University of Salzburg

本机构学者在这里署名、按本站篇数

合作机构同一篇文章里的其他机构

1. Tarbiat Modares University伊朗6
2. Harvard University美国5
3. Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)德国5
4. Ludwig-Maximilians-Universität München德国3
5. University of Tabriz伊朗3
6. Central Institution for Meteorology and Geodynamics奥地利3
7. Swedish Meteorological and Hydrological Institute瑞典3
8. Centre National de la Recherche Scientifique法国2

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逐年被引

最新文献

1. 1
   The Robustness of Mental Accounting Across 21 CountriesJournal of Consumer Research20261
2. 2
   Geo-environmental controls on gully erosion in loess-covered regions: a geomorphological analysis and machine learning approachNatural Hazards20260
3. 3
   Assessment of heavy metal contamination and source identification in wetland soils of Rara National Park, central HimalayasStochastic Environmental Research and Risk Assessment20253
4. 4
   Tracing online flood conversations across borders: a watershed-level analysis of geo-social media topics during the 2021 European floodNatural Hazards and Earth System Sciences20252
5. 5
   Legal and ethical considerations for demand-driven data collection and AI-based analysis in flood responseInternational Journal of Disaster Risk Reduction20258
6. 6
   Correction to: Fusion of geospatial information from remote sensing and social media to prioritise rapid response actions in case of floodsNatural Hazards20251
7. 7
   Fusion of geospatial information from remote sensing and social media to prioritise rapid response actions in case of floodsNatural Hazards202520
8. 8
   A spatiotemporal risk prediction of wildlife-vehicle collisions using machine learning for dynamic warningsJournal of Safety Research20226
9. 9
   Mass movement susceptibility assessment of alpine infrastructure in the Salzkammergut area, AustriaInternational Journal of Disaster Risk Reduction202213
10. 10
    Flood susceptibility mapping using meta-heuristic algorithmsGeomatics, Natural Hazards and Risk202285

高被引文献

1. 1
   Flood susceptibility mapping using an improved analytic network process with statistical modelsGeomatics, Natural Hazards and Risk2020178
2. 2
   The Disaster-Knowledge Matrix – Reframing and evaluating the knowledge challenges in disaster risk reductionInternational Journal of Disaster Risk Reduction2015132
3. 3
   A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mappingNatural Hazards2018127
4. 4
   Multi-criteria risk evaluation by integrating an analytical network process approach into GIS-based sensitivity and uncertainty analysesGeomatics, Natural Hazards and Risk2017117
5. 5
   Landslide susceptibility assessment in a lesser Himalayan road corridor (India) applying fuzzy AHP technique and earth-observation dataGeomatics, Natural Hazards and Risk2020115
6. 6
   Comparison and validation of per-pixel and object-based approaches for landslide susceptibility mappingGeomatics, Natural Hazards and Risk202085
7. 7
   Flood susceptibility mapping using meta-heuristic algorithmsGeomatics, Natural Hazards and Risk202285
8. 8
   Detection of areas prone to flood risk using state-of-the-art machine learning modelsGeomatics, Natural Hazards and Risk202181
9. 9
   Gully erosion susceptibility mapping (GESM) using machine learning methods optimized by the multi‑collinearity analysis and K-fold cross-validationGeomatics, Natural Hazards and Risk202073
10. 10
    Measuring the progress of a recovery process after an earthquake: The case of L'aquila, ItalyInternational Journal of Disaster Risk Reduction201770

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