| Vulnerability indicators for natural hazards: An innovative selection and weighting approach M Papathoma-Köhle, M Schlögl, S Fuchs Scientific Reports 9 (1), 15026, 2019 | 111 | 2019 |
| A comparison of statistical learning methods for deriving determining factors of accident occurrence from an imbalanced high resolution dataset M Schlögl, R Stütz, G Laaha, M Melcher Accident Analysis & Prevention 127, 134-149, 2019 | 92 | 2019 |
| Comprehensive time-series analysis of bridge deformation using differential satellite radar interferometry based on Sentinel-1 M Schlögl, B Widhalm, M Avian ISPRS Journal of Photogrammetry and Remote Sensing 172, 132-146, 2021 | 60 | 2021 |
| On the nexus between landslide susceptibility and transport infrastructure–an agent-based approach M Schlögl, G Richter, M Avian, T Thaler, G Heiss, G Lenz, S Fuchs Natural hazards and earth system sciences 19 (1), 201-219, 2019 | 59 | 2019 |
| Methodological considerations with data uncertainty in road safety analysis M Schlögl, R Stütz Accident Analysis & Prevention 130, 136-150, 2019 | 56 | 2019 |
| A multivariate analysis of environmental effects on road accident occurrence using a balanced bagging approach M Schlögl Accident Analysis & Prevention 136, 105398, 2020 | 53 | 2020 |
| Expert-based versus data-driven flood damage models: A comparative evaluation for data-scarce regions MB Malgwi, M Schlögl, M Keiler International Journal of Disaster Risk Reduction 57, 102148, 2021 | 50 | 2021 |
| Can ISO-defined urban sustainability indicators be derived from remote sensing: An expert weighting approach A Lehner, C Erlacher, M Schlögl, J Wegerer, T Blaschke, K Steinnocher Sustainability 10 (4), 1268, 2018 | 50 | 2018 |
| Potential future exposure of European land transport infrastructure to rainfall-induced landslides throughout the 21st century M Schlögl, C Matulla Natural Hazards and Earth System Sciences 18 (4), 1121-1132, 2018 | 48 | 2018 |
| A model to predict flood loss in mountain areas S Fuchs, M Heiser, M Schlögl, A Zischg, M Papathoma-Köhle, M Keiler Environmental Modelling & Software 117, 176-180, 2019 | 45 | 2019 |
| Physical vulnerability to dynamic flooding: Vulnerability curves and vulnerability indices M Papathoma-Köhle, M Schlögl, L Dosser, F Roesch, M Borga, M Erlicher, ... Journal of Hydrology 607, 127501, 2022 | 41 | 2022 |
| A wildfire vulnerability index for buildings M Papathoma-Köhle, M Schlögl, C Garlichs, M Diakakis, S Mavroulis, ... Scientific Reports 12 (1), 6378, 2022 | 40 | 2022 |
| Trends in torrential flooding in the Austrian Alps: A combination of climate change, exposure dynamics, and mitigation measures M Schlögl, S Fuchs, C Scheidl, M Heiser Climate Risk Management 32, 100294, 2021 | 36 | 2021 |
| Extreme weather exposure identification for road networks–a comparative assessment of statistical methods M Schlögl, G Laaha Natural Hazards and Earth System Sciences 17 (4), 515-531, 2017 | 34 | 2017 |
| Risk communication and adaptive behaviour in flood-prone areas of Austria: A Q-methodology study on opinions of affected homeowners MS Attems, M Schlögl, T Thaler, M Rauter, S Fuchs PLoS one 15 (5), e0233551, 2020 | 24 | 2020 |
| The status of earth observation techniques in monitoring high mountain environments at the example of pasterze glacier, Austria: Data, methods, accuracies, processes, and scales M Avian, C Bauer, M Schlögl, B Widhalm, KH Gutjahr, M Paster, C Hauer, ... Remote Sensing 12 (8), 1251, 2020 | 21 | 2020 |
| The challenge to use multi-temporal InSAR for landslide early warning M Schlögl, K Gutjahr, S Fuchs Natural Hazards 112 (3), 2913-2919, 2022 | 20 | 2022 |
| Remote sensing techniques for bridge deformation monitoring at millimetric scale: investigating the potential of satellite radar interferometry, airborne laser scanning and … M Schlögl, P Dorninger, M Kwapisz, M Ralbovsky, R Spielhofer PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science 90 …, 2022 | 16 | 2022 |
| Establishment of a long-term lake-surface temperature dataset within the European Alps extending back to 1880 C Matulla, J Tordai, M Schlögl, M Ganekind, H Matulla, H Ressl, ... Climate Dynamics 52, 5673-5689, 2019 | 12 | 2019 |
| Derivation of canonical total-sequences triggering landslides and floodings in complex terrain K Enigl, C Matulla, M Schlögl, F Schmid Advances in Water Resources 129, 178-188, 2019 | 11 | 2019 |
Sven FuchsBOKU University, Vienna, AustriaCorreu electrònic verificat a boku.ac.at
