Lucio Compagno

560 total citations
21 papers, 430 citations indexed

About

Lucio Compagno is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Software. According to data from OpenAlex, Lucio Compagno has authored 21 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Safety, Risk, Reliability and Quality, 11 papers in Statistics, Probability and Uncertainty and 10 papers in Software. Recurrent topics in Lucio Compagno's work include Reliability and Maintenance Optimization (13 papers), Risk and Safety Analysis (11 papers) and Software Reliability and Analysis Research (10 papers). Lucio Compagno is often cited by papers focused on Reliability and Maintenance Optimization (13 papers), Risk and Safety Analysis (11 papers) and Software Reliability and Analysis Research (10 papers). Lucio Compagno collaborates with scholars based in Italy, Norway and United Kingdom. Lucio Compagno's co-authors include Diego D’Urso, Ferdınando Chıacchıo, Giorgio Manno, Jose Ignacio Aizpurua, Francesco Pappalardo, Marzio Pennisi, Carmela Di Mauro, Philipp Sandner, Carlo Ingrao and Antonio Forcina and has published in prestigious journals such as Expert Systems with Applications, Reliability Engineering & System Safety and Computers & Industrial Engineering.

In The Last Decade

Lucio Compagno

21 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lucio Compagno Italy 13 226 214 167 76 37 21 430
Mohamed Sallak France 14 289 1.3× 225 1.1× 96 0.6× 79 1.0× 55 1.5× 48 501
S. Carlos Spain 15 374 1.7× 423 2.0× 175 1.0× 121 1.6× 25 0.7× 37 796
A. H. S. Garmabaki Sweden 13 76 0.3× 137 0.6× 68 0.4× 31 0.4× 16 0.4× 40 426
Darren Prescott United Kingdom 12 117 0.5× 167 0.8× 59 0.4× 64 0.8× 6 0.2× 35 427
Bram de Jonge Netherlands 13 272 1.2× 785 3.7× 353 2.1× 217 2.9× 17 0.5× 18 994
Jezdimir Knežević United Kingdom 13 149 0.7× 324 1.5× 95 0.6× 105 1.4× 10 0.3× 41 537
José Espiritu United States 8 87 0.4× 145 0.7× 55 0.3× 45 0.6× 4 0.1× 30 355
Kelly M. Sullivan United States 12 57 0.3× 86 0.4× 41 0.2× 64 0.8× 8 0.2× 25 344
Marie‐Christine Suhner France 7 60 0.3× 100 0.5× 45 0.3× 126 1.7× 8 0.2× 15 294

Countries citing papers authored by Lucio Compagno

Since Specialization
Citations

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

Fields of papers citing papers by Lucio Compagno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucio Compagno

This figure shows the co-authorship network connecting the top 25 collaborators of Lucio Compagno. A scholar is included among the top collaborators of Lucio Compagno 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 Lucio Compagno. Lucio Compagno 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.
D’Urso, Diego, et al.. (2022). Assessment of the optimal preventive maintenance period using stochastic hybrid modelling. Procedia Computer Science. 200. 1664–1673. 5 indexed citations
2.
D’Urso, Diego, et al.. (2021). Dynamic failure rate model of an electric motor comparing the Military Standard and Svenska Kullagerfabriken (SKF) methods. Procedia Computer Science. 180. 456–465. 6 indexed citations
3.
Chıacchıo, Ferdınando, et al.. (2020). A general framework for dependability modelling coupling discrete-event and time-driven simulation. Reliability Engineering & System Safety. 199. 106904–106904. 24 indexed citations
4.
Chıacchıo, Ferdınando, et al.. (2020). An RFID application for the process mapping automation. Procedia Manufacturing. 42. 8–15. 10 indexed citations
5.
Chıacchıo, Ferdınando, Jose Ignacio Aizpurua, Lucio Compagno, & Diego D’Urso. (2019). SHyFTOO, an object-oriented Monte Carlo simulation library for the modeling of Stochastic Hybrid Fault Tree Automaton. Expert Systems with Applications. 146. 113139–113139. 24 indexed citations
6.
7.
Compagno, Lucio, et al.. (2018). A DECISION SUPPORT TOOL FOR BUSINESS MODEL ANALYSIS. International Journal of the Analytic Hierarchy Process. 10(2). 3 indexed citations
8.
Chıacchıo, Ferdınando, et al.. (2018). Performance assessment of domestic photovoltaic power plant with a storage system. IFAC-PapersOnLine. 51(11). 746–751. 6 indexed citations
9.
D’Urso, Diego, Carmela Di Mauro, Ferdınando Chıacchıo, & Lucio Compagno. (2017). A behavioural analysis of the newsvendor game: Anchoring and adjustment with and without demand information. Computers & Industrial Engineering. 111. 552–562. 18 indexed citations
10.
Chıacchıo, Ferdınando, Jose Ignacio Aizpurua, Diego D’Urso, & Lucio Compagno. (2017). Coherence region of the Priority‐AND gate: Analytical and numerical examples. Quality and Reliability Engineering International. 34(1). 107–115. 15 indexed citations
11.
Compagno, Lucio, et al.. (2016). Failure Prevention Through Performance Evaluation of Reliability Components in Working Condition. Journal of Failure Analysis and Prevention. 16(6). 1092–1100. 6 indexed citations
12.
Chıacchıo, Ferdınando, Diego D’Urso, Giorgio Manno, & Lucio Compagno. (2015). Stochastic hybrid automaton model of a multi-state system with aging: Reliability assessment and design consequences. Reliability Engineering & System Safety. 149. 1–13. 25 indexed citations
13.
Chıacchıo, Ferdınando, et al.. (2015). SHyFTA, a Stochastic Hybrid Fault Tree Automaton for the modelling and simulation of dynamic reliability problems. Expert Systems with Applications. 47. 42–57. 43 indexed citations
14.
Compagno, Lucio, et al.. (2014). Life cycle assessment of CRT lead recovery process. International Journal of Product Lifecycle Management. 7(2/3). 201–201. 11 indexed citations
15.
Compagno, Lucio, et al.. (2013). The Value-Analytic Hierarchy Process: a Lean Multi Criteria Decision Support Method. IFAC Proceedings Volumes. 46(9). 875–880. 3 indexed citations
16.
Manno, Giorgio, et al.. (2013). Conception of Repairable Dynamic Fault Trees and resolution by the use of RAATSS, a Matlab® toolbox based on the ATS formalism. Reliability Engineering & System Safety. 121. 250–262. 36 indexed citations
17.
Chıacchıo, Ferdınando, et al.. (2012). A Weibull-based compositional approach for hierarchical dynamic fault trees. Reliability Engineering & System Safety. 109. 45–52. 40 indexed citations
18.
Chıacchıo, Ferdınando, et al.. (2011). Dynamic fault trees resolution: A conscious trade-off between analytical and simulative approaches. Reliability Engineering & System Safety. 96(11). 1515–1526. 44 indexed citations
19.
Chıacchıo, Ferdınando, et al.. (2011). MatCarloRe: An integrated FT and Monte Carlo Simulink tool for the reliability assessment of dynamic fault tree. Expert Systems with Applications. 39(12). 10334–10342. 59 indexed citations
20.
Chıacchıo, Ferdınando, et al.. (2011). An open-source application to model and solve dynamic fault tree of real industrial systems. 1–8. 20 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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