68 citations as recorded by crossref.

1. Predisposition to Mass Movements on Railway Slopes: Insights from Field Data on Geotechnical and Pluviometric Influences P. Campos et al. https://doi.org/10.3390/infrastructures9100168
2. The Geomorphic Effectiveness of Landslides E. Dente et al. https://doi.org/10.1029/2023JF007191
3. Enhanced Hazard Mapping for Flood and Landslide Risks Using Memetic Programming and Machine Learning Techniques to Support Sustainable Development Goals M. Wahba et al. https://doi.org/10.1109/ACCESS.2025.3623933
4. Reactivation of old landslides: lessons learned from a case‐study in the Flemish Ardennes (Belgium) M. Van Den Eeckhaut et al. https://doi.org/10.1111/j.1475-2743.2006.00079.x
5. Landslide size matters: A new data-driven, spatial prototype L. Lombardo et al. https://doi.org/10.1016/j.enggeo.2021.106288
6. Mechanics and modelling approaches of rockfall: a comprehensive review for hazard mitigation in hill roads S. Maheshwari et al. https://doi.org/10.1007/s12517-025-12189-2
7. Landslides, earthquakes, and erosion B. Malamud et al. https://doi.org/10.1016/j.epsl.2004.10.018
8. Work, persistence, and formative events: The geomorphic impact of landslides R. Guthrie & S. Evans https://doi.org/10.1016/j.geomorph.2006.11.010
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
10. Temporal patterns of nonseismically triggered landslides in Shaanxi Province, China H. Qiu et al. https://doi.org/10.1016/j.catena.2019.104356
11. The landslide database for Germany: Closing the gap at national level B. Damm & M. Klose https://doi.org/10.1016/j.geomorph.2015.03.021
12. Rockfall susceptibility analysis of the “San Michele Arcangelo” historic trail (Central Italy) based on virtual outcrops and multiple propagation models L. Guerriero et al. https://doi.org/10.1007/s10064-024-03764-0
13. Assessment of data availability for the development of landslide fatality curves T. Grahn & H. Jaldell https://doi.org/10.1007/s10346-016-0775-6
14. Engineering geology maps: landslides and geographical information systems J. Chacón et al. https://doi.org/10.1007/s10064-006-0064-z
15. Exploring the magnitude–frequency distribution: a cellular automata model for landslides R. Guthrie et al. https://doi.org/10.1007/s10346-007-0104-1
16. Mechanisms for the Formation of an Exceptionally Gently Inclined Basal Shear Zone of a Landslide in Glacial Sediments—The Ludoialm Case Study X. Dai et al. https://doi.org/10.3390/app13116837
17. Temporal correlations and clustering of landslides A. Witt et al. https://doi.org/10.1002/esp.1998
18. Snow accumulation/melting model (SAMM) for integrated use in regional scale landslide early warning systems G. Martelloni et al. https://doi.org/10.5194/hess-17-1229-2013
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
21. Comparing landslide inventory maps M. Galli et al. https://doi.org/10.1016/j.geomorph.2006.09.023
22. Estimating the quality of landslide susceptibility models F. Guzzetti et al. https://doi.org/10.1016/j.geomorph.2006.04.007
23. A refinement analysis of the shallow landslides susceptibility at regional scale supported by GIS-aided geo-database G. Gullà et al. https://doi.org/10.1080/19475705.2021.1967204
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. Probabilistic PGV–slope detachment thresholds for coseismic rock-slope instabilities in Central Italy V. Piattelli & G. Vessia https://doi.org/10.1016/j.enggeo.2026.109087
30. 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
31. 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
32. Numerical modelling of slope–vegetation–atmosphere interaction: an overview G. Elia et al. https://doi.org/10.1144/qjegh2016-079
33. 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
34. Landslide cost modeling for transportation infrastructures: a methodological approach M. Klose et al. https://doi.org/10.1007/s10346-014-0481-1
35. Automated digital data acquisition for landslide inventories T. Kreuzer & B. Damm https://doi.org/10.1007/s10346-020-01431-5
36. 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
37. 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
38. Geo‐hydro‐mechanics for quantitative landslide hazard assessment (QHA) F. COTECCHIA et al. https://doi.org/10.1002/cepa.662
39. 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
40. National and regional-scale landslide indicators and indexes: Applications in Italy M. Donnini et al. https://doi.org/10.1515/geo-2022-0375
41. Atmospheric rivers catalyze snowmelt and contribute to chains of landslides H. Aslan et al. https://doi.org/10.1016/j.catena.2025.109503
42. 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
43. 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
44. Geomechanics of a snowmelt-induced slope failure in glacial till A. Trandafir et al. https://doi.org/10.1007/s12665-014-3658-y
45. 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
46. An alternative rock mass classification system for rock slopes L. Pantelidis https://doi.org/10.1007/s10064-009-0241-y
47. 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
48. 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
49. National-scale assessment of railways exposure to rapid flow-like landslides I. Marchesini et al. https://doi.org/10.1016/j.enggeo.2024.107474
50. SUGARFuseNet: Diffusion‑driven domain adaptation and bimodal bitemporal fusion for advancing global landslide segmentation on novel GBMT‑SLID dataset G. Emani et al. https://doi.org/10.1016/j.neucom.2026.134060
51. 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
52. 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
53. 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
54. Long-term analysis of rainfall-induced landslides in Umbria, central Italy S. Gariano et al. https://doi.org/10.1007/s11069-021-04539-6
55. 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
56. Rainfall Thresholds for Prediction of Landslides in Idukki, India: An Empirical Approach M. Abraham et al. https://doi.org/10.3390/w11102113
57. 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
58. Anthropic Valorisation of Vulnerable Areas Affected by Deep-Seated Landslides P. Cocean et al. https://doi.org/10.1007/s12371-019-00397-8
59. Capturing rainfall persistence in assessing rainfall induced landslide susceptibility using extreme value analysis S. Aditya & B. Dodamani https://doi.org/10.1016/j.pdisas.2026.100676
60. Landslide Recognition by Deep Convolutional Neural Network and Change Detection W. Shi et al. https://doi.org/10.1109/TGRS.2020.3015826
61. Probabilistic landslide hazard assessment at the basin scale F. Guzzetti et al. https://doi.org/10.1016/j.geomorph.2005.06.002
62. The effects of snowmelt on loess landslides in Tian Shan, China Y. Xian et al. https://doi.org/10.1016/j.ejrh.2025.102995
63. 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
64. 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
65. Türkiye’de ölümcül heyelanların dağılım karakteristikleri ve ulusal ölçekte öncelikli alanların belirlenmesi S. FİDAN & T. GÖRÜM https://doi.org/10.17211/tcd.731596
66. Tree-ring reconstruction of reactivation phases of the Schimbrig landslide (Swiss Alps) J. Lopez-Saez et al. https://doi.org/10.4000/geomorphologie.11825
67. 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
68. 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