78 citations as recorded by crossref.

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37. Spatial modelling of gully erosion in the Ardib River Watershed using three statistical-based techniques A. Arabameri et al. 10.1016/j.catena.2020.104545
38. Evaluation of Remote-Sensing-Based Landslide Inventories for Hazard Assessment in Southern Kyrgyzstan D. Golovko et al. 10.3390/rs9090943
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48. Uncertainties in landslide susceptibility prediction modeling: A review on the incompleteness of landslide inventory and its influence rules F. Huang et al. 10.1016/j.gsf.2024.101886
49. Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability M. Di Napoli et al. 10.1007/s10346-020-01392-9
50. Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling – Benefits of exploring landslide data collection effects S. Steger et al. 10.1016/j.scitotenv.2021.145935
51. Investigation of automatic feature weighting methods (Fisher, Chi-square and Relief-F) for landslide susceptibility mapping E. Kutlug Sahin et al. 10.1080/10106049.2016.1170892
52. Land Suitability Assessment for Pistachio Cultivation Using GIS and Multi-Criteria Decision-Making: A Case Study of Mardin, Turkey Ç. Mercan & V. Acibuca 10.1007/s10661-023-11899-y
53. GIS-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India N. Saikh & P. Mondal 10.1016/j.nhres.2023.05.004
54. Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al. 10.1016/j.gsf.2024.101822
55. The typology of slope slides of the cliff coast of Safi-Morocco, and the role of the clay layer in triggering failure M. Ayt Ougougdal et al. 10.1016/j.jafrearsci.2020.103878
56. Debris flow susceptibility mapping using frequency ratio and seed cells, in a portion of a mountain international route, Dry Central Andes of Argentina M. Esper Angillieri 10.1016/j.catena.2020.104504
57. Different Approaches to Use Morphometric Attributes in Landslide Susceptibility Mapping Based on Meso-Scale Spatial Units: A Case Study in Rio de Janeiro (Brazil) V. Canavesi et al. 10.3390/rs12111826
58. Effect of Soil Geomechanical Properties and Geo-Environmental Factors on Landslide Predisposition at Mount Oku, Cameroon W. Djukem et al. 10.3390/ijerph17186795
59. Modelling the occurrence of gullies at two spatial scales in the Olteţ Drainage Basin (Romania) M. Jurchescu & F. Grecu 10.1007/s11069-015-1981-6
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63. Sedimentological characteristics and application of machine learning techniques for landslide susceptibility modelling along the highway corridor Nahan to Rajgarh (Himachal Pradesh), India V. Pandey et al. 10.1016/j.catena.2019.104150
64. Effects of different land use and land cover data on the landslide susceptibility zonation of road networks B. Meneses et al. 10.5194/nhess-19-471-2019
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71. Shallow landslide susceptibility assessment in granitic rocks using GIS-based statistical methods: the contribution of the weathering grade map L. Borrelli et al. 10.1007/s10346-018-0947-7
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