Catia Trubiani

1.1k total citations
69 papers, 543 citations indexed

About

Catia Trubiani is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Catia Trubiani has authored 69 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computer Networks and Communications, 45 papers in Artificial Intelligence and 35 papers in Information Systems. Recurrent topics in Catia Trubiani's work include Software System Performance and Reliability (63 papers), Advanced Software Engineering Methodologies (42 papers) and Software Reliability and Analysis Research (28 papers). Catia Trubiani is often cited by papers focused on Software System Performance and Reliability (63 papers), Advanced Software Engineering Methodologies (42 papers) and Software Reliability and Analysis Research (28 papers). Catia Trubiani collaborates with scholars based in Italy, Germany and Sweden. Catia Trubiani's co-authors include Vittorio Cortellessa, Antinisca Di Marco, Raffaela Mirandola, Anne Koziolek, Alberto Avritzer, Riccardo Pinciroli, André van Hoorn, Holger Knoche, Aldeida Aleti and Indika Meedeniya and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Software Engineering and IEEE Transactions on Industrial Informatics.

In The Last Decade

Catia Trubiani

64 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catia Trubiani Italy 13 407 306 289 219 28 69 543
Hasan Sözer Türkiye 13 251 0.6× 258 0.8× 151 0.5× 235 1.1× 18 0.6× 81 494
Chang‐ai Sun China 13 184 0.5× 342 1.1× 204 0.7× 310 1.4× 33 1.2× 76 571
Hai Huang United States 12 286 0.7× 305 1.0× 187 0.6× 159 0.7× 53 1.9× 31 505
Hans‐Gerhard Gross Netherlands 13 195 0.5× 324 1.1× 161 0.6× 312 1.4× 19 0.7× 40 530
Walid Abdelmoez Egypt 11 165 0.4× 286 0.9× 160 0.6× 309 1.4× 40 1.4× 38 490
Mathieu Acher France 13 182 0.4× 437 1.4× 443 1.5× 194 0.9× 9 0.3× 56 575
Mithun Acharya United States 10 415 1.0× 343 1.1× 184 0.6× 247 1.1× 46 1.6× 19 696
Achim D. Brucker United Kingdom 12 135 0.3× 281 0.9× 246 0.9× 178 0.8× 14 0.5× 63 483
Wensheng Dou China 15 290 0.7× 228 0.7× 124 0.4× 242 1.1× 21 0.8× 60 531
Andrew J. Malton Canada 13 126 0.3× 304 1.0× 270 0.9× 192 0.9× 30 1.1× 29 469

Countries citing papers authored by Catia Trubiani

Since Specialization
Citations

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

Fields of papers citing papers by Catia Trubiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catia Trubiani

This figure shows the co-authorship network connecting the top 25 collaborators of Catia Trubiani. A scholar is included among the top collaborators of Catia Trubiani 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 Catia Trubiani. Catia Trubiani 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.
Endo, André Takeshi, et al.. (2024). Performance regression testing initiatives: a systematic mapping. Information and Software Technology. 179. 107641–107641.
3.
Quattrocchi, Giovanni, et al.. (2024). Autoscaling Solutions for Cloud Applications Under Dynamic Workloads. IEEE Transactions on Services Computing. 17(3). 804–820. 15 indexed citations
4.
Trubiani, Catia, et al.. (2024). Experimental evaluation of architectural software performance design patterns in microservices. Journal of Systems and Software. 218. 112183–112183. 1 indexed citations
5.
Avritzer, Alberto, et al.. (2024). Dependability Modeling in an Industrial Environment. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 43–48.
6.
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
7.
Trubiani, Catia, et al.. (2023). Automated Detection of Software Performance Antipatterns in Java-Based Applications. IEEE Transactions on Software Engineering. 49(4). 2873–2891. 1 indexed citations
8.
Pinciroli, Riccardo, Connie U. Smith, & Catia Trubiani. (2023). Modeling more software performance antipatterns in cyber-physical systems. Software & Systems Modeling. 23(4). 1003–1023. 2 indexed citations
9.
Teki̇nerdoğan, Bedir, Catia Trubiani, Chouki Tibermacine, Patrizia Scandurra, & Carlos E. Cuesta. (2023). Software Architecture. Lecture notes in computer science.
10.
Laurent, Thomas, Paolo Arcaini, Catia Trubiani, & Anthony Ventresque. (2022). Mutation-based analysis of queueing network performance models. Journal of Systems and Software. 191. 111385–111385. 2 indexed citations
11.
Francalanza, Adrian, et al.. (2022). PSTMonitor: Monitor synthesis from probabilistic session types. Science of Computer Programming. 222. 102847–102847. 3 indexed citations
12.
Pinciroli, Riccardo & Catia Trubiani. (2021). Model-based Performance Analysis for Architecting Cyber-Physical Dynamic Spaces. 104–114. 3 indexed citations
13.
Inverso, Omar, Hernán Melgratti, Luca Padovani, Catia Trubiani, & Emilio Tuosto. (2020). Probabilistic Analysis of Binary Sessions. Institutional Research Information System University of Turin (University of Turin). 2 indexed citations
14.
Mirandola, Raffaela, et al.. (2019). Engineering cyber‐physical systems through performance‐based modelling and analysis: A case study experience report. Journal of Software Evolution and Process. 32(1). 8 indexed citations
15.
Sanctis, Martina De, et al.. (2016). A model-driven approach to catch performance antipatterns in ADL specifications. Information and Software Technology. 83. 35–54. 12 indexed citations
16.
Mirandola, Raffaela & Catia Trubiani. (2012). A Deep Investigation for QoS-based Feedback at Design Time and Runtime. 147–156. 8 indexed citations
17.
Trubiani, Catia & Anne Koziolek. (2011). Abstract only. ACM SIGSOFT Software Engineering Notes. 36(5). 36–36. 2 indexed citations
18.
Trubiani, Catia. (2010). A model-based framework for software performance feedback. 19–34. 3 indexed citations
19.
Cortellessa, Vittorio, Antinisca Di Marco, Romina Eramo, Alfonso Pierantonio, & Catia Trubiani. (2010). Digging into UML models to remove performance antipatterns. UniTERAMO Research Catalog (University of Teramo). 9–16. 24 indexed citations
20.
Bartolomeo, Giovanni Di, Stefano Salsano, Nicola Bléfari-Melazzi, & Catia Trubiani. (2008). SMILE- Simple Middleware Independent LayEr for Distributed Mobile Applications. Cineca Institutional Research Information System (Tor Vergata University). 3039–3044. 9 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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