132 citations as recorded by crossref.

1. Rock fall hazard and risk assessment along Araniko Highway, Central Nepal Himalaya A. Regmi et al. https://doi.org/10.1007/s12665-016-5905-x
2. Rainfall thresholds for landslide activity in Portugal: a state of the art J. Zêzere et al. https://doi.org/10.1007/s12665-014-3672-0
3. Potential of two submontane broadleaved species (Acer opalus, Quercus pubescens) to reveal spatiotemporal patterns of rockfall activity A. Favillier et al. https://doi.org/10.1016/j.geomorph.2015.06.010
4. A Heuristic Method to Evaluate the Effect of Soil Tillage on Slope Stability: A Pilot Case in Central Italy E. Volpe et al. https://doi.org/10.3390/land11060912
5. RER2023: the landslide inventory dataset of the May 2023 Emilia-Romagna meteorological event M. Berti et al. https://doi.org/10.5194/essd-17-1055-2025
6. Development of a Landslide Early Warning System in Indonesia R. Hidayat et al. https://doi.org/10.3390/geosciences9100451
7. A critical review on rainfall induced landslide occurrences and early warning systems K. Ghosh & R. Saha https://doi.org/10.1080/17486025.2025.2496302
8. Compositional analysis and phase relations of soil mass from the active landslides of Babai River watershed, Siwalik zone of Nepal B. Bhandari & S. Dhakal https://doi.org/10.1016/j.enggeo.2020.105851
9. Hulu Kelang, Malaysia regional mapping of rainfall-induced landslides using TRIGRS model N. Saadatkhah et al. https://doi.org/10.1007/s12517-014-1410-2
10. Preliminary insights from hydrological field monitoring for the evaluation of landslide triggering conditions over large areas L. Schilirò et al. https://doi.org/10.1007/s11069-023-06064-0
11. Characteristics of Rainfall Events Triggering Landslides in Two Climatologically Different Areas: Southern Ecuador and Southern Spain J. Palenzuela Baena et al. https://doi.org/10.3390/hydrology7030045
12. Event-Based Landslide Modeling in the Styrian Basin, Austria: Accounting for Time-Varying Rainfall and Land Cover R. Knevels et al. https://doi.org/10.3390/geosciences10060217
13. Mapping of shallow landslides with object-based image analysis from unmanned aerial vehicle data R. Comert et al. https://doi.org/10.1016/j.enggeo.2019.105264
14. Rainfall thresholds for the initiation of landslide at Lanta Khola in north Sikkim, India A. Sengupta et al. https://doi.org/10.1007/s11069-009-9352-9
15. Regional Rainfall Warning System for Landslides with Creep Deformation in Three Gorges using a Statistical Black Box Model Z. Guo et al. https://doi.org/10.1038/s41598-019-45403-9
16. Recognition of large scale deep-seated landslides in forest areas of Taiwan using high resolution topography C. Lin et al. https://doi.org/10.1016/j.jseaes.2012.10.022
17. The power–law relationship between landslide occurrence and rainfall level C. Li et al. https://doi.org/10.1016/j.geomorph.2011.03.018
18. Assessing Many Image Processing Products Retrieved from Sentinel-2 Data to Monitor Shallow Landslides in Agricultural Environments R. Cavalli et al. https://doi.org/10.3390/rs16132286
19. Inventory of shallow landslides triggered by extreme precipitation in July 2023 in Beijing, China H. Ma & F. Wang https://doi.org/10.1038/s41597-024-03901-0
20. Analysis of the rainfall pattern triggering the Lemešná debris flow, Javorníky Range, the Czech Republic J. Smolíková et al. https://doi.org/10.1007/s11069-021-04546-7
21. Modeling rockfall frequency and bounce height from three-dimensional simulation process models and growth disturbances in submontane broadleaved trees C. Corona et al. https://doi.org/10.1016/j.geomorph.2016.12.019
22. A comparative assessment of information value, frequency ratio and analytical hierarchy process models for landslide susceptibility mapping of a Himalayan watershed, India S. Sharma & A. Mahajan https://doi.org/10.1007/s10064-018-1259-9
23. A grid-based physical model to analyze the stability of slope unit S. Zhang et al. https://doi.org/10.1016/j.geomorph.2021.107887
24. Assessment of Rainfall-Induced Landslide Susceptibility Using GIS-Based Slope Unit Approach S. Yang https://doi.org/10.1061/(ASCE)CF.1943-5509.0000997
25. Integration of rainfall thresholds and susceptibility maps in the Emilia Romagna (Italy) regional-scale landslide warning system S. Segoni et al. https://doi.org/10.1007/s10346-014-0502-0
26. Rainfall-Induced Landslides and Erosion Processes in the Road Network of the Jaén Province (Southern Spain) R. Carpena et al. https://doi.org/10.3390/hydrology8030100
27. Human-induced coastal landslide reactivation. Monitoring by PSInSAR techniques and urban damage survey (SE Spain) D. Notti et al. https://doi.org/10.1007/s10346-015-0612-3
28. Landslide recognition and mapping in a mixed forest environment from airborne LiDAR data T. Görüm https://doi.org/10.1016/j.enggeo.2019.105155
29. Analysing the Relationship Between Typhoon‐Triggered Landslides and Critical Rainfall Conditions K. Chang et al. https://doi.org/10.1002/esp.1611
30. Settlement Isolation Susceptibility due to Heavy Rain Caused Road Closure S. Yang https://doi.org/10.4028/www.scientific.net/AMR.723.656
31. Landslide inventory maps: New tools for an old problem F. Guzzetti et al. https://doi.org/10.1016/j.earscirev.2012.02.001
32. Representative rainfall thresholds for landslides in the Nepal Himalaya R. Dahal & S. Hasegawa https://doi.org/10.1016/j.geomorph.2008.01.014
33. Influence of Rainfall Pattern on Wetness Index for Infinite Slope Stability Analysis W. Na et al. https://doi.org/10.3390/w15142535
34. Threshold contour production of rainfall intensity that induces landslides in susceptible regions of northern Turkey O. Althuwaynee et al. https://doi.org/10.1007/s10346-018-0968-2
35. Evaluation of machine learning-based algorithms for landslide detection across satellite sensors for the 2019 Cyclone Idai event, Chimanimani District, Zimbabwe R. Das & K. Wegmann https://doi.org/10.1007/s10346-022-01912-9
36. Estimating the dynamics of the groundwater in vegetated slopes based on the monitoring of streams K. Wang et al. https://doi.org/10.1016/j.enggeo.2019.105160
37. Rainfall-induced landslide risk: the state of the art and future needs T. Wang et al. https://doi.org/10.1007/s12665-025-12541-5
38. A new approach to temporal modelling for landslide hazard assessment using an extreme rainfall induced-landslide index N. Nedumpallile Vasu et al. https://doi.org/10.1016/j.enggeo.2016.10.006
39. Seasonal landslide mapping and estimation of landslide mobilization rates using aerial and satellite images F. Fiorucci et al. https://doi.org/10.1016/j.geomorph.2011.01.013
40. Hillslope torrential hazard cascades in tropical mountains M. Arango-Carmona et al. https://doi.org/10.5194/nhess-25-3641-2025
41. Quantifying rainfall controls on catchment‐scale landslide erosion in Taiwan Y. Chen et al. https://doi.org/10.1002/esp.3284
42. Dendrogeomorphic dating of rockfalls on low-latitude, high-elevation slopes: Rodadero, Iztaccíhuatl volcano, Mexico M. Stoffel et al. https://doi.org/10.1002/esp.2146
43. Assessing Erosion-Triggering Rainfall Patterns in Central Italy: Frequency, Trends, and Implications for Soil Protection L. Vergni & F. Todisco https://doi.org/10.3390/w18010044
44. Rainfall thresholds for possible landslide initiation in wildfire-affected areas of western Greece S. Lainas et al. https://doi.org/10.1007/s10064-015-0762-5
45. An alternative rock mass classification system for rock slopes L. Pantelidis https://doi.org/10.1007/s10064-009-0241-y
46. Analysis of rainfall preceding debris flows on the Smědavská hora Mt., Jizerské hory Mts., Czech Republic J. Smolíková et al. https://doi.org/10.1007/s10346-015-0601-6
47. LAND-deFeND – An innovative database structure for landslides and floods and their consequences E. Napolitano et al. https://doi.org/10.1016/j.jenvman.2017.11.022
48. A case study of shallow landslides triggered by rainfall in Sanming, Fujian Province, China B. Yu et al. https://doi.org/10.1007/s12665-023-11118-4
49. Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images A. Mondini et al. https://doi.org/10.1016/j.rse.2011.03.006
50. Rainfall difference between the deposition fan and source area of Touzhai Landslide in Yunnan, China K. Wang et al. https://doi.org/10.1007/s10064-017-1207-0
51. Optimal landslide susceptibility zonation based on multiple forecasts M. Rossi et al. https://doi.org/10.1016/j.geomorph.2009.06.020
52. Rainfall thresholds for the initiation of landslides in central and southern Europe F. Guzzetti et al. https://doi.org/10.1007/s00703-007-0262-7
53. Bayesian framework for mapping and classifying shallow landslides exploiting remote sensing and topographic data A. Mondini et al. https://doi.org/10.1016/j.geomorph.2013.06.015
54. Rock fall hazard along the railway corridor to Jerusalem, Israel, in the Soreq and Refaim valleys O. Katz et al. https://doi.org/10.1007/s11069-010-9580-z
55. Probability of Road Interruption due to Landslides under Different Rainfall-Return Periods Using Remote Sensing Techniques S. Yang https://doi.org/10.1061/(ASCE)CF.1943-5509.0000737
56. A comprehensive framework for empirical modeling of landslides induced by rainfall: the Generalized FLaIR Model (GFM) D. De Luca & P. Versace https://doi.org/10.1007/s10346-016-0768-5
57. Landslide Vulnerability Criteria: A Case Study from Umbria, Central Italy M. Galli & F. Guzzetti https://doi.org/10.1007/s00267-006-0325-4
58. Estimation of rainfall threshold and its use in landslide hazard mapping of Kuala Lumpur metropolitan and surrounding areas O. Althuwaynee et al. https://doi.org/10.1007/s10346-014-0512-y
59. Transmission Characteristics of the Macropore Flow in Vegetated Slope Soils and Its Implication for Slope Stability J. Bao et al. https://doi.org/10.3390/su16187897
60. Long-term hydrological monitoring of soils in the terraced environment of Cinque Terre (north-western Italy) M. Fiorucci et al. https://doi.org/10.3389/feart.2023.1285669
61. Probability Assessment of Rainfall-Induced Landslides Based on Safety Factors Using Soil Moisture Estimation From SAR Images S. Luo et al. https://doi.org/10.1109/TGRS.2020.3025996
62. A General Formulation to Describe Empirical Rainfall Thresholds for Landslides D. Luca & P. Versace https://doi.org/10.1016/j.proeps.2016.10.011
63. Detecting and Monitoring Early Post-Fire Sliding Phenomena Using UAV–SfM Photogrammetry and t-LiDAR-Derived Point Clouds G. Deligiannakis et al. https://doi.org/10.3390/fire4040087
64. Combined roles of saturated permeability and rainfall characteristics on surficial failure of homogeneous soil slope W. Li et al. https://doi.org/10.1016/j.enggeo.2012.11.017
65. Effect of antecedent-hydrological conditions on rainfall triggering of debris flows in ash-fall pyroclastic mantled slopes of Campania (southern Italy) E. Napolitano et al. https://doi.org/10.1007/s10346-015-0647-5
66. A distributed hydrological–geotechnical model using satellite-derived rainfall estimates for shallow landslide prediction system at a catchment scale . Apip et al. https://doi.org/10.1007/s10346-010-0214-z
67. Using multiresolution and multitemporal satellite data for post-disaster landslide inventory in the Republic of Serbia D. Đurić et al. https://doi.org/10.1007/s10346-017-0847-2
68. Regional landslide hazard assessment through integrating susceptibility index and rainfall process Z. Wang et al. https://doi.org/10.1007/s11069-020-04265-5
69. Atmospheric rivers catalyze snowmelt and contribute to chains of landslides H. Aslan et al. https://doi.org/10.1016/j.catena.2025.109503
70. Watch Out for the Tailings Pond, a Sharp Edge Hanging over Our Heads: Lessons Learned and Perceptions from the Brumadinho Tailings Dam Failure Disaster D. Cheng et al. https://doi.org/10.3390/rs13091775
71. Freeze–thaw cycles and rainfall as triggering factors of mass movements in a warm Mediterranean region: the case of the Tramuntana Range (Majorca, Spain) R. Mateos et al. https://doi.org/10.1007/s10346-011-0290-8
72. Integration of effective antecedent rainfall to improve the performance of rainfall thresholds for landslide early warning in Wanzhou District, China X. Liang et al. https://doi.org/10.1016/j.ijdrr.2025.105317
73. Shallow landslides triggered by consecutive rainfall events at Catanzaro strait (Calabria–Southern Italy) L. Borrelli et al. https://doi.org/10.1080/17445647.2014.943814
74. Landslide Susceptibility Zonation of Idukki District Using GIS in the Aftermath of 2018 Kerala Floods and Landslides: a Comparison of AHP and Frequency Ratio Methods A. Thomas et al. https://doi.org/10.1007/s41651-021-00090-x
75. Information value based landslide susceptibility zonation of Dharamshala region, northwestern Himalaya, India S. Sharma & A. Mahajan https://doi.org/10.1007/s41324-019-00259-z
76. Rainfall thresholds for prediction of shallow landslides around Chamoli-Joshimath region, Garhwal Himalayas, India D. Kanungo & S. Sharma https://doi.org/10.1007/s10346-013-0438-9
77. Geomorphology and Landslide Proneness of Kerala, India A Geospatial study S. Ramasamy et al. https://doi.org/10.1007/s10346-020-01562-9
78. Landslide susceptibility assessment of the region affected by the 25 April 2015 Gorkha earthquake of Nepal A. Regmi et al. https://doi.org/10.1007/s11629-015-3688-2
79. An Analytical Model for Assessing Dynamic Stability of Bedding Rock Slope with Soil Interlayer Under Different Rain Patterns H. Yu et al. https://doi.org/10.1007/s00603-023-03595-7
80. Soil Bioengineering Using Vetiver for Climate-Adaptive Slope Repair: Review A. Chakraborty & S. Khan https://doi.org/10.1061/NHREFO.NHENG-2014
81. Topographic profile and morphology analysis of shallow landslides inside and outside of forests with a semi-automatic mapping approach and bi-temporal airborne laser scanning data L. de Vugt et al. https://doi.org/10.5194/nhess-26-1375-2026
82. A hybrid approach for estimating hydro-geomorphological rainfall thresholds to shallow landslides F. Fusco https://doi.org/10.1007/s11629-025-9621-4
83. A Study on the Rainfall and Landslides Along Sarawak Road Using the Antecedent Rainfall Analysis T. J. E. & S. O. S. https://doi.org/10.33736/jcest.80.2011
84. Quantitative assessment on the influence of rainfall on landslides in Jianshi County of Qing River Basin, China N. Wang et al. https://doi.org/10.1007/s12665-015-4899-0
85. An Analysis of Monthly Rainfall and Its Relationship to the Occurrence of Mass Movement and Flooding in Pedra Branca Massif in the City of Rio de Janeiro, Brazil M. RIBEIRO et al. https://doi.org/10.1111/1745-5871.12015
86. Preliminary Forecasting of Rainfall-Induced Shallow Landslides in the Wildfire Burned Areas of Western Greece S. Lainas et al. https://doi.org/10.3390/land10080877
87. Rainfall thresholds for the forecasting of landslide occurrence at regional scale G. Martelloni et al. https://doi.org/10.1007/s10346-011-0308-2
88. Critical antecedent rainfall conditions for shallow landslides in Chittagong City of Bangladesh Y. Khan et al. https://doi.org/10.1007/s12665-011-1483-0
89. Modelling rainfall-induced landslides at a regional scale, a machine learning based approach S. Magrì et al. https://doi.org/10.1007/s10346-023-02173-w
90. Landslide characterization and distribution in northern Ethiopia: a case study from the Adishu area K. Amare et al. https://doi.org/10.1007/s10064-017-1064-x
91. A lightweight rockfall detection method in complex environments based on receptive field and attention mechanism: REGM-YOLO H. Chen et al. https://doi.org/10.1007/s10346-025-02596-7
92. The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution A. Rosi et al. https://doi.org/10.1007/s10346-017-0861-4
93. A revised landslide inventory of the Campania region (Italy) F. Fusco et al. https://doi.org/10.1038/s41597-023-02155-6
94. Spatiotemporal reconstruction of anthropogenically accelerated soil creep: Bâlea glacial valley, Făgăraş Mountains, Romanian Carpathians R. Feher et al. https://doi.org/10.1016/j.catena.2024.108345
95. Rainfall thresholds for the triggering of landslides considering previous soil moisture conditions (Asturias, NW Spain) P. Valenzuela et al. https://doi.org/10.1007/s10346-017-0878-8
96. A hydrology-process based method for correlating debris flow density to rainfall parameters and its application on debris flow prediction K. Long et al. https://doi.org/10.1016/j.jhydrol.2020.125124
97. Influence of Precipitation Variability on Pore Water Pressure and Surface Layer Failures in Naturally Undulating Slopes at Nau Kilo, Narayanghat–Mugling Road, Central Nepal S. Khanal & R. Dahal https://doi.org/10.64862/ajeg.112.05
98. Validation of landslide hazard models using a semantic engine on online news A. Battistini et al. https://doi.org/10.1016/j.apgeog.2017.03.003
99. Optimized algorithm of auxiliary drainage scheme in tailings reservoir rainfall prediction: illustrated with a case study G. Mei et al. https://doi.org/10.3389/feart.2023.1141345
100. Scaling properties of rainfall induced landslides predicted by a physically based model M. Alvioli et al. https://doi.org/10.1016/j.geomorph.2013.12.039
101. Rainfall thresholds for possible landslide occurrence in Italy S. Peruccacci et al. https://doi.org/10.1016/j.geomorph.2017.03.031
102. Hydraulic behavior of unsaturated soils under microbially induced calcium carbonate precipitation–vegetation combined treatment C. Yuan et al. https://doi.org/10.1016/j.jrmge.2025.11.053
103. GIS-based logistic regression for rainfall-induced landslide susceptibility mapping under different grid sizes in Yueqing, Southeastern China Y. Zhao et al. https://doi.org/10.1016/j.enggeo.2019.105147
104. Shallow landslide's stochastic risk modelling based on the precipitation event of August 2005 in Switzerland: results and implications P. Nicolet et al. https://doi.org/10.5194/nhess-13-3169-2013
105. Influence of Seasonal Ground Water Level Fluctuations on the Stability of the Rohingya Refugee Camp Hills of Ukhiya, Teknaf, Cox’s Bazar, Bangladesh—A Threat for Sustainable Development A. Hossain et al. https://doi.org/10.4236/gep.2023.115023
106. Technical Note: An operational landslide early warning system at regional scale based on space–time-variable rainfall thresholds S. Segoni et al. https://doi.org/10.5194/nhess-15-853-2015
107. Advancing landslide early warning in the Indian Himalayas: SIGMA-based rainfall thresholds for Chamoli district K. Gupta et al. https://doi.org/10.1007/s11069-025-07785-0
108. Quantitative landslide risk assessment for Italy F. Caleca et al. https://doi.org/10.1007/s10346-025-02590-z
109. Inventory of landslides triggered by an extreme rainfall event in Marche-Umbria, Italy, on 15 September 2022 M. Santangelo et al. https://doi.org/10.1038/s41597-023-02336-3
110. Do landslides follow landslides? Insights in path dependency from a multi-temporal landslide inventory J. Samia et al. https://doi.org/10.1007/s10346-016-0739-x
111. Regional rainfall thresholds for landslide occurrence using a centenary database T. Vaz et al. https://doi.org/10.5194/nhess-18-1037-2018
112. Seepage and slope stability modelling of rainfall-induced slope failures in topographic hollows K. Acharya et al. https://doi.org/10.1080/19475705.2014.954150
113. Debris flows rainfall thresholds in the Apennines of Emilia-Romagna (Italy) derived by the analysis of recent severe rainstorms events and regional meteorological data G. Ciccarese et al. https://doi.org/10.1016/j.geomorph.2020.107097
114. Slope stability analysis using a physically based model: a case study from A Luoi district in Thua Thien-Hue Province, Vietnam L. Thanh & F. De Smedt https://doi.org/10.1007/s10346-013-0437-x
115. Quantitative comparison between two different methodologies to define rainfall thresholds for landslide forecasting D. Lagomarsino et al. https://doi.org/10.5194/nhess-15-2413-2015
116. The relation between rainfall and landslides in India: An empirical approach for prediction of landslide A. Roul et al. https://doi.org/10.1007/s12040-025-02551-z
117. Evaluation of cumulative rainfall and rainfall event–duration threshold based on triggering and non-triggering rainfalls: Northern Thailand case A. Chinkulkijniwat et al. https://doi.org/10.1515/geo-2022-0747
118. The catastrophic 13 November 2015 rock-debris slide in Lidong, south-western Zhejiang (China): a landslide triggered by a combination of antecedent rainfall and triggering rainfall X. Chen et al. https://doi.org/10.1080/19475705.2018.1455750
119. 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
120. Rapid Mapping of Landslides Induced by Heavy Rainfall in the Emilia-Romagna (Italy) Region in May 2023 M. Ferrario & F. Livio https://doi.org/10.3390/rs16010122
121. Automated reconstruction of rainfall events responsible for shallow landslides G. Vessia et al. https://doi.org/10.5194/nhess-14-2399-2014
122. Geological risk assessment for the rapid development area of the Erhai Basin L. Yang et al. https://doi.org/10.1016/j.pce.2015.10.012
123. Preparing first-time slope failures hazard maps: from pixel-based to slope unit-based G. Domènech et al. https://doi.org/10.1007/s10346-019-01279-4
124. Assessing Landslide Drivers in Social–Ecological–Technological Systems: The Case of Metropolitan Region of São Paulo, Brazil M. Hirye et al. https://doi.org/10.3390/rs15123048
125. Estimation of the antecedent rainfall period for mass movements in Taiwan C. Chen et al. https://doi.org/10.1007/s12665-018-7377-7
126. Study on the Aperture Evolution Law and Seepage Mechanism of 3D Rough Structure Plane under the Shear–Seepage Coupling Test F. Jiao et al. https://doi.org/10.3390/en16052133
127. Application of hydrological model simulations in landslide predictions B. Zhao et al. https://doi.org/10.1007/s10346-019-01296-3
128. Initial insights from a global database of rainfall-induced landslide inventories: the weak influence of slope and strong influence of total storm rainfall O. Marc et al. https://doi.org/10.5194/esurf-6-903-2018
129. A prototype system for space–time assessment of rainfall-induced shallow landslides in Italy L. Montrasio et al. https://doi.org/10.1007/s11069-014-1239-8
130. Analysing the relationship between rainfalls and landslides to define a mosaic of triggering thresholds for regional-scale warning systems S. Segoni et al. https://doi.org/10.5194/nhess-14-2637-2014
131. Tree-ring based reconstruction of rockfalls at Cofre de Perote volcano, Mexico O. Franco-Ramos et al. https://doi.org/10.1016/j.geomorph.2017.04.003
132. A physics-based probabilistic forecasting model for rainfall-induced shallow landslides at regional scale S. Zhang et al. https://doi.org/10.5194/nhess-18-969-2018