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

Authors

1.1K

  1. BP
    Biswajeet Pradhan

    University of Technology Sydney, Australia

    11 publications · 2.1K citations

    11

    h-index

  2. AB
    Alexander Brenning

    Friedrich Schiller University Jena, Germany

    9 publications · 1.7K citations

    9

    h-index

  3. FG
    Fausto Guzzetti

    Research Institute for Geo-Hydrological Protection, Italy

    8 publications · 2.9K citations

    8

    h-index

  4. HS
    Himan Shahabi

    University of Kurdistan, Iran

    8 publications · 1.5K citations

    8

    h-index

  5. LL
    Luigi Lombardo

    University of Twente, Netherlands

    7 publications · 332 citations

    7

    h-index

1–5 of 1.1K

Venues

  1. Natural Hazards

    26 publications · 2.3K citations

    23

    h-index

  2. Landslides

    21 publications · 1.8K citations

    19

    h-index

  3. Arabian Journal of Geosciences

    16 publications · 1.6K citations

    16

    h-index

  4. Environmental Earth Sciences

    20 publications · 1.5K citations

    16

    h-index

  5. Engineering Geology

    16 publications · 1.6K citations

    16

    h-index

1–5