Matteo Camilli

616 total citations
39 papers, 225 citations indexed

About

Matteo Camilli is a scholar working on Computer Networks and Communications, Artificial Intelligence and Software. According to data from OpenAlex, Matteo Camilli has authored 39 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 20 papers in Artificial Intelligence and 16 papers in Software. Recurrent topics in Matteo Camilli's work include Software System Performance and Reliability (18 papers), Software Reliability and Analysis Research (15 papers) and Advanced Software Engineering Methodologies (13 papers). Matteo Camilli is often cited by papers focused on Software System Performance and Reliability (18 papers), Software Reliability and Analysis Research (15 papers) and Advanced Software Engineering Methodologies (13 papers). Matteo Camilli collaborates with scholars based in Italy, Germany and Sweden. Matteo Camilli's co-authors include Patrizia Scandurra, Angelo Gargantini, Barbara Russo, Lorenzo Capra, Raffaela Mirandola, Carlo Bellettini, Andrea Janes, Catia Trubiani, Mattia Monga and Eugenio Zimeo and has published in prestigious journals such as Computer, Journal of Systems and Software and Empirical Software Engineering.

In The Last Decade

Matteo Camilli

33 papers receiving 222 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matteo Camilli 121 98 77 74 59 39 225
Robert S. Hanmer 127 1.0× 106 1.1× 119 1.5× 79 1.1× 31 0.5× 24 262
S. Roach 105 0.9× 125 1.3× 101 1.3× 110 1.5× 62 1.1× 13 258
Ingrid Chieh Yu 75 0.6× 165 1.7× 102 1.3× 68 0.9× 55 0.9× 32 239
Frédéric Lang 66 0.5× 126 1.3× 47 0.6× 107 1.4× 169 2.9× 22 274
José Proença 88 0.7× 147 1.5× 81 1.1× 92 1.2× 85 1.4× 35 243
Amel Mammar 149 1.2× 138 1.4× 113 1.5× 83 1.1× 70 1.2× 31 296
Wendelin Serwe 67 0.6× 84 0.9× 34 0.4× 75 1.0× 143 2.4× 21 236
Cristina Gacek 95 0.8× 118 1.2× 111 1.4× 54 0.7× 15 0.3× 21 201
Mark‐Oliver Reiser 43 0.4× 173 1.8× 145 1.9× 106 1.4× 41 0.7× 28 257
Nicholas Matragkas 48 0.4× 113 1.2× 114 1.5× 145 2.0× 16 0.3× 25 224

Countries citing papers authored by Matteo Camilli

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Camilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Camilli

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Camilli. A scholar is included among the top collaborators of Matteo Camilli 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 Matteo Camilli. Matteo Camilli 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.
Avritzer, Alberto, Andrea Janes, Andrea Marin, et al.. (2025). Software Aging Detection and Rejuvenation Assessment in Heterogeneous Virtual Networks. IEEE Transactions on Emerging Topics in Computing. 13(2). 299–313.
2.
Camilli, Matteo, Raffaela Mirandola, & Patrizia Scandurra. (2025). Many-objective Self-adaptation under Model Uncertainty. ACM Transactions on Autonomous and Adaptive Systems. 20(2). 1–28.
3.
Baresi, Luciano, et al.. (2024). A Conceptual Framework for Quality Assurance of LLM-based Socio-critical Systems. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 2314–2318. 2 indexed citations
4.
Avritzer, Alberto, et al.. (2024). Dependability Modeling in an Industrial Environment. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 43–48.
5.
Camilli, Matteo & Raffaela Mirandola. (2024). Multi-requirement Parametric Falsification. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 348–349.
6.
Camilli, Matteo, et al.. (2024). RAMSES: An Artifact Exemplar for Engineering Self-Adaptive Microservice Applications. Aisberg (University of Bergamo). 161–167.
7.
Fontana, Francesca Arcelli, et al.. (2023). Impact of Architectural Smells on Software Performance: an Exploratory Study. BOA (University of Milano-Bicocca). 22–31. 2 indexed citations
8.
Bersani, Marcello M., et al.. (2023). Towards Better Trust in Human-Machine Teaming through Explainable Dependability. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 86–90. 3 indexed citations
9.
Camilli, Matteo, et al.. (2023). Actor-Driven Decomposition of Microservices through Multi-level Scalability Assessment. ACM Transactions on Software Engineering and Methodology. 32(5). 1–46. 12 indexed citations
10.
Bersani, Marcello M., et al.. (2023). A Conceptual Framework for Explainability Requirements in Software-Intensive Systems. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 309–315.
11.
Avritzer, Alberto, Andrea Janes, Andrea Marin, et al.. (2023). Assessment of Aging and Rejuvenation for Resiliency in Heterogeneous Network Clusters. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 198–205. 1 indexed citations
12.
Camilli, Matteo & Barbara Russo. (2022). Modeling Performance of Microservices Systems with Growth Theory. Empirical Software Engineering. 27(2). 39–39. 11 indexed citations
13.
Camilli, Matteo, Michael Felderer, Andrea Giusti, et al.. (2022). Collaborative Artificial Intelligence Needs Stronger Assurances Driven by Risks. Computer. 55(3). 52–63. 4 indexed citations
14.
Camilli, Matteo, Raffaela Mirandola, & Patrizia Scandurra. (2022). XSA: eXplainable Self-Adaptation. Aisberg (University of Bergamo). 1–5. 8 indexed citations
15.
Camilli, Matteo, Raffaela Mirandola, & Patrizia Scandurra. (2022). Taming model uncertainty in self-adaptive systems using bayesian model averaging. Aisberg (University of Bergamo). 25–35. 7 indexed citations
16.
Camilli, Matteo & Lorenzo Capra. (2021). Formal specification and verification of decentralized self-adaptive systems using symmetric nets. Discrete Event Dynamic Systems. 31(4). 609–657. 6 indexed citations
17.
Camilli, Matteo, Angelo Gargantini, & Patrizia Scandurra. (2018). Zone-based formal specification and timing analysis of real-time self-adaptive systems. Science of Computer Programming. 159. 28–57. 10 indexed citations
18.
Capra, Lorenzo & Matteo Camilli. (2018). Towards Evolving Petri Nets: a Symmetric Nets-based Framework. IFAC-PapersOnLine. 51(7). 480–485. 7 indexed citations
19.
Bellettini, Carlo, Matteo Camilli, Lorenzo Capra, & Mattia Monga. (2015). Distributed CTL model checking using MapReduce: theory and practice. Concurrency and Computation Practice and Experience. 28(11). 3025–3041. 7 indexed citations
20.
Camilli, Matteo. (2012). Petri nets state space analysis in the cloud. International Conference on Software Engineering. 1638–1640. 5 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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