| A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions C Magazzino, M Mele, N Schneider Renewable Energy 167, 99-115, 2021 | 288 | 2021 |
| The relationship between air pollution and COVID-19-related deaths: an application to three French cities C Magazzino, M Mele, N Schneider Applied Energy 279, 115835, 2020 | 242 | 2020 |
| Pollution, economic growth, and COVID-19 deaths in India: a machine learning evidence M Mele, C Magazzino Environmental Science and Pollution Research 28, 2669-2677, 2021 | 174 | 2021 |
| A machine learning analysis of the relationship among iron and steel industries, air pollution, and economic growth in China M Mele, C Magazzino Journal of Cleaner Production 277, 123293, 2020 | 166 | 2020 |
| The relationship between municipal solid waste and greenhouse gas emissions: Evidence from Switzerland C Magazzino, M Mele, N Schneider Waste Management 113, 508-520, 2020 | 155 | 2020 |
| Wagner’s Law and Peacock and Wiseman’s displacement effect in European Union countries: A panel data study C Magazzino, L Giolli, M Mele International journal of economics and financial issues 5 (3), 812-819, 2015 | 143 | 2015 |
| Waste generation, wealth and GHG emissions from the waste sector: Is Denmark on the path towards circular economy? C Magazzino, M Mele, N Schneider, SA Sarkodie Science of the Total Environment 755, 142510, 2021 | 134 | 2021 |
| On the relationship between transportation infrastructure and economic development in China C Magazzino, M Mele Research in Transportation Economics 88, 100947, 2021 | 115 | 2021 |
| The nexus between COVID-19 deaths, air pollution and economic growth in New York state: Evidence from Deep Machine Learning C Magazzino, M Mele, SA Sarkodie Journal of Environmental Management 286, 112241, 2021 | 94 | 2021 |
| Nature and climate change effects on economic growth: an LSTM experiment on renewable energy resources M Mele, AR Gurrieri, G Morelli, C Magazzino Environmental Science and Pollution Research 28, 41127-41134, 2021 | 89 | 2021 |
| The relationship between renewable energy and economic growth in a time of Covid-19: a machine learning experiment on the Brazilian economy C Magazzino, M Mele, G Morelli Sustainability 13 (3), 1285, 2021 | 89 | 2021 |
| The determinants of health expenditure in Italian regions C Magazzino, M Mele Magazzino, C., Mele, M.,(2012), The Determinants of Health Expenditure in …, 2012 | 89 | 2012 |
| The nexus between information technology and environmental pollution: Application of a new machine learning algorithm to OECD countries C Magazzino, M Mele, G Morelli, N Schneider Utilities Policy 72, 101256, 2021 | 86 | 2021 |
| Energy consumption and economic growth in Italy: A wavelet analysis C Magazzino, M Mutascu, M Mele, SA Sarkodie Energy Reports 7, 1520-1528, 2021 | 81 | 2021 |
| A D2C algorithm on the natural gas consumption and economic growth: challenges faced by Germany and Japan C Magazzino, M Mele, N Schneider Energy 219, 119586, 2021 | 76 | 2021 |
| Can biomass energy curtail environmental pollution? A quantum model approach to Germany C Magazzino, M Mele, N Schneider, M Shahbaz Journal of Environmental Management 287, 112293, 2021 | 68 | 2021 |
| NO2 levels as a contributing factor to COVID-19 deaths: The first empirical estimate of threshold values M Mele, C Magazzino, N Schneider, V Strezov Environmental research 194, 110663, 2021 | 64 | 2021 |
| A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality C Magazzino, M Mele, M Coccia Epidemiology & Infection 150, e168, 2022 | 57 | 2022 |
| A new artificial neural networks algorithm to analyze the nexus among logistics performance, energy demand, and environmental degradation C Magazzino, M Mele, N Schneider Structural Change and Economic Dynamics 60, 315-328, 2022 | 55 | 2022 |
| A new machine learning algorithm to explore the CO2 emissions-energy use-economic growth trilemma C Magazzino, M Mele Annals of Operations Research, 1-19, 2022 | 54 | 2022 |
Cosimo MagazzinoRoma Tre University, Department of Political Sciences在 uniroma3.it 的电子邮件经过验证
