| How can SMEs benefit from big data? Challenges and a path forward S Coleman, R Göb, G Manco, A Pievatolo, X Tort‐Martorell, MS Reis Quality and Reliability Engineering International 32 (6), 2151-2164, 2016 | 324 | 2016 |
| Load shedding: A new proposal R Faranda, A Pievatolo, E Tironi IEEE transactions on power systems 22 (4), 2086-2093, 2007 | 212 | 2007 |
| An overview of control charts for high‐quality processes S Ali, A Pievatolo, R Göb Quality and reliability engineering international 32 (7), 2171-2189, 2016 | 136 | 2016 |
| Optimal Storage Scheduling Using Markov Decision Processes S Grillo, A Pievatolo, E Tironi IEEE Transactions on Sustainable Energy 7 (2), 755-764, 2016 | 90 | 2016 |
| Bayesian reliability analysis of complex repairable systems A Pievatolo, F Ruggeri Applied Stochastic Models in Business and Industry 20 (3), 253-264, 2004 | 65 | 2004 |
| Electrical load forecasting by exponential smoothing with covariates R Göb, K Lurz, A Pievatolo Applied Stochastic Models in Business and Industry 29 (6), 629-645, 2013 | 59 | 2013 |
| Bayesian density estimation and model selection using nonparametric hierarchical mixtures R Argiento, A Guglielmi, A Pievatolo Computational Statistics & Data Analysis 54 (4), 816-832, 2010 | 52 | 2010 |
| Probabilitŕ, Statistica e Simulazione, Programmi applicativi scritti con Scilab, 3a edizione A Rotondi, P Pedroni, A Pievatolo Springer, 2012 | 51* | 2012 |
| Semi-Markov processes for power system reliability assessment with application to uninterruptible power supply A Pievatolo, E Tironi, I Valade IEEE Transactions on Power Systems 19 (3), 1326-1333, 2004 | 50 | 2004 |
| A Bayesian hidden Markov model for imperfect debugging A Pievatolo, F Ruggeri, R Soyer Reliability Engineering & System Safety 103, 11-21, 2012 | 45 | 2012 |
| Boundary detection through dynamic polygons A Pievatolo, PJ Green Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1998 | 45 | 1998 |
| Distributed interruptible load shedding and micro-generator dispatching to benefit system operations R Argiento, R Faranda, A Pievatolo, E Tironi IEEE Transactions on Power Systems 27 (2), 840-848, 2011 | 41 | 2011 |
| A statistical approach to electrical storage sizing with application to the recovery of braking energy V Musolino, A Pievatolo, E Tironi Energy 36 (11), 6697-6704, 2011 | 39 | 2011 |
| High quality process monitoring using a class of inter-arrival time distributions of the renewal process S Ali, A Pievatolo Computers & Industrial Engineering 94, 45-62, 2016 | 35 | 2016 |
| Bayesian analysis and prediction of failures in underground trains A Pievatolo, F Ruggeri, R Argiento Quality and Reliability Engineering International 19 (4), 327-336, 2003 | 33 | 2003 |
| Time and magnitude monitoring based on the renewal reward process S Ali, A Pievatolo Reliability Engineering & System Safety 179, 97-107, 2018 | 25 | 2018 |
| Analysing the interevent time distribution to identify seismicity phases: A Bayesian nonparametric approach to the multiple‐changepoint problem A Pievatolo, R Rotondi Journal of the Royal Statistical Society: Series C (Applied Statistics) 49 …, 2000 | 20 | 2000 |
| Defect minimization and feature control in electrospinning through design of experiments M Borrotti, E Lanzarone, F Manganini, S Ortelli, A Pievatolo, C Tonetti Journal of applied polymer science 134 (17), 2017 | 16 | 2017 |
| Bayesian estimation for a parametric Markov Renewal model applied to seismic data I Epifani, L Ladelli, A Pievatolo Electronic Journal of Statistics 8 (2), 2264-2295, 2014 | 16 | 2014 |
| Underdetection in a stochastic SIR model for the analysis of the COVID-19 Italian epidemic A Bodini, S Pasquali, A Pievatolo, F Ruggeri Stochastic Environmental Research and Risk Assessment 36 (1), 137-155, 2022 | 15* | 2022 |
Alberto RotondiPavia UniversityVerified email at pv.infn.it
