MOLINARI, DANIELA
 Distribuzione geografica
Continente #
NA - Nord America 1.306
EU - Europa 931
AS - Asia 353
AF - Africa 81
SA - Sud America 26
OC - Oceania 25
Continente sconosciuto - Info sul continente non disponibili 1
Totale 2.723
Nazione #
US - Stati Uniti d'America 1.284
IT - Italia 389
DE - Germania 202
FR - Francia 105
CN - Cina 91
GB - Regno Unito 48
VN - Vietnam 41
TR - Turchia 38
IN - India 36
NL - Olanda 30
ZA - Sudafrica 30
ES - Italia 24
AT - Austria 20
IE - Irlanda 18
AU - Australia 17
PH - Filippine 17
IR - Iran 16
CA - Canada 15
EG - Egitto 15
HR - Croazia 15
AE - Emirati Arabi Uniti 14
TW - Taiwan 13
ID - Indonesia 12
PK - Pakistan 12
CZ - Repubblica Ceca 11
UA - Ucraina 11
SE - Svezia 10
SG - Singapore 10
HK - Hong Kong 9
MY - Malesia 9
BR - Brasile 8
NZ - Nuova Zelanda 8
RU - Federazione Russa 8
CL - Cile 7
FI - Finlandia 7
JP - Giappone 7
KR - Corea 7
MX - Messico 7
GH - Ghana 6
RO - Romania 6
AR - Argentina 5
MK - Macedonia 5
NG - Nigeria 5
BO - Bolivia 4
CH - Svizzera 4
GR - Grecia 4
LK - Sri Lanka 4
NP - Nepal 4
BD - Bangladesh 3
DZ - Algeria 3
IL - Israele 3
KE - Kenya 3
SI - Slovenia 3
UG - Uganda 3
AF - Afghanistan, Repubblica islamica di 2
BE - Belgio 2
BF - Burkina Faso 2
CG - Congo 2
CM - Camerun 2
DK - Danimarca 2
NO - Norvegia 2
SK - Slovacchia (Repubblica Slovacca) 2
TN - Tunisia 2
BG - Bulgaria 1
BJ - Benin 1
CI - Costa d'Avorio 1
CO - Colombia 1
ET - Etiopia 1
EU - Europa 1
GE - Georgia 1
HU - Ungheria 1
IQ - Iraq 1
JO - Giordania 1
LS - Lesotho 1
LU - Lussemburgo 1
MA - Marocco 1
MW - Malawi 1
RE - Reunion 1
TH - Thailandia 1
TZ - Tanzania 1
UY - Uruguay 1
UZ - Uzbekistan 1
Totale 2.723
Città #
Fairfield 156
Ashburn 145
Houston 90
Buffalo 86
Seattle 85
Milan 80
Santa Cruz 80
Woodbridge 71
Cambridge 48
Wilmington 32
Dong Ket 24
Paris 20
Yenişehir 20
Chicago 18
Ann Arbor 16
Nürnberg 16
Las Vegas 15
Dublin 13
London 13
Los Angeles 13
Rome 13
Boardman 12
Mountain View 12
Muizenberg 12
Phoenix 12
San Diego 12
Vienna 12
Beijing 10
Shanghai 10
Taipei 10
University Park 10
Clearwater 9
Palermo 9
Mugla 8
San Francisco 8
Tehran 8
Durban 7
Florence 7
Giza 7
Kolkata 7
Leawood 7
Lucca 7
Padova 7
Rock Island 7
Wuhan 7
Accra 6
Amsterdam 6
Council Bluffs 6
Dallas 6
Guangzhou 6
Hangzhou 6
Hanoi 6
Helsinki 6
Madrid 6
Montpellier 6
Muenster 6
Potsdam 6
Riva 6
San Jose 6
Sant Cugat del Vallès 6
Shenyang 6
Centro 5
Eisenstadt 5
Heidelberg 5
New York 5
Al Mansurah 4
Barcelona 4
Camerano 4
Core 4
Delft 4
Genoa 4
Guwahati 4
Henderson 4
Izmir 4
Jakarta 4
Nulvi 4
Parma 4
Segrate 4
Silverton 4
Sukkur 4
Sydney 4
Torino 4
Turin 4
Zagreb 4
Brescia 3
Cairo 3
Dhaka 3
Garbagnate Milanese 3
Hurlingham 3
Johannesburg 3
Katsina 3
Lake Forest 3
Ljubljana 3
Luzzara 3
Manchester 3
Miami 3
Nottingham 3
Palembang 3
Pasadena 3
Pavia 3
Totale 1.511
Nome #
INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis, file e0c31c0a-26a5-4599-e053-1705fe0aef77 483
Adaptation to flood risk: Results of international paired flood event studies, file e0c31c0b-3c68-4599-e053-1705fe0aef77 187
Improvements and Operational Application of a Zero-Order Quick Assessment Model for Flood Damage: A Case Study in Italy, file e0c31c11-ea88-4599-e053-1705fe0aef77 184
Validation of flood risk models: Current practice and possible improvements, file e0c31c11-b032-4599-e053-1705fe0aef77 183
Ex post damage assessment: an Italian experience, file e0c31c08-2983-4599-e053-1705fe0aef77 166
Flood damage: a model for consistent, complete and multipurpose scenarios, file e0c31c0a-33ac-4599-e053-1705fe0aef77 157
A New Tool to Estimate Inundation Depths by Spatial Interpolation (RAPIDE): Design, Application and Impact on Quantitative Assessment of Flood Damages, file e0c31c0d-189a-4599-e053-1705fe0aef77 138
AGRIDE-c, a conceptual model for the estimation of flood damage to crops: development and implementation, file e0c31c0e-9e42-4599-e053-1705fe0aef77 128
On the Influence of Input Data Quality to Flood Damage Estimation: The Performance of the INSYDE Model, file e0c31c0b-2633-4599-e053-1705fe0aef77 119
Post-flood damage data: requirements for disaster forensic investigation, file e0c31c09-ff94-4599-e053-1705fe0aef77 117
On the modeling of significance for flood damage assessment, file e0c31c0d-95ec-4599-e053-1705fe0aef77 112
Brief Communication: Simple-INSYDE, development of a new tool for flood damage evaluation from an existing synthetic model, file e0c31c10-5939-4599-e053-1705fe0aef77 99
Flood damage data analysis: towards an improvement of data quality and usability, file e0c31c09-f93b-4599-e053-1705fe0aef77 96
Comparing post-event and pre-event damage assessment: Information gaps and lessons learnt, file e0c31c09-f9a2-4599-e053-1705fe0aef77 95
Are flood damage models converging to “reality”? Lessons learnt from a blind test, file e0c31c10-77c0-4599-e053-1705fe0aef77 82
The RISPOSTA procedure for the collection, storage and analysis of high quality, consistent and reliable damage data in the aftermath of floods, file e0c31c0e-a091-4599-e053-1705fe0aef77 81
A new framework for flood damage assessment considering the within-event time evolution of hazard, exposure, and vulnerability, file 157ed70b-b193-4394-b4b3-07c378f830ec 63
Residential sector, file e0c31c10-d8d6-4599-e053-1705fe0aef77 62
Evaluating the flood damage on dairy farms: a methodological proposal, file e0c31c0f-7143-4599-e053-1705fe0aef77 56
Hess Opinions: An interdisciplinary research agenda to explore the unintended consequences of structural flood protection, file e0c31c0c-3383-4599-e053-1705fe0aef77 50
Enhancing flood risk maps by a participatory and collaborative design process, file 6c2379b5-1b9a-4389-b8c5-f0daa4340109 46
Brief communication: Key papers of 20 years in Natural Hazards and Earth System Sciences, file e0c31c12-8d72-4599-e053-1705fe0aef77 25
Invited perspectives: When research meets practice: challenges, opportunities, and suggestions from the implementation of the Floods Directive in the largest Italian river basin, file fc4dcb85-5c25-467e-aade-2c230599f06b 20
Co-mapping lab: un’esperienza di costruzione collaborativa delle mappe di rischio alluvionale, file e0c31c0e-b0f0-4599-e053-1705fe0aef77 16
NSYDE-BE: adaptation of the INSYDE model to the Walloon region (Belgium), file e0c31c12-b74f-4599-e053-1705fe0aef77 12
Historical comparison of the damage caused by the propagation of a dam break wave in a pre-alpine valley, file 0341fc1a-022d-470e-8385-d07085616f26 10
Agriculture, file e0c31c10-d8d8-4599-e053-1705fe0aef77 8
null, file e0c31c0c-81bb-4599-e053-1705fe0aef77 7
LA DIFFUSIONE DELLA CONOSCENZA SUL RISCHIO ALLUVIONALE NEL PROGETTO FLOOD-IMPAT+, file e0c31c0c-7759-4599-e053-1705fe0aef77 6
Validation of flood risk models: Current practice and possible improvements, file e0c31c0f-0769-4599-e053-1705fe0aef77 5
A conceptual model for the estimation of flood damage to power grids, file 3f7e4618-306d-4d3d-81d7-eea46f15def0 2
An empirical flood fatality model for Italy using random forest algorithm, file de7b5a44-5a45-4280-ac79-74a0b3227dbd 2
On the modeling of significance for flood damage assessment, file e0c31c08-2585-4599-e053-1705fe0aef77 2
Applying the Flood-IMPAT procedure for assessing and mapping flood risk in the Valle D’Aosta region, file e0c31c0a-0eda-4599-e053-1705fe0aef77 2
Modellazione dell’evento alluvionale che ha interessato la città di Lodi nel novembre 2002, file e0c31c0c-46c5-4599-e053-1705fe0aef77 2
Implementing tools to meet the Floods Directive requirements: a “procedure” to collect, store and manage damage data in the aftermath of flood events, file e0c31c08-1c20-4599-e053-1705fe0aef77 1
Le curve di danno quale strumento a supporto della Direttiva Alluvioni: criticità del contesto Italiano, file e0c31c08-2093-4599-e053-1705fe0aef77 1
The RISPOSTA procedure for the collection, storage and analysis of high quality, consistent and reliable damage data in the aftermath of floods, file e0c31c0a-7cb3-4599-e053-1705fe0aef77 1
A behavioural model for quantifying flood warning effectiveness, Journal of flood risk management, file e0c31c0b-855e-4599-e053-1705fe0aef77 1
On urban inundation and damage modelling, file e0c31c0b-9283-4599-e053-1705fe0aef77 1
Enhancing flood risk maps by a participatory and collaborative design process, file e0c31c0f-b74c-4599-e053-1705fe0aef77 1
Bayesian Data-Driven approach enhances synthetic flood loss models, file e0c31c0f-b750-4599-e053-1705fe0aef77 1
Discussion of "recommendations for Teaching a Successful Design-Based Course: Hydraulic Structure Design" by B. P. Tullis and S. L. Barfuss, file e0c31c11-8bea-4599-e053-1705fe0aef77 1
Totale 2.831
Categoria #
all - tutte 6.569
article - articoli 5.502
book - libri 1
conference - conferenze 907
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 159
Totale 13.138


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/2019149 0 0 0 0 0 0 0 0 0 38 56 55
2019/2020501 41 31 25 29 59 46 38 49 66 34 43 40
2020/2021496 31 27 29 34 64 34 74 25 36 39 54 49
2021/2022451 46 28 24 32 39 19 21 47 20 15 116 44
2022/2023519 16 32 101 54 34 23 26 35 33 33 79 53
2023/2024506 46 49 42 62 54 36 75 72 41 29 0 0
Totale 2.831