101 citations as recorded by crossref.

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19. Spatio-Statistical Analysis of Flood Susceptibility Assessment Using Bivariate Model in the Floodplain of River Swat, District Charsadda, Pakistan M. Moazzam et al. https://doi.org/10.4236/gep.2020.85010
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22. Assessment of physical vulnerability of buildings and analysis of landslide risk at the municipal scale: application to the Loures municipality, Portugal C. Guillard-Gonçalves et al. https://doi.org/10.5194/nhess-16-311-2016
23. A comparative analysis of statistical landslide susceptibility mapping in the southeast region of Minas Gerais state, Brazil C. Barella et al. https://doi.org/10.1007/s10064-018-1341-3
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28. GIS-based landslide susceptibility zonation using bivariate statistical and expert approaches in the city of Constantine (Northeast Algeria) H. Bourenane et al. https://doi.org/10.1007/s10064-014-0616-6
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39. Susceptibility modelling of hummocky terrain distribution using the information value method (Deception Island, Antarctic Peninsula) R. Melo et al. https://doi.org/10.1016/j.geomorph.2011.12.027
40. Distribution and temporal-spatial characteristics of geohazards in a rainstorm-prone area of SE China considering the land use Z. Guo et al. https://doi.org/10.1016/j.bgtech.2025.100184
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42. Normalized Landslide Index Method for susceptibility map development in El Salvador A. Posner & K. Georgakakos https://doi.org/10.1007/s11069-015-1930-4
43. GIS-based landslide susceptibility zonation and comparative analysis using analytical hierarchy process and conventional weighting-based multivariate statistical methods in the Lachung River Basin, North Sikkim S. Wadadar & B. Mukhopadhyay https://doi.org/10.1007/s11069-022-05344-5
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45. Landslide susceptibility mapping using modified information value model in the Lish river basin of Darjiling Himalaya B. Mandal & S. Mandal https://doi.org/10.1007/s41324-017-0096-4
46. Landslide hazard mapping along national highway-154A in Himachal Pradesh, India using information value and frequency ratio K. Singh & V. Kumar https://doi.org/10.1007/s12517-017-3315-3
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48. Landslide Susceptibility Mapping Using Bivariate Statistical Models and GIS in Chattagram District, Bangladesh M. Chowdhury & B. Hafsa https://doi.org/10.1007/s10706-022-02111-y
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50. Combining Social Vulnerability and Physical Vulnerability to Analyse Landslide Risk at the Municipal Scale C. Guillard-Gonçalves & J. Zêzere https://doi.org/10.3390/geosciences8080294
51. The Role of Soil Type in Triggering Shallow Landslides in the Alps (Lombardy, Northern Italy) F. Luino et al. https://doi.org/10.3390/land11081125
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53. Three-Dimensional Mineralization Prediction Using the Information Value Method: A Case Study of the Bainiuchang Ag Polymetallic Deposit, Southwest China F. Jia et al. https://doi.org/10.3390/min15080783
54. Using InfoVal method and GIS techniques for the spatial modelling of landslide susceptibility in the upper catchment of river Meenachil in Kerala H. Vijith et al. https://doi.org/10.1007/s12524-009-0028-4
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63. Implementation of reconstructed geomorphologic units in landslide susceptibility mapping: the Melen Gorge (NW Turkey) T. Gorum et al. https://doi.org/10.1007/s11069-007-9190-6
64. Sea cliff instability susceptibility at regional scale: a statistically based assessment in the southern Algarve, Portugal F. Marques et al. https://doi.org/10.5194/nhess-13-3185-2013
65. 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
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