CAMELETTI, Michela
 Distribuzione geografica
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Continente #
EU - Europa 16.979
NA - Nord America 6.134
AS - Asia 1.753
SA - Sud America 88
AF - Africa 53
Continente sconosciuto - Info sul continente non disponibili 23
OC - Oceania 15
Totale 25.045
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Nazione #
US - Stati Uniti d'America 5.930
GB - Regno Unito 5.487
PL - Polonia 3.307
IE - Irlanda 2.856
IT - Italia 2.043
CN - Cina 1.197
RU - Federazione Russa 800
FR - Francia 707
DE - Germania 628
SE - Svezia 411
UA - Ucraina 193
CA - Canada 189
SG - Singapore 148
EU - Europa 136
NL - Olanda 94
RO - Romania 89
AT - Austria 77
FI - Finlandia 66
KR - Corea 65
VN - Vietnam 63
ID - Indonesia 58
IN - India 49
CH - Svizzera 43
BR - Brasile 28
CZ - Repubblica Ceca 28
ES - Italia 27
IR - Iran 25
JP - Giappone 25
TH - Thailandia 25
BE - Belgio 24
PE - Perù 23
HK - Hong Kong 22
TR - Turchia 18
LT - Lituania 16
ZA - Sudafrica 15
CO - Colombia 14
GR - Grecia 13
AU - Australia 12
MD - Moldavia 10
TW - Taiwan 10
BD - Bangladesh 8
NO - Norvegia 8
RS - Serbia 8
VE - Venezuela 8
LV - Lettonia 7
SC - Seychelles 7
KZ - Kazakistan 6
MY - Malesia 6
TN - Tunisia 6
AR - Argentina 5
BG - Bulgaria 5
BY - Bielorussia 5
CL - Cile 5
EC - Ecuador 5
HU - Ungheria 5
MX - Messico 5
BJ - Benin 4
DK - Danimarca 4
EG - Egitto 4
KE - Kenya 4
PR - Porto Rico 4
SK - Slovacchia (Repubblica Slovacca) 4
A2 - ???statistics.table.value.countryCode.A2??? 3
AE - Emirati Arabi Uniti 3
ET - Etiopia 3
HR - Croazia 3
KG - Kirghizistan 3
NZ - Nuova Zelanda 3
PH - Filippine 3
PT - Portogallo 3
SI - Slovenia 3
AL - Albania 2
AZ - Azerbaigian 2
CR - Costa Rica 2
IL - Israele 2
IQ - Iraq 2
JO - Giordania 2
PA - Panama 2
PK - Pakistan 2
SA - Arabia Saudita 2
A1 - Anonimo 1
AN - Antille olandesi 1
BH - Bahrain 1
BW - Botswana 1
CU - Cuba 1
DZ - Algeria 1
EE - Estonia 1
GH - Ghana 1
GN - Guinea 1
LA - Repubblica Popolare Democratica del Laos 1
LU - Lussemburgo 1
MA - Marocco 1
MN - Mongolia 1
MO - Macao, regione amministrativa speciale della Cina 1
MT - Malta 1
MZ - Mozambico 1
PS - Palestinian Territory 1
QA - Qatar 1
SD - Sudan 1
SN - Senegal 1
Totale 25.159
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Città #
Southend 5.252
Warsaw 3.261
Dublin 2.824
Jacksonville 555
Mountain View 421
Chandler 401
Beijing 303
Ashburn 302
Ann Arbor 284
Princeton 236
Fairfield 220
Wilmington 214
Dalmine 190
Rancio Valcuvia 173
Nanjing 169
Palermo 157
Seattle 155
Boardman 152
Houston 150
Sunnyvale 149
Toronto 149
Woodbridge 140
Milan 133
Bergamo 132
Salerno 122
Dearborn 108
Cambridge 80
San Mateo 77
Washington 74
Vienna 72
Shanghai 70
Moscow 66
Nanchang 64
Singapore 64
Redwood City 63
Dong Ket 54
Jakarta 47
Andover 46
Rome 45
Kiez 42
Altamura 37
London 35
Los Angeles 30
Guangzhou 29
Rosendahl 28
Atlanta 27
Chicago 27
Ogden 27
Sayreville 27
Shenyang 27
Hebei 26
Shenzhen 26
Jiaxing 25
Kunming 25
Lima 23
Tianjin 23
Rondissone 22
Brescia 20
Malvern 20
Segrate 20
Terni 20
Seoul 19
Turin 19
Amsterdam 18
Hangzhou 18
Kraków 18
Augusta 17
Needham Heights 17
Ottawa 17
New York 15
Ostrava 15
Santa Clara 15
Dallas 14
San Diego 14
Bologna 13
Brussels 13
Jinan 13
Munich 13
Pontypridd 13
Bari 12
Phoenix 12
Verona 12
Berlin 11
Changsha 11
Inzago 11
Southampton 11
Frankfurt am Main 10
Kansas City 10
Kocaeli 10
Norwalk 10
Philadelphia 10
Tehran 10
Vilnius 10
Wuhan 10
Bangkok 9
Chengdu 9
Fremont 9
Green Cove Springs 9
Göttingen 9
Helsinki 9
Totale 18.255
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Nome #
The Cronbach-Mesbah Curve for assessing the unidimensionality oh an item set: the R package MCM 2.519
Dati artificiali e misure in campo nei modelli dinamici per la previsione spaziale delle polveri fini nella Regione Piemonte 977
Modeling pollutant threshold exceedance probabilities in the presence of exogenous variables 761
Comparing air quality statistical models 747
Comparing air quality in Italy, Germany and Poland using BC indexes 644
Comparing air quality among Italy, Germany and Poland using BC indexes 642
Spatial and Spatio-Temporal models with R-INLA 638
A general spatio-temporal model for environmental data 638
TIES - GRASPA 2017 on Climate and Environment. Book of Abstracts - The 27th Annual Conference of the International Environmetrics Society joint with Biennal GRASPA Confeence 638
A statistical approach to heterogeneous monitoring networks 634
Using the SPDE approach for air quality mapping in Piemonte region 564
Proceedings of the GRASPA 2019 Conference, Pescara, 15-16 July 2019 551
A spatio-temporal model for air quality mapping using uncertain covariates 548
Spatial model for cardio-respiratory diseases hospital admission in Torino province 481
Spatial modelling for air pollution epidemiology:hospital admission risk for cardio-respiratory diseases in Torino province 469
Semiautomatic dictionary-based tweet classification for measuring well-being 425
Statistica: richiami teorici ed esercizi svolti 417
Bayesian modeling for spatially misaligned health and air pollution data through the INLA-SPDE approach 411
A statistical emulator for multivariate model outputs with missing values 400
The R package CMC to calculate the Cronbach-Mesbah curve 373
Elementi di statistica 342
Hierarchical modeling of space-time dendroclimatic fields: Comparing a frequentist and a Bayesian approach 331
The change of support problem through the INLA approach 330
Multivariate Statistical Techniques to Manage Multiple Data in Psychology 323
Urban Mobility and Atmospheric Pollution within the Torino Metropolitan Area 320
Excel4PS con applicazioni alla Statistica 314
Uncertainty decomposition in environmental modelling and mapping 313
Spatio-temporal modeling of particulate matter concentration through the SPDE approach 312
Assessing the Effect of Air Pollution on Human Health Using Drug Sales Data 305
Air quality monitoring using heterogeneous networks 302
A statistical approach to heterogeneous monitoring networks 301
A unified statistical approach for simulation, modeling, analysis and mapping of environmental data 300
A GPU Software Library for Likelihood-Based Inference of Environmental Models with Large Datasets 299
The EM algorithm for air quality spatio-temporal models 292
Spatial and Spatio-temporal Bayesian Models with R - INLA 291
Comparing spatio-temporal hierarchical models for air quality data 290
Analysis of massive marked point patterns with stochastic partial differential equations 288
The INLA approach for disease mapping and health risk assessment 287
Species distribution modeling: a statistical review with focus in spatio-temporal issues 287
Comparing air quality in Italy, Germany and Poland using BC indexes 286
The EM algorithm in a distributed computing environment for modelling environmental space-time data 284
Comparing spatio-temporal models for particulate matter in Piemonte 274
Assessment and visualization of threshold exceedance probabilities in complex space–time settings: a case study of air quality in Northern Italy 272
Distributed computing for spatio-temporal hierarchical models 270
GPU algorithms for the estimation of environmental models based on large datasets 266
Error-in-variables spatio-temporal model for PM10 mapping 263
Optimized Strategies for Enhancing the Territorial Coverage in Twitter Data Collection 243
An ordered probit model for seismic intensity data 239
Comparing Methods to Retrieve Tweets: a Sentiment Approach 239
New Frontiers in Measuring the Well-Being in the Big Data Era 231
Estimating the UK Sentiment Using Twitter 218
Two-stage Bayesian model to evaluate the effect of air pollution on chronic respiratory diseases using drug prescriptions 213
A joint Bayesian space–time model to integrate spatially misaligned air pollution data in R-INLA 208
The Effect of Corona Virus Lockdown on Air Pollution: Evidence from the City of Brescia in Lombardia Region (Italy) 204
Semiautomatic dictionary-based classification of environment tweets by topic 203
Estimating weekly excess mortality at sub-national level in Italy during the COVID-19 pandemic 196
Is Structural Equation Modelling Able to Predict Well-being? / È possibile stimare il livello di benessere per mezzo di modelli ad equazioni strutturali? 196
A survey on ecological regression for health hazard associated with air pollution 184
An analysis of temporal and spatial patterns in Italian hospitalization rates for multiple diagnosis 181
Incorporating spatial autocorrelation in rarefaction methods: implications for ecologists and conservation biologists 177
Computational Issues and R Packages for Spatial Data Analysis 176
Quantitative Methods in Environmental and Climate Research 175
Impact of SARS-CoV-2 pandemic on colorectal cancer screening delay: effect on stage shift and increased mortality 160
Comparing Methods to Collect and Geolocate Tweets in Great Britain 137
Disentangling native and alien plant diversity in coastal sand dune ecosystems worldwide 131
Comparison of approaches to interpolating climate observations in steep terrain with low-density gauging networks 128
Changes in digestive cancer diagnosis during the SARS-CoV-2 pandemic in Italy: A nationwide survey 126
Software for Bayesian Statistics 126
Spatio-temporal modelling of PM10 daily concentrations in Italy using the SPDE approach 124
Dictionary-based Classification of Tweets About Environment 113
AGRIMONIA: Open Access dataset correlating livestock and air quality in the Lombardy region, Italy 110
Chromoendoscopy is not superior to white light endoscopy in improving adenoma detection in Lynch Syndrome cohort undergoing surveillance with high-resolution colonoscopy: a real-world evidence study 99
Impact of Tweets Pre-processing Techniques on a Dictionary for Environment 99
Ammonia emissions and fine particulate matter: some evidence in Lombardy 92
A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown 87
Regional excess mortality during the 2020 COVID-19 pandemic in five European countries 85
Missing data analysis and imputation via latent Gaussian Markov random fields 84
Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy 83
A Workflow for Estimating and Visualising Excess Mortality During the COVID-19 Pandemic 76
Interpolating climate variables by using INLA and the SPDE approach 64
Spatial Multivariate GARCH Models and Financial Spillovers 57
Erratum to "Spatial and spatio-temporal models with R-INLA" [Spat Spatio-tempor Epidemiol 4 (2013) 33-49] 52
Spatiotemporal modelling of PM2.5 concentrations in Lombardy (Italy): a comparative study 29
Totale 26.564
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Categoria #
all - tutte 57.113
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 57.113
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20202.036 0 0 0 447 227 186 247 126 300 152 162 189
2020/20214.028 342 309 192 291 283 388 438 180 496 474 436 199
2021/20222.371 164 263 191 187 212 325 110 108 173 216 253 169
2022/20231.691 275 199 207 244 140 236 35 69 152 38 61 35
2023/20243.670 61 74 99 80 152 742 2.129 110 55 16 20 132
2024/2025682 110 233 204 135 0 0 0 0 0 0 0 0
Totale 26.564