| Spatial and spatio-temporal Bayesian models with R-INLA M Blangiardo, M Cameletti John Wiley & Sons, 2015 | 977 | 2015 |
| Spatial and Spatio-Temporal models with R-INLA M Blangiardo, M Cameletti, G Baio, H Rue Spatial and Spatio-temporal Epidemiology, 2013 | 672 | 2013 |
| Spatio-temporal modeling of particulate matter concentration through the SPDE approach M Cameletti, F Lindgren, D Simpson, H Rue AStA Advances in Statistical Analysis, 1-23, 2011 | 415 | 2011 |
| Impact of SARS-CoV-2 pandemic on colorectal cancer screening delay: effect on stage shift and increased mortality L Ricciardiello, C Ferrari, M Cameletti, F Gaianill, F Buttitta, F Bazzoli, ... Clinical Gastroenterology and Hepatology 19 (7), 1410-1417. e9, 2021 | 121 | 2021 |
| Comparing spatio‐temporal models for particulate matter in Piemonte M Cameletti, R Ignaccolo, S Bande Environmetrics, 2011 | 115 | 2011 |
| Species distribution modeling: a statistical review with focus in spatio-temporal issues J Martínez-Minaya, M Cameletti, D Conesa, MG Pennino Stochastic environmental research and risk assessment 32, 3227-3244, 2018 | 110 | 2018 |
| Regional excess mortality during the 2020 COVID-19 pandemic in five European countries G Konstantinoudis, M Cameletti, V Gómez-Rubio, IL Gómez, M Pirani, ... Nature communications 13 (1), 482, 2022 | 108 | 2022 |
| Estimating weekly excess mortality at sub-national level in Italy during the COVID-19 pandemic M Blangiardo, M Cameletti, M Pirani, G Corsetti, M Battaglini, G Baio PloS one 15 (10), e0240286, 2020 | 104 | 2020 |
| The effect of corona virus lockdown on air pollution: Evidence from the city of Brescia in Lombardia region (Italy) M Cameletti Atmospheric Environment 239, 117794, 2020 | 88 | 2020 |
| Air quality monitoring using heterogeneous networks A Fasso, M Cameletti, O Nicolis Environmetrics 18 (3), 245-264, 2007 | 56 | 2007 |
| Two-stage Bayesian model to evaluate the effect of air pollution on chronic respiratory diseases using drug prescriptions M Blangiardo, F Finazzi, M Cameletti Spatial and spatio-temporal epidemiology 18, 1-12, 2016 | 46 | 2016 |
| Bayesian modelling for spatially misaligned health and air pollution data through the INLA-SPDE approach M Cameletti, V Gómez-Rubio, M Blangiardo Spatial Statistics 31, 100353, 2019 | 39 | 2019 |
| The EM algorithm in a distributed computing environment for modelling environmental space-time data A Fassņ, M Cameletti Environmental Modelling & Software 24 (9), 1027-1035, 2009 | 38 | 2009 |
| A unified statistical approach for simulation, modeling, analysis and mapping of environmental data A Fassò, M Cameletti Simulation 86 (3), 139-153, 2010 | 36 | 2010 |
| Changes in digestive cancer diagnosis during the SARS-CoV-2 pandemic in Italy: a nationwide survey E Buscarini, A Benedetti, F Monica, L Pasquale, F Buttitta, M Cameletti, ... Digestive and Liver Disease 53 (6), 682-688, 2021 | 32 | 2021 |
| Comparing methods to collect and geolocate tweets in Great Britain S Schlosser, D Toninelli, M Cameletti Journal of Open Innovation: Technology, Market, and Complexity 7 (1), 44, 2021 | 30 | 2021 |
| Comparing air quality in Italy, Germany and Poland using BC indexes O Bodnar, M Cameletti, A Fassņ, W Schmid Atmospheric Environment 42 (36), 8412-8421, 2008 | 30 | 2008 |
| Incorporating spatial autocorrelation in rarefaction methods: Implications for ecologists and conservation biologists G Bacaro, A Altobelli, M Cameletti, D Ciccarelli, S Martellos, MW Palmer, ... Ecological Indicators 69, 233-238, 2016 | 26 | 2016 |
| Disentangling native and alien plant diversity in coastal sand dune ecosystems worldwide E Tordoni, G Bacaro, P Weigelt, M Cameletti, JAM Janssen, ATR Acosta, ... Journal of Vegetation Science 32 (1), e12861, 2021 | 23 | 2021 |
| A joint Bayesian space–time model to integrate spatially misaligned air pollution data in R‐INLA C Forlani, S Bhatt, M Cameletti, E Krainski, M Blangiardo Environmetrics 31 (8), e2644, 2020 | 23 | 2020 |
Marta BlangiardoProfessor of Biostatistics, MRC Centre for Environment and Health, Imperial College在 imperial.ac.uk 的电子邮件经过验证
