Raffaela Mirandola

5.8k total citations
145 papers, 2.1k citations indexed

About

Raffaela Mirandola is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Raffaela Mirandola has authored 145 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Computer Networks and Communications, 95 papers in Artificial Intelligence and 87 papers in Information Systems. Recurrent topics in Raffaela Mirandola's work include Advanced Software Engineering Methodologies (88 papers), Software System Performance and Reliability (81 papers) and Service-Oriented Architecture and Web Services (45 papers). Raffaela Mirandola is often cited by papers focused on Advanced Software Engineering Methodologies (88 papers), Software System Performance and Reliability (81 papers) and Service-Oriented Architecture and Web Services (45 papers). Raffaela Mirandola collaborates with scholars based in Italy, Sweden and Spain. Raffaela Mirandola's co-authors include Vincenzo Grassi, Vittorio Cortellessa, Radu Călinescu, Carlo Ghezzi, Diego Pérez-Palacín, Giordano Tamburrelli, Marta Kwiatkowska, Lars Grunske, Antonino Sabetta and Ilenia Epifani and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Software Engineering and Future Generation Computer Systems.

In The Last Decade

Raffaela Mirandola

136 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raffaela Mirandola Italy 21 1.4k 1.3k 1.2k 596 168 145 2.1k
Nelly Bencomo United Kingdom 18 923 0.7× 1.5k 1.1× 1.2k 0.9× 573 1.0× 84 0.5× 99 1.9k
Patrizio Pelliccione Italy 24 609 0.4× 1.1k 0.8× 851 0.7× 677 1.1× 244 1.5× 165 2.0k
Henry Muccini Italy 23 716 0.5× 941 0.7× 993 0.8× 754 1.3× 83 0.5× 144 1.9k
Jean‐Marc Jezéquél France 25 681 0.5× 1.4k 1.0× 1.5k 1.2× 1.2k 2.0× 113 0.7× 141 2.3k
Radu Călinescu United Kingdom 22 706 0.5× 1.0k 0.8× 688 0.6× 528 0.9× 268 1.6× 146 1.9k
Luciano Baresi Italy 28 1.3k 0.9× 1.4k 1.0× 1.9k 1.5× 736 1.2× 290 1.7× 187 2.8k
Ralf Reussner Germany 24 2.0k 1.4× 1.4k 1.1× 1.8k 1.4× 1.1k 1.8× 59 0.4× 195 2.9k
Thorsten Berger Germany 30 991 0.7× 2.3k 1.7× 2.6k 2.1× 971 1.6× 98 0.6× 120 3.2k
Ivano Malavolta Netherlands 26 1.1k 0.8× 927 0.7× 1.4k 1.1× 616 1.0× 51 0.3× 133 2.3k
Lars Grunske Germany 28 1.0k 0.7× 998 0.7× 1.3k 1.0× 1.3k 2.2× 317 1.9× 109 2.4k

Countries citing papers authored by Raffaela Mirandola

Since Specialization
Citations

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

Fields of papers citing papers by Raffaela Mirandola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaela Mirandola

This figure shows the co-authorship network connecting the top 25 collaborators of Raffaela Mirandola. A scholar is included among the top collaborators of Raffaela Mirandola 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 Raffaela Mirandola. Raffaela Mirandola 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.
Pérez-Palacín, Diego, et al.. (2025). Antifragility via Online Learning and Monitoring: An IoT Case Study. Cineca Institutional Research Information System (Tor Vergata University). 54–63.
2.
Weyns, Danny, et al.. (2024). An Architectural Viewpoint for Benefit-Cost-Risk-Aware Decision-Making in Self-Adaptive Systems. ACM Transactions on Autonomous and Adaptive Systems. 20(1). 1–65.
3.
Grassi, Vincenzo, Raffaela Mirandola, & Diego Pérez-Palacín. (2023). Towards a Conceptual Characterization of Antifragile Systems. Cineca Institutional Research Information System (Tor Vergata University). 121–125. 1 indexed citations
4.
Čavrak, Igor, Alessio Bucaioni, & Raffaela Mirandola. (2023). Impact of Key Scrum Role Locations in Student Distributed Software Development Projects. 69–78.
5.
Camilli, Matteo, Raffaela Mirandola, & Patrizia Scandurra. (2022). XSA: eXplainable Self-Adaptation. Aisberg (University of Bergamo). 1–5. 8 indexed citations
6.
Biffl, Stefan, et al.. (2021). Software Architecture. Lecture notes in computer science. 3 indexed citations
7.
Caporuscio, Mauro, et al.. (2019). To what extent formal methods are applicable for performance analysis of smart cyber-physical systems?. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 139–144. 1 indexed citations
8.
Cortellessa, Vittorio, Raffaela Mirandola, & Pasqualina Potena. (2014). Managing the evolution of a software architecture at minimal cost under performance and reliability constraints. Science of Computer Programming. 98. 439–463. 9 indexed citations
9.
Pérez-Palacín, Diego, Raffaela Mirandola, & José Merseguer. (2013). On the relationships between QoS and software adaptability at the architectural level. Journal of Systems and Software. 87. 1–17. 22 indexed citations
10.
Mirandola, Raffaela & Catia Trubiani. (2012). A Deep Investigation for QoS-based Feedback at Design Time and Runtime. 147–156. 8 indexed citations
11.
Bartolini, Cesare, et al.. (2012). Non-functional analysis of service choreographies. 8–14. 2 indexed citations
12.
Grassi, Vincenzo, Raffaela Mirandola, Jorge Cuéllar, & Javier López. (2012). Proceedings of the 3rd international ACM SIGSOFT symposium on Architecting Critical Systems. 2 indexed citations
13.
Ghezzi, Carlo, et al.. (2011). Towards quality driven exploration of model transformation spaces. 2–16. 13 indexed citations
14.
Mirandola, Raffaela, Pasqualina Potena, Elvinia Riccobene, & Patrizia Scandurra. (2011). A Framework for Adapting Service-oriented Applications based on Functional/Extra-functional Requirements Tradeoffs. International Conference on Software Engineering Advances. 118–123. 1 indexed citations
15.
Mirandola, Raffaela & Pasqualina Potena. (2011). A QoS-based framework for the adaptation of service-based systems. Scalable Computing Practice and Experience. 12(1). 63–78. 4 indexed citations
16.
Cardellini, Valeria, Emiliano Casalicchio, Vincenzo Grassi, et al.. (2011). MOSES: A Framework for QoS Driven Runtime Adaptation of Service-Oriented Systems. IEEE Transactions on Software Engineering. 38(5). 1138–1159. 115 indexed citations
17.
Ghezzi, Carlo, et al.. (2010). QVTR2: a rational and performance-aware extension to the relations language. 328–328. 2 indexed citations
18.
Nitto, Elisabetta Di, et al.. (2007). Self-Aggregation Algorithms for Autonomic Systems. 5 indexed citations
19.
Mirandola, Raffaela & Vittorio Cortellessa. (2000). UML based performance modeling of distributed systems. Lecture notes in computer science. 178–193. 20 indexed citations
20.
Mirandola, Raffaela, et al.. (1995). Performance Analysis of Client Server Data Bases by the Independent Modelling Approach.. 517–522. 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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