Antonio Pievatolo

1.3k total citations
50 papers, 864 citations indexed

About

Antonio Pievatolo is a scholar working on Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Antonio Pievatolo has authored 50 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Safety, Risk, Reliability and Quality, 11 papers in Electrical and Electronic Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Antonio Pievatolo's work include Reliability and Maintenance Optimization (9 papers), Power System Reliability and Maintenance (6 papers) and Bayesian Methods and Mixture Models (5 papers). Antonio Pievatolo is often cited by papers focused on Reliability and Maintenance Optimization (9 papers), Power System Reliability and Maintenance (6 papers) and Bayesian Methods and Mixture Models (5 papers). Antonio Pievatolo collaborates with scholars based in Italy, Germany and United States. Antonio Pievatolo's co-authors include E. Tironi, Rainer Göb, Sajid Ali, R. Faranda, Fabrizio Ruggeri, Xavier Tort‐Martorell, Marco S. Reis, Giuseppe Manco, Shirley Coleman and Raffaele Argiento and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and IEEE Transactions on Power Systems.

In The Last Decade

Antonio Pievatolo

48 papers receiving 836 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Antonio Pievatolo Italy 15 243 216 204 144 125 50 864
V. Ebrahimipour Iran 17 134 0.6× 288 1.3× 203 1.0× 42 0.3× 204 1.6× 38 1.1k
Weijun Xie United States 16 243 1.0× 113 0.5× 281 1.4× 89 0.6× 39 0.3× 59 965
Indra Gunawan Australia 17 110 0.5× 121 0.6× 85 0.4× 27 0.2× 169 1.4× 84 806
F. Choobineh United States 19 273 1.1× 115 0.5× 266 1.3× 221 1.5× 46 0.4× 67 1.3k
Charles E. Ebeling United States 3 90 0.4× 281 1.3× 127 0.6× 87 0.6× 436 3.5× 7 937
James T. Luxhøj United States 15 64 0.3× 275 1.3× 96 0.5× 44 0.3× 175 1.4× 92 852
Ahmad M. Alshamrani Saudi Arabia 14 138 0.6× 49 0.2× 91 0.4× 128 0.9× 39 0.3× 94 825
Laxminarayan Sahoo India 13 50 0.2× 109 0.5× 120 0.6× 100 0.7× 125 1.0× 36 557
Adel Fahad Alrasheedi Saudi Arabia 17 212 0.9× 43 0.2× 186 0.9× 77 0.5× 23 0.2× 106 920
W.J. Kolarik United States 12 42 0.2× 156 0.7× 119 0.6× 102 0.7× 263 2.1× 30 724

Countries citing papers authored by Antonio Pievatolo

Since Specialization
Citations

This map shows the geographic impact of Antonio Pievatolo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antonio Pievatolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Pievatolo more than expected).

Fields of papers citing papers by Antonio Pievatolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Pievatolo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antonio Pievatolo. The network helps show where Antonio Pievatolo may publish in the future.

Co-authorship network of co-authors of Antonio Pievatolo

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Pievatolo. A scholar is included among the top collaborators of Antonio Pievatolo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Antonio Pievatolo. Antonio Pievatolo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mondini, Alessandro, Fausto Guzzetti, Massimo Melillo, & Antonio Pievatolo. (2025). Short to long term space-time prediction of rain-induced landslides under uncertainty. The Science of The Total Environment. 984. 179453–179453.
2.
3.
Bodini, Antonella, Sara Pasquali, Antonio Pievatolo, & Fabrizio Ruggeri. (2021). Underdetection in a stochastic SIR model for the analysis of the COVID-19 Italian epidemic. Stochastic Environmental Research and Risk Assessment. 36(1). 137–155. 11 indexed citations
4.
Lepore, Antonio, Biagio Palumbo, & Antonio Pievatolo. (2020). A Bayesian approach for site-specific wind rose prediction. Renewable Energy. 150. 691–702. 2 indexed citations
5.
Pievatolo, Antonio, David Rı́os Insua, & Simon Wilson. (2019). Special issue of ASMBI for GDDR 2017. Applied Stochastic Models in Business and Industry. 35(3). 398–398. 1 indexed citations
6.
Pievatolo, Antonio, et al.. (2018). A comminution model with homogeneity and multiplication assumptions for the Waste Electrical and Electronic Equipment recycling industry. Journal of Cleaner Production. 211. 665–678. 10 indexed citations
7.
Borrotti, Matteo, et al.. (2017). Defect minimization and feature control in electrospinning through design of experiments. Journal of Applied Polymer Science. 134(17). 11 indexed citations
8.
Ali, Sajid & Antonio Pievatolo. (2016). High quality process monitoring using a class of inter-arrival time distributions of the renewal process. Computers & Industrial Engineering. 94. 45–62. 32 indexed citations
9.
Ali, Sajid, Antonio Pievatolo, & Rainer Göb. (2016). An Overview of Control Charts for High‐quality Processes. Quality and Reliability Engineering International. 32(7). 2171–2189. 108 indexed citations
10.
Coleman, Shirley, Rainer Göb, Giuseppe Manco, et al.. (2016). How Can SMEs Benefit from Big Data? Challenges and a Path Forward. Quality and Reliability Engineering International. 32(6). 2151–2164. 150 indexed citations
11.
Göb, Rainer, et al.. (2014). More Accurate Prediction Intervals for Exponential Smoothing with Covariates with Applications in Electrical Load Forecasting and Sales Forecasting. Quality and Reliability Engineering International. 31(4). 669–682. 8 indexed citations
12.
Argiento, Raffaele, Alessandra Guglielmi, & Antonio Pievatolo. (2013). Estimation, prediction and interpretation of NGG random effects models: an application to Kevlar fibre failure times. Statistical Papers. 55(3). 805–826. 2 indexed citations
13.
Pievatolo, Antonio, Fabrizio Ruggeri, & Refik Soyer. (2012). A Bayesian hidden Markov model for imperfect debugging. Reliability Engineering & System Safety. 103. 11–21. 33 indexed citations
14.
Argiento, Raffaele, Alessandra Guglielmi, & Antonio Pievatolo. (2009). A comparison of nonparametric priors in hierarchical mixture modelling for AFT regression. Journal of Statistical Planning and Inference. 139(12). 3989–4005. 4 indexed citations
15.
Pievatolo, Antonio. (2007). The Downtime Distribution After a Failure of a System with Multistate Independent Components. Journal of Applied Probability. 44(4). 1068–1077. 1 indexed citations
16.
Faranda, R., Antonio Pievatolo, & E. Tironi. (2007). Load Shedding: A New Proposal. IEEE Transactions on Power Systems. 22(4). 2086–2093. 106 indexed citations
17.
Pievatolo, Antonio. (2007). The Downtime Distribution After a Failure of a System with Multistate Independent Components. Journal of Applied Probability. 44(4). 1068–1077. 1 indexed citations
18.
Pievatolo, Antonio & Fabrizio Ruggeri. (2004). Bayesian reliability analysis of complex repairable systems: Research Articles. Journal of Immunology Research. 20(3). 253–264. 11 indexed citations
19.
Pievatolo, Antonio, et al.. (2004). UPQC reliability analysis. 1. 390–397. 3 indexed citations
20.
Pievatolo, Antonio, et al.. (2000). The analysis of ruptures in metropolitan gas pipelines. Quality and Reliability Engineering International. 16(1). 17–22. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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