| A review of the recent literature on rainfall thresholds for landslide occurrence S Segoni, L Piciullo, SL Gariano Landslides 15 (8), 1483-1501, 2018 | 580 | 2018 |
| Territorial early warning systems for rainfall-induced landslides L Piciullo, M Calvello, JM Cepeda Earth-Science Reviews 179, 228-247, 2018 | 314 | 2018 |
| Monitoring strategies for local landslide early warning systems G Pecoraro, M Calvello, L Piciullo Landslides 16, 213-231, 2019 | 234 | 2019 |
| Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides L Piciullo, SL Gariano, M Melillo, MT Brunetti, S Peruccacci, F Guzzetti, ... Landslides 14 (3), 995-1008, 2017 | 163 | 2017 |
| Modelling of shallow landslides with machine learning algorithms Z Liu, G Gilbert, JM Cepeda, AOK Lysdahl, L Piciullo, H Hefre, S Lacasse Geoscience Frontiers 12 (1), 385-393, 2021 | 160 | 2021 |
| SPH run-out modelling of channelised landslides of the flow type L Cascini, S Cuomo, M Pastor, G Sorbino, L Piciullo Geomorphology 214, 502-513, 2014 | 160 | 2014 |
| A new look at the statistics of tailings dam failures L Piciullo, EB Storrøsten, Z Liu, F Nadim, S Lacasse Engineering Geology 303, 106657, 2022 | 122 | 2022 |
| The Rio de Janeiro early warning system for rainfall-induced landslides: analysis of performance for the years 2010–2013 M Calvello, RN d’Orsi, L Piciullo, N Paes, M Magalhaes, WA Lacerda International journal of disaster risk reduction 12, 3-15, 2015 | 119 | 2015 |
| Assessing the performance of regional landslide early warning models: the EDuMaP method M Calvello, L Piciullo Natural Hazards and Earth System Sciences 16 (1), 103-122, 2016 | 56 | 2016 |
| Preface: Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception S Segoni, L Piciullo, SL Gariano Natural Hazards and Earth System Sciences 18 (12), 3179-3186, 2018 | 49 | 2018 |
| Standards for the performance assessment of territorial landslide early warning systems L Piciullo, D Tiranti, G Pecoraro, JM Cepeda, M Calvello Landslides 17, 2533-2546, 2020 | 46 | 2020 |
| Adapting the EDuMaP method to test the performance of the Norwegian early warning system for weather-induced landslides L Piciullo, MP Dahl, G Devoli, H Colleuille, M Calvello Natural Hazards and Earth System Sciences 17 (6), 817-831, 2017 | 30 | 2017 |
| Assessment of building damage due to excavation-induced displacements: The GIBV method L Piciullo, S Ritter, AOK Lysdahl, J Langford, F Nadim Tunnelling and Underground Space Technology 108, 103673, 2021 | 25 | 2021 |
| Regional analyses of rainfall-induced landslide initiation in Upper Gudbrandsdalen (South-Eastern Norway) using TRIGRS model L Schilirò, J Cepeda, G Devoli, L Piciullo Geosciences 11 (1), 35, 2021 | 25 | 2021 |
| The community-based alert and alarm system for rainfall induced landslides in Rio de Janeiro, Brazil M Calvello, RN D’Orsi, L Piciullo, NM Paes, MA Magalhaes, R Coelho, ... Engineering Geology for Society and Territory-Volume 2: Landslide Processes …, 2015 | 24 | 2015 |
| A first step towards a IoT-based local early warning system for an unsaturated slope in Norway L Piciullo, V Capobianco, H Heyerdahl Natural Hazards 114 (3), 3377-3407, 2022 | 21 | 2022 |
| Modeling of propagation and entrainment phenomena for landslides of the flow type: the May 1998 case study L Cascini, S Cuomo, M Pastor, G Sorbino, L Piciullo Proceedings of the 11th International Symposium on Landslides: Landslides …, 2012 | 18 | 2012 |
| Risk assessment of terrestrial transportation infrastructures exposed to extreme events U Eidsvig, M Santamaría, N Galvão, N Tanasic, L Piciullo, R Hajdin, ... Infrastructures 6 (11), 163, 2021 | 13 | 2021 |
| Calibration of rainfall thresholds for landslide early warning purposes: applying the EDuMaP method to the system deployed in Campania region (Italy) L Piciullo, I Siano, M Calvello Landslides and Engineered Slopes. Experience, Theory and Practice, 1621-1629, 2018 | 9 | 2018 |
| Regional-scale spatiotemporal landslide probability assessment through machine learning and potential applications for operational warning systems: a case study in Kvam (Norway) N Nocentini, A Rosi, L Piciullo, Z Liu, S Segoni, R Fanti Landslides, 1-19, 2024 | 7 | 2024 |