Leonardo Leoni

529 total citations
31 papers, 352 citations indexed

About

Leonardo Leoni is a scholar working on Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Mechanical Engineering. According to data from OpenAlex, Leonardo Leoni has authored 31 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics, Probability and Uncertainty, 10 papers in Safety, Risk, Reliability and Quality and 9 papers in Mechanical Engineering. Recurrent topics in Leonardo Leoni's work include Risk and Safety Analysis (11 papers), Reliability and Maintenance Optimization (7 papers) and Structural Integrity and Reliability Analysis (6 papers). Leonardo Leoni is often cited by papers focused on Risk and Safety Analysis (11 papers), Reliability and Maintenance Optimization (7 papers) and Structural Integrity and Reliability Analysis (6 papers). Leonardo Leoni collaborates with scholars based in Italy, Finland and Netherlands. Leonardo Leoni's co-authors include Filippo De Carlo, Ahmad BahooToroody, Nicola Paltrinieri, Alessandra Cantini, Mohammad Mahdi Abaei, Fabio Sgarbossa, Chiara Martini, Mario Tucci, Gianpaolo Di Bona and Antonio Forcina and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and International Journal of Production Economics.

In The Last Decade

Leonardo Leoni

26 papers receiving 346 citations

Peers

Leonardo Leoni
Ayhan Menteş Türkiye
Suprakash Gupta India
Cristina González-Gaya Spain
Miloš Tanasijević Serbia
Jon Tømmerås Selvik Norway
Behzad Ghodrati Sweden
Babakalli Alkali United Kingdom
Kadir Çiçek Türkiye
V. R. Renjith India
Jinduo Xing China
Ayhan Menteş Türkiye
Leonardo Leoni
Citations per year, relative to Leonardo Leoni Leonardo Leoni (= 1×) peers Ayhan Menteş

Countries citing papers authored by Leonardo Leoni

Since Specialization
Citations

This map shows the geographic impact of Leonardo Leoni'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 Leonardo Leoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Leoni more than expected).

Fields of papers citing papers by Leonardo Leoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo Leoni. 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 Leonardo Leoni. The network helps show where Leonardo Leoni may publish in the future.

Co-authorship network of co-authors of Leonardo Leoni

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Leoni. A scholar is included among the top collaborators of Leonardo Leoni 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 Leonardo Leoni. Leonardo Leoni 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.
Leoni, Leonardo, John Andrews, & Filippo De Carlo. (2025). Extending the dynamic and dependent tree theory (D2T2) to safety barriers: An application to an offshore fire deluge system. Journal of Loss Prevention in the Process Industries. 94. 105545–105545.
2.
Leoni, Leonardo, Mirco Peron, & Filippo De Carlo. (2025). Machine learning-based predictive maintenance: empirical insights of challenges and countermeasures. Production Planning & Control. 36(16). 2399–2428.
3.
Cantini, Alessandra, et al.. (2025). Optimising centralisation in distribution networks for perishable products through mathematical modelling, parametric analysis, and machine learning. International Journal of Production Research. 63(17). 6291–6318. 2 indexed citations
4.
Cantini, Alessandra, et al.. (2025). Centralized and decentralized supply chains: Performance maps for comparing the cost-effectiveness of distribution network configurations. Transportation Research Part E Logistics and Transportation Review. 204. 104435–104435.
5.
Leoni, Leonardo, et al.. (2025). Mixed-model and multi-model assembly lines: A systematic literature review on resource management. Journal of Manufacturing Systems. 82. 632–657. 1 indexed citations
6.
Cantini, Alessandra, et al.. (2024). Hydrogen in Glass Sector: A Comparison between Risk-Based Maintenance and Time-Based Maintenance Approaches. IFAC-PapersOnLine. 58(8). 109–114.
7.
Zhao, Guoqing, Xiaoning Chen, Paul Jones, et al.. (2024). Understanding the Drivers of Industry 4.0 Technologies to Enhance Supply Chain Sustainability: Insights from the Agri-Food Industry. Information Systems Frontiers. 27(4). 1619–1649. 6 indexed citations
8.
Leoni, Leonardo, et al.. (2024). MaMoReS: A Robust Tool for Evaluating Supply Chain Resilience Through Systematic Literature and Network Analysis. Applied Sciences. 14(20). 9568–9568. 3 indexed citations
9.
Cantini, Alessandra, et al.. (2024). Exploring remanufacturing conveniency: An economic and energetic assessment for a closed-loop supply chain of a mechanical component. Journal of Cleaner Production. 458. 142504–142504. 5 indexed citations
10.
Leoni, Leonardo, et al.. (2024). Analyzing Forklift and Drone Applications in Sustainable Logistics: A Bibliometric Review. IFAC-PapersOnLine. 58(19). 463–468. 1 indexed citations
11.
Cantini, Alessandra, et al.. (2023). Assessing the adequacy of transportation overall vehicle effectiveness for sustainable road transportation. International Journal of Engineering Business Management. 15. 2 indexed citations
12.
Leoni, Leonardo, et al.. (2023). Trends and Recommendations for Enhancing Maturity Models in Supply Chain Management and Logistics. Applied Sciences. 13(17). 9724–9724. 7 indexed citations
13.
Cantini, Alessandra, et al.. (2023). Sustainable Logistics 4.0: A Study on Selecting the Best Technology for Internal Material Handling. Sustainability. 15(9). 7067–7067. 18 indexed citations
14.
Leoni, Leonardo, Filippo De Carlo, Mohammad Mahdi Abaei, Ahmad BahooToroody, & Mario Tucci. (2023). Failure diagnosis of a compressor subjected to surge events: A data-driven framework. Reliability Engineering & System Safety. 233. 109107–109107. 15 indexed citations
15.
Cantini, Alessandra, et al.. (2022). Technological Energy Efficiency Improvements in Glass-Production Industries and Their Future Perspectives in Italy. Processes. 10(12). 2653–2653. 15 indexed citations
16.
Leoni, Leonardo, Filippo De Carlo, Mohammad Mahdi Abaei, & Ahmad BahooToroody. (2022). A hierarchical Bayesian regression framework for enabling online reliability estimation and condition-based maintenance through accelerated testing. Computers in Industry. 139. 103645–103645. 11 indexed citations
17.
Cantini, Alessandra, et al.. (2021). Technological Energy Efficiency Improvements in Cement Industries. Sustainability. 13(7). 3810–3810. 37 indexed citations
18.
Leoni, Leonardo, et al.. (2021). Energy-Saving Technology Opportunities and Investments of the Italian Foundry Industry. Energies. 14(24). 8470–8470. 11 indexed citations
19.
Leoni, Leonardo, Filippo De Carlo, Fabio Sgarbossa, & Nicola Paltrinieri. (2020). Comparison of risk-based maintenance approaches applied to a natural gas regulating and metering station. SHILAP Revista de lepidopterología. 82. 101–106. 11 indexed citations
20.
Leoni, Leonardo, Ahmad BahooToroody, Filippo De Carlo, & Nicola Paltrinieri. (2018). Developing a risk-based maintenance model for a Natural Gas Regulating and Metering Station using Bayesian Network. Journal of Loss Prevention in the Process Industries. 57. 17–24. 68 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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