Statistical Landslide Modeling
Statistical Landslide Modeling is a computational framework that employs statistical methods to quantify the spatial probability of landslide occurrence by analyzing the relationships between known landslide locations and environmental conditioning factors.
313
Publications
26.2K
Citations
1.1K
Authors
475
Institutions
Publications per year
2017–2026
179
Parents
313
Landslide inventories and their statistical properties
Bruce D. Malamud, Donald L. Turcotte, Fausto Guzzetti et al. · Earth Surface Processes and Landforms · 2004 · 1.3K citations · Full text
Amar Deep Regmi, Krishna Chandra Devkota, Kohki Yoshida et al. · Arabian Journal of Geosciences · 2013 · 518 citations
1–5 of 313
1.1K
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Research Institute for Geo-Hydrological Protection, Italy
8 publications · 2.9K citations
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8
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7
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475
Research Institute for Geo-Hydrological Protection
Perugia, Italy
14 h-index
46 publications
8.3K citations
China University of Geosciences
Wuhan, China
14 h-index
49 publications
3.2K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
26 publications
1.2K citations
University of Vienna
Vienna, Austria
11 h-index
25 publications
3.9K citations

University of Twente
Enschede, The Netherlands
9 h-index
17 publications
1K citations
National Research Council
Rome, Italy
9 h-index
18 publications
1K citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
8 h-index
17 publications
2.7K citations
Xi'an University of Science and Technology
Xi'an, China
8 h-index
24 publications
3.4K citations
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26 publications · 2.3K citations
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21 publications · 1.8K citations
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16 publications · 1.6K citations
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20 publications · 1.5K citations
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16 publications · 1.6K citations
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