| Recommendations for the quantitative analysis of landslide risk J Corominas, C van Westen, P Frattini, L Cascini, JP Malet, S Fotopoulou, ... Bulletin of engineering geology and the environment 73, 209-263, 2014 | 1136 | 2014 |
| Artificial neural networks applied to landslide susceptibility assessment L Ermini, F Catani, N Casagli geomorphology 66 (1-4), 327-343, 2005 | 627 | 2005 |
| Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues F Catani, D Lagomarsino, S Segoni, V Tofani Natural Hazards and Earth System Sciences 13 (11), 2815-2831, 2013 | 503 | 2013 |
| Monitoring, prediction, and early warning using ground-based radar interferometry N Casagli, F Catani, C Del Ventisette, G Luzi Landslides 7, 291-301, 2010 | 315 | 2010 |
| Statistical analysis of drainage density from digital terrain data GE Tucker, F Catani, A Rinaldo, RL Bras Geomorphology 36 (3-4), 187-202, 2001 | 304 | 2001 |
| Rainfall thresholds for the forecasting of landslide occurrence at regional scale G Martelloni, S Segoni, R Fanti, F Catani Landslides 9, 485-495, 2012 | 292 | 2012 |
| Landslide hazard and risk mapping at catchment scale in the Arno River basin F Catani, N Casagli, L Ermini, G Righini, G Menduni Landslides 2, 329-342, 2005 | 292 | 2005 |
| Persistent Scatterer Interferometry (PSI) technique for landslide characterization and monitoring V Tofani, F Raspini, F Catani, N Casagli Remote Sensing 5 (3), 1045-1065, 2013 | 288 | 2013 |
| Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China C Zhou, K Yin, Y Cao, B Ahmed, Y Li, F Catani, HR Pourghasemi Computers & geosciences 112, 23-37, 2018 | 281 | 2018 |
| Landslide prediction, monitoring and early warning: a concise review of state-of-the-art BG Chae, HJ Park, F Catani, A Simoni, M Berti Geosciences Journal 21, 1033-1070, 2017 | 269 | 2017 |
| The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution A Rosi, V Tofani, L Tanteri, C Tacconi Stefanelli, A Agostini, F Catani, ... Landslides 15, 5-19, 2018 | 210 | 2018 |
| An empirical geomorphology‐based approach to the spatial prediction of soil thickness at catchment scale F Catani, S Segoni, G Falorni Water resources research 46 (5), 2010 | 184 | 2010 |
| Use of remote sensing for landslide studies in Europe V Tofani, S Segoni, A Agostini, F Catani, N Casagli Natural Hazards and Earth System Sciences 13 (2), 299-309, 2013 | 163 | 2013 |
| On the application of SAR interferometry to geomorphological studies: estimation of landform attributes and mass movements F Catani, P Farina, S Moretti, G Nico, T Strozzi Geomorphology 66 (1-4), 119-131, 2005 | 151 | 2005 |
| Displacement prediction of step-like landslide by applying a novel kernel extreme learning machine method C Zhou, K Yin, Y Cao, E Intrieri, B Ahmed, F Catani Landslides 15, 2211-2225, 2018 | 146 | 2018 |
| Persistent Scatterers Interferometry Hotspot and Cluster Analysis (PSI-HCA) for detection of extremely slow-moving landslides P Lu, N Casagli, F Catani, V Tofani International journal of remote sensing 33 (2), 466-489, 2012 | 145 | 2012 |
| Landslides triggered by rainfall: A semi-automated procedure to define consistent intensity–duration thresholds S Segoni, G Rossi, A Rosi, F Catani Computers & Geosciences 63, 123-131, 2014 | 136 | 2014 |
| HIRESSS: a physically based slope stability simulator for HPC applications G Rossi, F Catani, L Leoni, S Segoni, V Tofani Natural Hazards and Earth System Sciences 13 (1), 151-166, 2013 | 136 | 2013 |
| Geomorphic indexing of landslide dams evolution CT Stefanelli, S Segoni, N Casagli, F Catani Engineering Geology 208, 1-10, 2016 | 132 | 2016 |
| Analysing the relationship between rainfalls and landslides to define a mosaic of triggering thresholds for regional-scale warning systems S Segoni, A Rosi, G Rossi, F Catani, N Casagli Natural Hazards and Earth System Sciences 14 (9), 2637-2648, 2014 | 120 | 2014 |
Nicola CasagliUniversity of Florence, Department of Earth SciencesVerified email at unifi.it
