Leonardo Montecchi

405 total citations
50 papers, 209 citations indexed

About

Leonardo Montecchi is a scholar working on Software, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Leonardo Montecchi has authored 50 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Software, 17 papers in Computer Networks and Communications and 16 papers in Artificial Intelligence. Recurrent topics in Leonardo Montecchi's work include Software Reliability and Analysis Research (17 papers), Safety Systems Engineering in Autonomy (10 papers) and Advanced Software Engineering Methodologies (9 papers). Leonardo Montecchi is often cited by papers focused on Software Reliability and Analysis Research (17 papers), Safety Systems Engineering in Autonomy (10 papers) and Advanced Software Engineering Methodologies (9 papers). Leonardo Montecchi collaborates with scholars based in Italy, Brazil and Norway. Leonardo Montecchi's co-authors include Andrea Bondavalli, Paolo Lollini, Andrea Ceccarelli, Francesco Brancati, Regina Moraes, Iván Mura, Mário Jino, Barbara Gallina, Cecília M. F. Rubira and Marco Mori and has published in prestigious journals such as IEEE Access, Reliability Engineering & System Safety and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Leonardo Montecchi

42 papers receiving 199 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonardo Montecchi Italy 9 78 75 72 57 38 50 209
Jun Ai China 10 119 1.5× 197 2.6× 177 2.5× 68 1.2× 33 0.9× 61 338
Pierre Bieber France 11 92 1.2× 84 1.1× 93 1.3× 135 2.4× 78 2.1× 28 312
Paulo Romero Martins Maciel Brazil 11 210 2.7× 142 1.9× 46 0.6× 27 0.5× 18 0.5× 46 317
Stylianos Basagiannis Greece 10 122 1.6× 59 0.8× 38 0.5× 88 1.5× 18 0.5× 29 271
Elke Pulvermueller Germany 8 33 0.4× 54 0.7× 66 0.9× 69 1.2× 12 0.3× 43 186
Brian Larson United States 9 104 1.3× 98 1.3× 50 0.7× 96 1.7× 42 1.1× 17 289
Elisabeth A. Strunk United States 8 99 1.3× 82 1.1× 92 1.3× 80 1.4× 74 1.9× 14 266
Xia Cai China 9 61 0.8× 147 2.0× 171 2.4× 43 0.8× 65 1.7× 18 274
Julien Delange United States 9 37 0.5× 53 0.7× 118 1.6× 87 1.5× 82 2.2× 28 240
Claudio Menghi Italy 12 67 0.9× 95 1.3× 172 2.4× 171 3.0× 37 1.0× 51 365

Countries citing papers authored by Leonardo Montecchi

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Montecchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Montecchi

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Montecchi. A scholar is included among the top collaborators of Leonardo Montecchi 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 Montecchi. Leonardo Montecchi 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.
Zoppi, Tommaso, et al.. (2024). Fail-Controlled Classifiers: Do they Know when they don’t Know?. Florence Research (University of Florence). 43–54.
2.
Montecchi, Leonardo, et al.. (2023). A Model-Driven Approach for the Management and Enforcement of Coding Conventions. IEEE Access. 11. 25735–25754.
3.
Bondavalli, Andrea, et al.. (2023). An extension of the ADVISE Meta modeling framework and its application for an early-stage security analysis of a public transport supervision system. Journal of Reliable Intelligent Environments. 9(3). 263–281. 1 indexed citations
4.
Montecchi, Leonardo, et al.. (2022). Extending a security ontology framework to model CAPEC attack paths and TAL adversary profiles. Florence Research (University of Florence). 25–32. 3 indexed citations
5.
Montecchi, Leonardo, Paolo Lollini, & Andrea Bondavalli. (2021). Stochastic Activity Networks Templates: Supporting Variability in Performability Models. IEEE Transactions on Reliability. 71(2). 640–656. 1 indexed citations
6.
Montecchi, Leonardo, Paolo Lollini, & Andrea Bondavalli. (2019). A Template-Based Methodology for the Specification and Automated Composition of Performability Models. IEEE Transactions on Reliability. 69(1). 293–309. 10 indexed citations
7.
Laranjeiro, Nuno, et al.. (2019). Addressing Verification and Validation Challenges in Future Cyber-Physical Systems. Florence Research (University of Florence). 1–2. 1 indexed citations
8.
Montecchi, Leonardo, et al.. (2019). Exploiting MDE for Platform-Independent Testing of Service Orchestrations. Florence Research (University of Florence). 149–152. 1 indexed citations
9.
Montecchi, Leonardo, Paolo Lollini, & Andrea Ceccarelli. (2017). Assessing the Impact of Cascading Failures in Urban Electricity Networks. Florence Research (University of Florence). 324–329. 1 indexed citations
10.
Martins, Eliane, et al.. (2016). D-MBTDD: An Approach for Reusing Test Artefacts in Evolving System. Florence Research (University of Florence). 2 indexed citations
11.
Bondavalli, Andrea, et al.. (2016). Combining SAN and P-Graphs for the Analysis and Optimization of Industrial Processes. Florence Research (University of Florence). 197–207. 2 indexed citations
12.
Montecchi, Leonardo, et al.. (2015). Model-based Evaluation of Scalability and Security Tradeoffs: a Case Study on a Multi-Service Platform. Electronic Notes in Theoretical Computer Science. 310. 113–133. 7 indexed citations
13.
Montecchi, Leonardo, et al.. (2015). Towards a UML Profile for Privacy-Aware Applications. Florence Research (University of Florence). 11 indexed citations
14.
Montecchi, Leonardo, et al.. (2015). Executable Models to Support Automated Software FMEA. Florence Research (University of Florence). 16. 189–196. 11 indexed citations
15.
Montecchi, Leonardo, Paolo Lollini, & Andrea Bondavalli. (2014). A Reusable Modular Toolchain for Automated Dependability Evaluation. Florence Research (University of Florence). 7 indexed citations
16.
Ceccarelli, Andrea, et al.. (2014). Continuous and Transparent User Identity Verification for Secure Internet Services. IEEE Transactions on Dependable and Secure Computing. 12(3). 270–283. 24 indexed citations
17.
Montecchi, Leonardo, et al.. (2013). Understanding the quality of experience in modern distributed interactive multimedia applications in presence of failures. Florence Research (University of Florence). 439–446. 2 indexed citations
18.
Montecchi, Leonardo, Paolo Lollini, & Andrea Bondavalli. (2011). Towards a MDE Transformation Workflow for Dependability Analysis. Florence Research (University of Florence). 157–166. 13 indexed citations
19.
Bondavalli, Andrea, Paolo Lollini, & Leonardo Montecchi. (2009). QoS Perceived by Users of Ubiquitous UMTS: Compositional Models and Thorough Analysis. Journal of Software. 4(7). 10 indexed citations
20.
Lollini, Paolo, et al.. (2008). Analysis of the impact of communication protocols on service quality in ERTMS automatic train control systems.. Florence Research (University of Florence). 1 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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