| Binary logistic regression versus stochastic gradient boosted decision trees in assessing landslide susceptibility for multiple-occurring landslide events: application to the … L Lombardo, M Cama, C Conoscenti, M Märker, E Rotigliano Natural Hazards 79 (3), 1621-1648, 2015 | 115 | 2015 |
| Spatio-temporal topsoil organic carbon mapping of a semi-arid Mediterranean region: The role of land use, soil texture, topographic indices and the influence of remote sensing … C Schillaci, M Acutis, L Lombardo, A Lipani, M Fantappie, M Märker, ... Science of the total environment 601, 821-832, 2017 | 73 | 2017 |
| Exploring the effect of absence selection on landslide susceptibility models: a case study in Sicily, Italy C Conoscenti, E Rotigliano, M Cama, NA Caraballo-Arias, L Lombardo, ... Geomorphology 261, 222-235, 2016 | 69 | 2016 |
| Presenting logistic regression-based landslide susceptibility results L Lombardo, PM Mai Engineering geology 244, 14-24, 2018 | 63 | 2018 |
| Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model DC Camilo, L Lombardo, PM Mai, J Dou, R Huser Environmental modelling & software 97, 145-156, 2017 | 63 | 2017 |
| GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches A Arabameri, K Rezaei, A Cerda, L Lombardo, J Rodrigo-Comino Science of the total environment 658, 160-177, 2019 | 62 | 2019 |
| A test of transferability for landslides susceptibility models under extreme climatic events: application to the Messina 2009 disaster L Lombardo, M Cama, M Maerker, E Rotigliano Natural hazards 74 (3), 1951-1989, 2014 | 60 | 2014 |
| Spatial modelling of gully erosion using evidential belief function, logistic regression, and a new ensemble of evidential belief function–logistic regression algorithm A Arabameri, B Pradhan, K Rezaei, M Yamani, HR Pourghasemi, ... Land Degradation & Development 29 (11), 4035-4049, 2018 | 58 | 2018 |
| Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster L Lombardo, T Opitz, R Huser Stochastic environmental research and risk assessment 32 (7), 2179-2198, 2018 | 55 | 2018 |
| Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy) M Cama, C Conoscenti, L Lombardo, E Rotigliano Environmental Earth Sciences 75 (3), 1-21, 2016 | 51 | 2016 |
| Improving transferability strategies for debris flow susceptibility assessment: Application to the Saponara and Itala catchments (Messina, Italy) M Cama, L Lombardo, C Conoscenti, E Rotigliano Geomorphology 288, 52-65, 2017 | 50 | 2017 |
| Integration of two-phase solid fluid equations in a catchment model for flashfloods, debris flows and shallow slope failures B Bout, L Lombardo, CJ van Westen, VG Jetten Environmental modelling & software 105, 1-16, 2018 | 48 | 2018 |
| PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches O Rahmati, A Kornejady, M Samadi, RC Deo, C Conoscenti, L Lombardo, ... Science of the total environment 664, 296-311, 2019 | 47 | 2019 |
| Predicting storm-triggered debris flow events: application to the 2009 Ionian Peloritan disaster (Sicily, Italy) M Cama, L Lombardo, C Conoscenti, V Agnesi, E Rotigliano Natural Hazards and Earth System Sciences 15 (8), 1785-1806, 2015 | 40 | 2015 |
| Modelling the topsoil carbon stock of agricultural lands with the Stochastic Gradient Treeboost in a semi-arid Mediterranean region C Schillaci, L Lombardo, S Saia, M Fantappiè, M Märker, M Acutis Geoderma 286, 35-45, 2017 | 37 | 2017 |
| Exploiting Maximum Entropy method and ASTER data for assessing debris flow and debris slide susceptibility for the Giampilieri catchment (north‐eastern Sicily, Italy) L Lombardo, F Bachofer, M Cama, M Märker, E Rotigliano Earth Surface Processes and Landforms 41 (12), 1776-1789, 2016 | 37 | 2016 |
| Presence-only approach to assess landslide triggering-thickness susceptibility: a test for the Mili catchment (north-eastern Sicily, Italy) L Lombardo, G Fubelli, G Amato, M Bonasera Natural Hazards 84 (1), 565-588, 2016 | 36 | 2016 |
| Comparison of machine learning models for gully erosion susceptibility mapping A Arabameri, W Chen, M Loche, X Zhao, Y Li, L Lombardo, A Cerda, ... Geoscience Frontiers 11 (5), 1609-1620, 2020 | 33 | 2020 |
| Comparative assessment using boosted regression trees, binary logistic regression, frequency ratio and numerical risk factor for gully erosion susceptibility modelling A Arabameri, B Pradhan, L Lombardo Catena 183, 104223, 2019 | 32 | 2019 |
| Geostatistical modeling to capture seismic‐shaking patterns from earthquake‐induced landslides L Lombardo, H Bakka, H Tanyas, C van Westen, PM Mai, R Huser Journal of Geophysical Research: Earth Surface 124 (7), 1958-1980, 2019 | 22 | 2019 |
Michael MaerkerAssociate Professor for Physical Geography and Geomorphology, Pavia University, ItalyGeverifieerd e-mailadres voor unipv.it
