051232
29. Short to long term space-time prediction of rain-induced landslides under uncertainty A. Mondini et al. https://doi.org/10.1016/j.scitotenv.2025.179453
30. A millennium-long climate history of erosive storms across the Tiber River Basin, Italy, from 725 to 2019 CE N. Diodato et al. https://doi.org/10.1038/s41598-021-99720-z
31. Numerical modelling of slope–vegetation–atmosphere interaction: an overview G. Elia et al. https://doi.org/10.1144/qjegh2016-079
32. A Novel Estimation of the Composite Hazard of Landslides and Flash Floods Utilizing an Artificial Intelligence Approach M. Wahba et al. https://doi.org/10.3390/w15234138
33. Landslide cost modeling for transportation infrastructures: a methodological approach M. Klose et al. https://doi.org/10.1007/s10346-014-0481-1
34. Automated digital data acquisition for landslide inventories T. Kreuzer & B. Damm https://doi.org/10.1007/s10346-020-01431-5
35. Economic landslide susceptibility under a socio-economic perspective: an application to Umbria Region (Central Italy) M. Donnini et al. https://doi.org/10.1007/s10037-020-00143-6
36. A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series A. Urgilez Vinueza et al. https://doi.org/10.1007/s10346-022-01913-8
37. Geo‐hydro‐mechanics for quantitative landslide hazard assessment (QHA) F. COTECCHIA et al. https://doi.org/10.1002/cepa.662
38. Integrating geomorphology, statistic and numerical simulations for landslide invasion hazard scenarios mapping: An example in the Sorrento Peninsula (Italy) F. Lucà et al. https://doi.org/10.1016/j.cageo.2014.01.006
39. National and regional-scale landslide indicators and indexes: Applications in Italy M. Donnini et al. https://doi.org/10.1515/geo-2022-0375
40. Atmospheric rivers catalyze snowmelt and contribute to chains of landslides H. Aslan et al. https://doi.org/10.1016/j.catena.2025.109503
41. Archaeological evidence for Holocene landslide activity in the Eastern Carpathian lowland M. Niculiţă et al. https://doi.org/10.1016/j.quaint.2015.12.048
42. Characteristics of landslides and assessment of deep-seated landslide susceptibility in Northern Turkey T. Duman & T. Çan https://doi.org/10.1007/s42990-023-00105-3
43. Geomechanics of a snowmelt-induced slope failure in glacial till A. Trandafir et al. https://doi.org/10.1007/s12665-014-3658-y
44. The Felbertauern landslide of 2013 in Austria: Impact on transport networks, regional economy and policy decisions C. Pfurtscheller & E. Genovese https://doi.org/10.1016/j.cstp.2019.05.003
45. An alternative rock mass classification system for rock slopes L. Pantelidis https://doi.org/10.1007/s10064-009-0241-y
46. Satellite stereoscopic pair images of very high resolution: a step forward for the development of landslide inventories F. Murillo-García et al. https://doi.org/10.1007/s10346-014-0473-1
47. Regional assessment of landslide impact in the Three Gorges area, China, using ASTER data: Wushan-Zigui I. Fourniadis et al. https://doi.org/10.1007/s10346-007-0080-5
48. National-scale assessment of railways exposure to rapid flow-like landslides I. Marchesini et al. https://doi.org/10.1016/j.enggeo.2024.107474
49. SUGARFuseNet: Diffusion‑Driven Domain Adaptation and Bimodal Bitemporal Fusion for Advancing Global Landslide Segmentation on novel GBMT‑SLID dataset. F. Ghislain Emani et al. https://doi.org/10.1016/j.neucom.2026.134060
50. History of landslide susceptibility and a chorology of landslide-prone areas in the Western Ghats of Kerala, India S. Kuriakose et al. https://doi.org/10.1007/s00254-008-1431-9
51. InSAR-Based Active Landslide Detection and Characterization Along the Upper Reaches of the Yellow River J. Du et al. https://doi.org/10.1109/JSTARS.2023.3263003
52. Landslides triggered by an extraordinary rainfall event in Central Italy on September 15, 2022 M. Donnini et al. https://doi.org/10.1007/s10346-023-02109-4
53. Long-term analysis of rainfall-induced landslides in Umbria, central Italy S. Gariano et al. https://doi.org/10.1007/s11069-021-04539-6
54. Assessing damage data availability in national landslide databases for SFDRR reporting: a case study of Kuala Lumpur as a local-level application T. Bhuiyan et al. https://doi.org/10.1007/s10346-023-02085-9
55. Rainfall Thresholds for Prediction of Landslides in Idukki, India: An Empirical Approach M. Abraham et al. https://doi.org/10.3390/w11102113
56. An examination of controls on debris flow mobility: Evidence from coastal British Columbia R. Guthrie et al. https://doi.org/10.1016/j.geomorph.2009.09.021
57. Anthropic Valorisation of Vulnerable Areas Affected by Deep-Seated Landslides P. Cocean et al. https://doi.org/10.1007/s12371-019-00397-8
58. Landslide Recognition by Deep Convolutional Neural Network and Change Detection W. Shi et al. https://doi.org/10.1109/TGRS.2020.3015826
59. Probabilistic landslide hazard assessment at the basin scale F. Guzzetti et al. https://doi.org/10.1016/j.geomorph.2005.06.002
60. The effects of snowmelt on loess landslides in Tian Shan, China Y. Xian et al. https://doi.org/10.1016/j.ejrh.2025.102995
61. Newspaper reporting of the April 2007 eruption of Piton de la Fournaise part 1: useful information or tabloid sensationalism? A. Harris & N. Villeneuve https://doi.org/10.1186/s13617-018-0073-1
62. Análisis de flujos de escombros desde un enfoque dendrocronológico en Ixtacamaxtitlán, Sierra Norte de Puebla, México M. Pablo-Pablo et al. https://doi.org/10.22201/cgeo.20072902e.2020.2.1556
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64. Tree-ring reconstruction of reactivation phases of the Schimbrig landslide (Swiss Alps) J. Lopez-Saez et al. https://doi.org/10.4000/geomorphologie.11825
65. A general landslide distribution applied to a small inventory in Todi, Italy D. Turcotte et al. https://doi.org/10.1144/GSL.SP.2006.261.01.08
66. Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study R. Schlögel et al. https://doi.org/10.5194/nhess-15-2369-2015