| Rainfall thresholds for the forecasting of landslide occurrence at regional scale G Martelloni, S Segoni, R Fanti, F Catani Landslides 9, 485-495, 2012 | 271 | 2012 |
| Snow accumulation/melting model (SAMM) for integrated use in regional scale landslide early warning systems G Martelloni, S Segoni, D Lagomarsino, R Fanti, F Catani Hydrology and Earth System Sciences 17 (3), 1229-1240, 2013 | 37 | 2013 |
| Modelling the renewable transition: Scenarios and pathways for a decarbonized future using pymedeas, a new open-source energy systems model J Solé, R Samsó, E García-Ladona, A García-Olivares, J Ballabrera-Poy, ... Renewable and sustainable energy reviews 132, 110105, 2020 | 35 | 2020 |
| Analysis of the evolution of the Sars-Cov-2 in Italy, the role of the asymptomatics and the success of Logistic model G Martelloni, G Martelloni Chaos, Solitons & Fractals 140, 110150, 2020 | 20 | 2020 |
| Filtering techniques to enhance optical turbulence forecast performances at short time-scales E Masciadri, G Martelloni, A Turchi Monthly Notices of the Royal Astronomical Society 492 (1), 140-152, 2020 | 20 | 2020 |
| Two GUIs-based analysis tool for spectroradiometer data pre-processing F Garfagnoli, G Martelloni, A Ciampalini, L Innocenti, S Moretti Earth Science Informatics 6, 227-240, 2013 | 20 | 2013 |
| Modelling the downhill of the Sars-Cov-2 in Italy and a universal forecast of the epidemic in the world G Martelloni, G Martelloni Chaos, Solitons & Fractals 139, 110064, 2020 | 18 | 2020 |
| Modeling warfare in social animals: a" chemical" approach A Santarlasci, G Martelloni, F Frizzi, G Santini, F Bagnoli PloS One 9 (11), e111310, 2014 | 15 | 2014 |
| Scenario analysis and sensitivity exploration of the MEDEAS Europe energy-economy-environment model R Samsó, I de Blas, I Perissi, G Martelloni, J Solé Energy Strategy Reviews 32, 100582, 2020 | 14 | 2020 |
| A computational toy model for shallow landslides: molecular dynamics approach G Martelloni, F Bagnoli, E Massaro Communications in Nonlinear Science and Numerical Simulation 18 (9), 2479-2492, 2013 | 14 | 2013 |
| Pattern Analysis of World Conflicts over the past 600 years G Martelloni, F Di Patti, U Bardi arXiv preprint arXiv:1812.08071, 2018 | 13 | 2018 |
| Forecasting water vapour above the sites of ESO’s Very Large Telescope (VLT) and the Large Binocular Telescope (LBT) A Turchi, E Masciadri, F Kerber, G Martelloni Monthly Notices of the Royal Astronomical Society 482 (1), 206-218, 2019 | 12 | 2019 |
| Particle based method for shallow landslides: modeling sliding surface lubrication by rainfall E Massaro, G Martelloni, F Bagnoli CMSIM Int J Nonlinear Sci, 147-158, 2011 | 12 | 2011 |
| Infiltration effects on a two-dimensional molecular dynamics model of landslides G Martelloni, F Bagnoli Natural hazards 73, 37-62, 2014 | 11 | 2014 |
| A 3D model for rain-induced landslides based on molecular dynamics with fractal and fractional water diffusion G Martelloni, F Bagnoli, A Guarino Communications in Nonlinear Science and Numerical Simulation 50, 311-329, 2017 | 10 | 2017 |
| A dynamical population modeling of invasive species with reference to the crayfish Procambarus clarkii G Martelloni, S Marsili Libelli, F Bagnoli A Dynamical Population Modeling of Invasive Species with Reference to the …, 2012 | 10 | 2012 |
| Cross-validation of the MEDEAS energy-economy-environment model with the Integrated MARKAL-EFOM System (TIMES) and the Long-range Energy Alternatives Planning system (LEAP) I Perissi, G Martelloni, U Bardi, D Natalini, A Jones, A Nikolaev, L Eggler, ... Sustainability 13 (4), 1967, 2021 | 7 | 2021 |
| Generalized maximum entropy approach to quasistationary states in long-range systems G Martelloni, G Martelloni, P de Buyl, D Fanelli Physical Review E 93 (2), 022107, 2016 | 6 | 2016 |
| An operational warning system for the forecasting of landslide occurrence at regional scale S Segoni, G Martelloni, D Lagomarsino, R Fanti, F Catani Landslide Science and Practice: Volume 2: Early Warning, Instrumentation and …, 2013 | 6 | 2013 |
| MEDEAS-World model calibration for the study of the energy transition G Martelloni, I Perissi MEDEAS-World Model Calibration for the Study of the Energy Transition, 119-140, 2019 | 5 | 2019 |
Filippo CataniProfessor of Engineering Geology - University of Padova, Department of Geosciences - UNESCO ChairVerified email at unipd.it
