Constantine the Philosopher University in Nitra

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. Slovak Academy of Sciences斯洛伐克6
2. HUTECH University2
3. Università degli Studi della Tuscia意大利2
4. Kerala University of Fisheries and Ocean Studies印度1
5. Ton Duc Thang University越南1
6. Chinese Academy of Sciences中国1
7. Thuyloi University越南1
8. University of Bucharest罗马尼亚1

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逐年被引

最新文献

1. 1
   Rapid and high-resolution prediction of fluvial flood inundation using machine learning models trained on hydraulically derived data and river segmentationGeomatics, Natural Hazards and Risk20260
2. 2
   Spatial and temporal changes of social flood vulnerability in municipalities of SlovakiaGeomatics, Natural Hazards and Risk20262
3. 3
   Spatial Disparities in Drawing the Operational Programme Quality of Environment With the Focus on Flood‐Related Projects in SlovakiaJournal of Flood Risk Management20251
4. 4
   Comparative analysis of hydraulic and GIS-based Height Above the Nearest Drainage model for fluvial flood hazard mapping: a case of the Gidra River, SlovakiaStochastic Environmental Research and Risk Assessment202512
5. 5
   Fluvial and pluvial flood hazard mapping: combining basin and municipal scale assessmentGeomatics, Natural Hazards and Risk202411
6. 6
   Riverine flood potential assessment using metaheuristic hybrid machine learning algorithmsJournal of Flood Risk Management202319
7. 7
   A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mappingGeomatics, Natural Hazards and Risk2021149
8. 8
   Comparison of multi-criteria-analytical hierarchy process and machine learning-boosted tree models for regional flood susceptibility mapping: a case study from SlovakiaGeomatics, Natural Hazards and Risk202196
9. 9
   Assessment of landslide susceptibility at a local spatial scale applying the multi-criteria analysis and GIS: a case study from SlovakiaGeomatics, Natural Hazards and Risk202084
10. 10
    Flood hazard and flood risk assessment at the local spatial scale: a case studyGeomatics, Natural Hazards and Risk2016155

高被引文献

1. 1
   Flood hazard and flood risk assessment at the local spatial scale: a case studyGeomatics, Natural Hazards and Risk2016155
2. 2
   A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mappingGeomatics, Natural Hazards and Risk2021149
3. 3
   Comparison of multi-criteria-analytical hierarchy process and machine learning-boosted tree models for regional flood susceptibility mapping: a case study from SlovakiaGeomatics, Natural Hazards and Risk202196
4. 4
   Assessment of landslide susceptibility at a local spatial scale applying the multi-criteria analysis and GIS: a case study from SlovakiaGeomatics, Natural Hazards and Risk202084
5. 5
   Riverine flood potential assessment using metaheuristic hybrid machine learning algorithmsJournal of Flood Risk Management202319
6. 6
   Comparative analysis of hydraulic and GIS-based Height Above the Nearest Drainage model for fluvial flood hazard mapping: a case of the Gidra River, SlovakiaStochastic Environmental Research and Risk Assessment202512
7. 7
   Fluvial and pluvial flood hazard mapping: combining basin and municipal scale assessmentGeomatics, Natural Hazards and Risk202411
8. 8
   Spatial and temporal changes of social flood vulnerability in municipalities of SlovakiaGeomatics, Natural Hazards and Risk20262
9. 9
   Spatial Disparities in Drawing the Operational Programme Quality of Environment With the Focus on Flood‐Related Projects in SlovakiaJournal of Flood Risk Management20251

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