Henry Muccini

3.6k total citations
144 papers, 1.9k citations indexed

About

Henry Muccini is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Henry Muccini has authored 144 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Artificial Intelligence, 68 papers in Information Systems and 52 papers in Software. Recurrent topics in Henry Muccini's work include Advanced Software Engineering Methodologies (77 papers), Software System Performance and Reliability (38 papers) and Software Engineering Research (30 papers). Henry Muccini is often cited by papers focused on Advanced Software Engineering Methodologies (77 papers), Software System Performance and Reliability (38 papers) and Software Engineering Research (30 papers). Henry Muccini collaborates with scholars based in Italy, United Kingdom and United States. Henry Muccini's co-authors include Ivano Malavolta, Patrizio Pelliccione, Patricia Lago, Antonia Bertolino, Mohammad Sharaf, Paola Inverardi, Antony Tang, Davide Di Ruscio, Danny Weyns and Debra J. Richardson and has published in prestigious journals such as IEEE Transactions on Software Engineering, Applied Sciences and IEEE Software.

In The Last Decade

Henry Muccini

131 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henry Muccini Italy 23 993 941 754 716 146 144 1.9k
Ivano Malavolta Netherlands 26 1.4k 1.4× 927 1.0× 616 0.8× 1.1k 1.6× 142 1.0× 133 2.3k
Patrizio Pelliccione Italy 24 851 0.9× 1.1k 1.2× 677 0.9× 609 0.9× 143 1.0× 165 2.0k
Dayang N. A. Jawawi Malaysia 18 989 1.0× 500 0.5× 631 0.8× 426 0.6× 68 0.5× 154 1.7k
Davide Di Ruscio Italy 24 1.3k 1.3× 976 1.0× 1.0k 1.4× 509 0.7× 266 1.8× 157 2.1k
Raffaela Mirandola Italy 21 1.2k 1.2× 1.3k 1.4× 596 0.8× 1.4k 1.9× 126 0.9× 145 2.1k
Michel R. V. Chaudron Netherlands 27 1.6k 1.6× 1.1k 1.1× 917 1.2× 601 0.8× 144 1.0× 166 2.2k
Farokh Bastani United States 23 975 1.0× 526 0.6× 623 0.8× 809 1.1× 80 0.5× 205 2.0k
Shiva Nejati Luxembourg 25 868 0.9× 756 0.8× 1.1k 1.5× 355 0.5× 146 1.0× 86 1.9k
Sergio Segura Spain 26 1.7k 1.7× 1.5k 1.6× 1.5k 2.0× 777 1.1× 66 0.5× 70 2.8k
Richard F. Paige United Kingdom 24 1.2k 1.2× 945 1.0× 1.2k 1.6× 427 0.6× 292 2.0× 160 2.0k

Countries citing papers authored by Henry Muccini

Since Specialization
Citations

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

Fields of papers citing papers by Henry Muccini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henry Muccini

This figure shows the co-authorship network connecting the top 25 collaborators of Henry Muccini. A scholar is included among the top collaborators of Henry Muccini 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 Henry Muccini. Henry Muccini 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.
Lago, Patricia, et al.. (2024). A Synthesis of Green Architectural Tactics for ML-Enabled Systems. VU Research Portal. 130–141. 10 indexed citations
2.
Staron, Miroslaw, et al.. (2024). Bringing Software Engineering Discipline to the Development of AI-Enabled Systems. IEEE Software. 41(5). 79–82. 1 indexed citations
3.
Bogner, Justus, et al.. (2024). How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection. VU Research Portal. 172–182. 1 indexed citations
4.
Muccini, Henry, et al.. (2024). Energy Efficiency of AI-Powered Components: A Comparative Study of Feature Selection Methods. 99–108. 1 indexed citations
5.
Batista, Thaı́s, Tomáš Bureš, Claudia Raibulet, & Henry Muccini. (2023). Software Architecture. ECSA 2022 Tracks and Workshops. Lecture notes in computer science. 1 indexed citations
6.
Rienties, Bart, Rebecca Ferguson, Christothea Herodotou, et al.. (2023). Education 4.0 in higher education and computer science: A systematic review. Computer Applications in Engineering Education. 31(5). 1339–1357. 5 indexed citations
7.
Bucchiarone, Antonio, et al.. (2023). Dsl4gar: A Domain Specific Language for Gamification Rules Definition, Simulation and Deployment. SSRN Electronic Journal.
8.
Zhang, Pengcheng, et al.. (2020). Quality Assurance Technologies of Big Data Applications: A Systematic Literature Review. Applied Sciences. 10(22). 8052–8052. 12 indexed citations
9.
Ameller, David, Xavier Franch, Cristina Gómez, et al.. (2019). Dealing with Non-Functional Requirements in Model-Driven Development: A Survey. IEEE Transactions on Software Engineering. 47(4). 818–835. 29 indexed citations
10.
Muccini, Henry, et al.. (2019). CATRES: a Context-Aware Recommender System for Indoor and Outdoor Museums Tours Planning.. 31–34.
11.
Osborne, Francesco, Henry Muccini, Patricia Lago, & Enrico Motta. (2019). Reducing the effort for systematic reviews in software engineering. VU Research Portal. 2(1-2). 311–340. 8 indexed citations
12.
Dugdale, Julie, et al.. (2019). Agent-based Simulation for IoT Facilitated Building Evacuation. SPIRE - Sciences Po Institutional REpository. 1–8. 6 indexed citations
13.
Ruscio, Davide Di, et al.. (2018). [Journal First] Collaborative Model-Driven Software Engineering: A Classification Framework and a Research Map [Extended Abstract]. International Conference on Software Engineering. 1 indexed citations
14.
Ruscio, Davide Di, et al.. (2017). Collaborative Model-Driven Software Engineering: A Classification Framework and a Research Map. IEEE Transactions on Software Engineering. 44(12). 1146–1175. 65 indexed citations
15.
Bucchiarone, Antonio, Henry Muccini, & Patrizio Pelliccione. (2015). A Practical Architecture-Centric Analysis Process.
16.
Beek, Maurice H. ter, Henry Muccini, & Patrizio Pelliccione. (2012). Guaranteeing Correct Evolution of Software Product Lines.. ERCIM news/ERCIM news online edition. 2012.
17.
Muccini, Henry, et al.. (2012). Software testing of mobile applications: Challenges and future research directions. 29–35. 105 indexed citations
18.
Guelfi, Nicolas, Henry Muccini, Patrizio Pelliccione, & Alexander Romanovsky. (2008). Proceedings of the 2008 RISE/EFTS Joint International Workshop on Software Engineering for Resilient Systems. 1 indexed citations
19.
Bertolino, Antonia, Paola Inverardi, & Henry Muccini. (2001). An explorative journey from architectural tests definition down to code tests execution. International Conference on Software Engineering. 211–220. 22 indexed citations
20.
Inverardi, Paola & Henry Muccini. (2000). A Coordination Process Based on UML and a Software Architectural Description.. Parallel and Distributed Processing Techniques and Applications. 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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