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Gianluca Martelloni
Gianluca Martelloni
Teaching fellow, Politecnico di Milano, Italy
在 arcetri.inaf.it 的电子邮件经过验证
标题
引用次数
引用次数
年份
Rainfall thresholds for the forecasting of landslide occurrence at regional scale
G Martelloni, S Segoni, R Fanti, F Catani
Landslides 9, 485-495, 2012
3022012
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 Garcia-Olivares, J Ballabrera-Poy, ...
Renewable and sustainable energy reviews 132, 110105, 2020
542020
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
482013
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
352020
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
272020
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
242020
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
232021
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
232020
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
212013
Modeling warfare in social animals: a" chemical" approach
A Santarlasci, G Martelloni, F Frizzi, G Santini, F Bagnoli
PloS One 9 (11), e111310, 2014
172014
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
162019
Pattern Analysis of World Conflicts over the past 600 years
G Martelloni, F Di Patti, U Bardi
arXiv preprint arXiv:1812.08071, 2018
162018
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
162013
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
132011
A dynamical population modeling of invasive species with reference to the crayfish Procambarus clarkii
G Martelloni, S Marsili Libelli, F Bagnoli
Theoretical Biology Forum: 105, 2, 2012, 47-70, 2012
112012
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
102017
Infiltration effects on a two-dimensional molecular dynamics model of landslides
G Martelloni, F Bagnoli
Natural hazards 73, 37-62, 2014
102014
MEDEAS-World model calibration for the study of the energy transition
G Martelloni, I Perissi
pIJ: puntOorg international journal: 4, 2, 2019, 119-140, 2019
72019
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
62016
Different methods to produce distributed soil thickness maps and their impact on the reliability of shallow landslide modeling at catchment scale
S Segoni, G Martelloni, F Catani
Landslide Science and Practice: Volume 3: Spatial Analysis and Modelling …, 2013
62013
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