Michele Compare

1.6k total citations
58 papers, 1.2k citations indexed

About

Michele Compare is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Control and Systems Engineering. According to data from OpenAlex, Michele Compare has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Safety, Risk, Reliability and Quality, 26 papers in Statistics, Probability and Uncertainty and 25 papers in Control and Systems Engineering. Recurrent topics in Michele Compare's work include Reliability and Maintenance Optimization (27 papers), Risk and Safety Analysis (20 papers) and Machine Fault Diagnosis Techniques (16 papers). Michele Compare is often cited by papers focused on Reliability and Maintenance Optimization (27 papers), Risk and Safety Analysis (20 papers) and Machine Fault Diagnosis Techniques (16 papers). Michele Compare collaborates with scholars based in Italy, France and South Korea. Michele Compare's co-authors include Enrico Zio, Piero Baraldi, Luca Bellani, Alessandro Mancuso, Ahti Salo, Giovanni Sansavini, Tommaso Sacco, Andrea Morotti, E. Rossi and Francesco Di Maio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and European Journal of Operational Research.

In The Last Decade

Michele Compare

58 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Compare Italy 21 494 387 338 152 138 58 1.2k
Yifan Zhou China 21 549 1.1× 311 0.8× 194 0.6× 112 0.7× 82 0.6× 79 1.1k
Khanh T.P. Nguyen France 16 391 0.8× 573 1.5× 146 0.4× 89 0.6× 112 0.8× 57 1.1k
Bo Guo China 22 791 1.6× 414 1.1× 427 1.3× 413 2.7× 269 1.9× 116 1.8k
Mihaela Mitici Netherlands 19 333 0.7× 385 1.0× 138 0.4× 110 0.7× 91 0.7× 47 1.1k
Zhengguo Xu China 18 530 1.1× 633 1.6× 186 0.6× 106 0.7× 49 0.4× 60 1.2k
Jørn Vatn Norway 18 499 1.0× 219 0.6× 484 1.4× 49 0.3× 91 0.7× 64 1.2k
Ramin Moghaddass United States 17 603 1.2× 330 0.9× 208 0.6× 167 1.1× 45 0.3× 37 1.0k
Guanghan Bai China 22 612 1.2× 228 0.6× 471 1.4× 98 0.6× 57 0.4× 62 1.3k
Tieling Zhang Australia 20 344 0.7× 220 0.6× 304 0.9× 282 1.9× 37 0.3× 62 1.2k
A. Srividya India 12 234 0.5× 196 0.5× 292 0.9× 98 0.6× 35 0.3× 71 850

Countries citing papers authored by Michele Compare

Since Specialization
Citations

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

Fields of papers citing papers by Michele Compare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Compare

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Compare. A scholar is included among the top collaborators of Michele Compare 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 Michele Compare. Michele Compare 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.
2.
Compare, Michele, et al.. (2024). Structural causal modeling and STPA for the risk analysis of a rail system powered by H2 fuel. Reliability Engineering & System Safety. 256. 110758–110758. 2 indexed citations
3.
Mancuso, Alessandro, Michele Compare, Ahti Salo, & Enrico Zio. (2021). Optimal Prognostics and Health Management-driven inspection and maintenance strategies for industrial systems. Reliability Engineering & System Safety. 210. 107536–107536. 40 indexed citations
4.
Baraldi, Piero, et al.. (2021). Deep Reinforcement Learning Based on Proximal Policy Optimization for the Maintenance of a Wind Farm with Multiple Crews. Energies. 14(20). 6743–6743. 26 indexed citations
5.
Baraldi, Piero, et al.. (2021). Optimization of the Operation and Maintenance of Renewable Energy Systems by Deep Reinforcement Learning. SSRN Electronic Journal. 1 indexed citations
6.
Bellani, Luca, et al.. (2021). A physics-informed machine learning framework for predictive maintenance applied to turbomachinery assets. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–15. 14 indexed citations
7.
Compare, Michele, et al.. (2020). Partially observable Markov decision processes for optimal operations of gas transmission networks. Reliability Engineering & System Safety. 199. 106893–106893. 20 indexed citations
8.
Compare, Michele, Piero Baraldi, & Enrico Zio. (2019). Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0. IEEE Internet of Things Journal. 7(5). 4585–4597. 195 indexed citations
9.
Bellani, Luca, Michele Compare, Piero Baraldi, & Enrico Zio. (2019). Towards Developing a Novel Framework for Practical PHM: a Sequential Decision Problem solved by Reinforcement Learning and Artificial Neural Networks. International Journal of Prognostics and Health Management. 10(4). 18 indexed citations
10.
Sacco, Tommaso, Michele Compare, Enrico Zio, & Giovanni Sansavini. (2019). Portfolio decision analysis for risk-based maintenance of gas networks. Journal of Loss Prevention in the Process Industries. 60. 269–281. 21 indexed citations
11.
Compare, Michele, et al.. (2018). A Markov decision process framework for optimal operation of monitored multi-state systems. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 232(6). 677–689. 11 indexed citations
12.
13.
Compare, Michele, et al.. (2018). Reinforcement learning-based flow management of gas turbine parts under stochastic failures. The International Journal of Advanced Manufacturing Technology. 99(9-12). 2981–2992. 15 indexed citations
14.
Compare, Michele, et al.. (2017). A fuzzy expectation maximization based method for estimating the parameters of a multi-state degradation model from imprecise maintenance outcomes. Annals of Nuclear Energy. 110. 739–752. 13 indexed citations
15.
Compare, Michele, et al.. (2016). Improving scheduled maintenance by missing data reconstruction: A double-loop Monte Carlo approach. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 230(5). 502–511. 4 indexed citations
16.
Compare, Michele, et al.. (2015). Genetic algorithms for condition-based maintenance optimization under uncertainty. European Journal of Operational Research. 244(2). 611–623. 48 indexed citations
17.
Compare, Michele & Enrico Zio. (2013). Risk Sensitive Particle Filtering in Support of Predictive Maintenance. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Baraldi, Piero, Michele Compare, & Enrico Zio. (2013). Uncertainty analysis in degradation modeling for maintenance policy assessment. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 227(3). 267–278. 11 indexed citations
19.
Baraldi, Piero, et al.. (2012). Fatigue Crack Growth Prognostics by Particle Filtering and Ensemble Neural Networks. PHM Society European Conference. 1(1). 4 indexed citations
20.
Baraldi, Piero, Enrico Zio, & Michele Compare. (2008). Importance measures in presence of uncertainties. 1. 33–39. 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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