Mario Martina

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	Vse	Od leta 2020
Navedbe	1986	1084
indeks h	21	17
indeks i10	30	24

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Soavtorji

Rui FigueiredoUniversity of PortoPreverjeni e-poštni naslov na ciimar.up.pt
Marcello ArosioPostdoctoral Fellow at IUSS PaviaPreverjeni e-poštni naslov na iusspavia.it
Francesco DottoriIUSS PaviaPreverjeni e-poštni naslov na iusspavia.it
Brunella BonaccorsoUniversity of MessinaPreverjeni e-poštni naslov na unime.it
Luigi CesariniIUSS di PaviaPreverjeni e-poštni naslov na iusspavia.it
Matteo BertiUniversità di BolognaPreverjeni e-poštni naslov na unibo.it
Jo De WaeleUniversità di BolognaPreverjeni e-poštni naslov na unibo.it
Kreibich HeidiHead of WG Flood Risk and Climate Adaptation, GFZPreverjeni e-poštni naslov na gfz-potsdam.de
Laura SannaInstitute of Environmental Geology and Geoengineering - National Research Council of ItalyPreverjeni e-poštni naslov na igag.cnr.it
Enrico Fortunato CreacoUniversità degli Studi di PaviaPreverjeni e-poštni naslov na unipv.it
Ricardo MonteiroAssociate Professor, IUSS PaviaPreverjeni e-poštni naslov na iusspavia.it
Carmine GalassoUniversity College LondonPreverjeni e-poštni naslov na ucl.ac.uk
Benjamin YoungmanUniversity of ExeterPreverjeni e-poštni naslov na exeter.ac.uk
Angelo BasileCNR - ISAFOMPreverjeni e-poštni naslov na cnr.it
Antonio CoppolaProfessor of Agricultural and Forestry Basin HydrologyPreverjeni e-poštni naslov na unibas.it
Luigia BrandimarteKTH Royal Institute of Technology, StockholmPreverjeni e-poštni naslov na abe.kth.se
Professor David StephensonExeter Climate Systems, University of Exeter, UKPreverjeni e-poštni naslov na exeter.ac.uk
Marco BorgaUniversity of PadovaPreverjeni e-poštni naslov na unipd.it
Fabio Dell'AcquaDipartimento di Ingegneria Industriale e dell'Informazione - University of Pavia - Pavia, ItalyPreverjeni e-poštni naslov na unipv.it
Gianni Cristian IannelliUniversity of PaviaPreverjeni e-poštni naslov na unipv.it

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Mario Martina

Full Professor, IUSS Pavia

Preverjeni e-poštni naslov na iusspavia.it - Domača stran

Civil Engineering


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Probabilistic rainfall thresholds for landslide occurrence using a Bayesian approach M Berti, MLV Martina, S Franceschini, S Pignone, A Simoni, M Pizziolo Journal of Geophysical Research: Earth Surface 117 (F4), 2012	332	2012
A Bayesian decision approach to rainfall thresholds based flood warning MLV Martina, E Todini, A Libralon Hydrology and Earth System Sciences 10 (3), 413-426, 2006	186	2006
Flood forecasting using a fully distributed model: application of the TOPKAPI model to the Upper Xixian Catchment Z Liu, MLV Martina, E Todini Hydrology and Earth System Sciences 9 (4), 347-364, 2005	182	2005
A dynamic rating curve approach to indirect discharge measurement F Dottori, MLV Martina, E Todini Hydrology and Earth System Sciences 13 (6), 847-863, 2009	169	2009
INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis F Dottori, R Figueiredo, MLV Martina, D Molinari, AR Scorzini Natural Hazards and Earth System Sciences 16 (12), 2577-2591, 2016	161	2016
A methodology for flood susceptibility and vulnerability analysis in complex flood scenarios F Dottori, MLV Martina, R Figueiredo Journal of Flood Risk Management 11, S632-S645, 2018	103	2018
Multi-model ensembles for assessment of flood losses and associated uncertainty R Figueiredo, K Schröter, A Weiss-Motz, MLV Martina, H Kreibich Natural Hazards and Earth System Sciences 18 (5), 1297-1314, 2018	65	2018
Reply to comment by Keith Beven, Paul Smith and Jim Freer on “Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology” P Mantovan, E Todini, MLV Martina Journal of Hydrology 338 (3-4), 319-324, 2007	65	2007
Flash flood hydrology in karstic terrain: Flumineddu Canyon, central-east Sardinia J De Waele, MLV Martina, L Sanna, S Cabras, QA Cossu Geomorphology 120 (3-4), 162-173, 2010	61	2010
Using open building data in the development of exposure data sets for catastrophe risk modelling R Figueiredo, M Martina Natural Hazards and Earth System Sciences 16 (2), 417-429, 2016	53	2016
The whole is greater than the sum of its parts: a holistic graph-based assessment approach for natural hazard risk of complex systems M Arosio, MLV Martina, R Figueiredo Natural Hazards and Earth System Sciences 20 (2), 521-547, 2020	44	2020
Potential and limitations of using soil mapping information to understand landscape hydrology F Terribile, A Coppola, G Langella, M Martina, A Basile Hydrology and Earth System Sciences 15 (12), 3895-3933, 2011	39	2011
The potential of machine learning for weather index insurance L Cesarini, R Figueiredo, B Monteleone, MLV Martina Natural Hazards and Earth System Sciences 21 (8), 2379-2405, 2021	36	2021
A probabilistic paradigm for the parametric insurance of natural hazards R Figueiredo, MLV Martina, DB Stephenson, BD Youngman Risk Analysis 38 (11), 2400-2414, 2018	32	2018
Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves B Monteleone, I Borzí, B Bonaccorso, M Martina Natural Hazards 116 (3), 2761-2796, 2023	31	2023
Developing stage-specific drought vulnerability curves for maize: The case study of the Po River basin B Monteleone, I Borzí, B Bonaccorso, M Martina Agricultural Water Management 269, 107713, 2022	28	2022
A joint probabilistic index for objective drought identification: the case study of Haiti B Monteleone, B Bonaccorso, M Martina Natural Hazards and Earth System Sciences 20 (2), 471-487, 2020	26	2020
Preserving the dominant physical processes in a lumped hydrological model MLV Martina, E Todini, Z Liu Journal of Hydrology 399 (1-2), 121-131, 2011	26	2011
A novel strategy for very-large-scale cash-crop mapping in the context of weather-related risk assessment, combining global satellite multispectral datasets, environmental … F Dell’Acqua, GC Iannelli, MA Torres, MLV Martina Sensors 18 (2), 591, 2018	23	2018
Rainfall thresholds for flood warning systems: A Bayesian decision approach MLV Martina, E Todini, A Libralon Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and …, 2008	23	2008

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