Massimo Mecella

5.7k total citations
189 papers, 2.1k citations indexed

About

Massimo Mecella is a scholar working on Information Systems, Management Information Systems and Computer Networks and Communications. According to data from OpenAlex, Massimo Mecella has authored 189 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Information Systems, 59 papers in Management Information Systems and 57 papers in Computer Networks and Communications. Recurrent topics in Massimo Mecella's work include Service-Oriented Architecture and Web Services (65 papers), Business Process Modeling and Analysis (56 papers) and Context-Aware Activity Recognition Systems (25 papers). Massimo Mecella is often cited by papers focused on Service-Oriented Architecture and Web Services (65 papers), Business Process Modeling and Analysis (56 papers) and Context-Aware Activity Recognition Systems (25 papers). Massimo Mecella collaborates with scholars based in Italy, Netherlands and Germany. Massimo Mecella's co-authors include Giuseppe De Giacomo, Daniela Berardi, Diego Calvanese, Andrea Marrella, Carlo Batini, Francesco Leotta, Claudio Di Ciccio, Maurizio Lenzerini, Tiziana Catarci and Massimiliano de Leoni and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Massimo Mecella

175 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
Massimo Mecella Italy 25 1.0k 762 727 602 234 189 2.1k
Terry R. Payne United Kingdom 21 1.9k 1.8× 1.6k 2.1× 619 0.9× 934 1.6× 265 1.1× 131 2.7k
Bernhard Rumpe⋆ Germany 28 1.5k 1.4× 1.5k 2.0× 410 0.6× 592 1.0× 106 0.5× 342 3.5k
Mark Klein United States 28 1.4k 1.4× 1.4k 1.8× 788 1.1× 847 1.4× 53 0.2× 125 3.4k
Alistair Barros Australia 21 1.7k 1.6× 961 1.3× 1.5k 2.0× 771 1.3× 99 0.4× 99 2.7k
Haoyong Lan United States 2 883 0.8× 1.1k 1.5× 291 0.4× 460 0.8× 237 1.0× 4 1.8k
Volker Gruhn Germany 25 1.1k 1.1× 503 0.7× 661 0.9× 364 0.6× 119 0.5× 203 2.2k
Agostino Poggi Italy 20 608 0.6× 1.0k 1.3× 246 0.3× 793 1.3× 134 0.6× 102 1.9k
Alessandro Ricci Italy 20 395 0.4× 1.1k 1.4× 340 0.5× 529 0.9× 119 0.5× 148 1.9k
Kuo‐Ming Chao United Kingdom 28 1.0k 1.0× 717 0.9× 177 0.2× 888 1.5× 236 1.0× 201 2.7k
Fabio Bellifemine Italy 16 742 0.7× 1.6k 2.0× 402 0.6× 1.3k 2.1× 406 1.7× 37 3.2k

Countries citing papers authored by Massimo Mecella

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Mecella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Mecella

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Mecella. A scholar is included among the top collaborators of Massimo Mecella 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 Massimo Mecella. Massimo Mecella 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.
Bianchini, Filippo, et al.. (2025). SAMBA: A reference framework for Human-in-the-Loop in adaptive Smart Manufacturing. Procedia Computer Science. 253. 2257–2267. 3 indexed citations
2.
Buono, Paolo, et al.. (2025). Revisiting Data Visualizations in Diagnostic Reports. 7200–7206.
3.
Mecella, Massimo, et al.. (2025). Predictive Modeling for Pandemic Forecasting: A COVID-19 Study in New Zealand and Partner Countries. International Journal of Environmental Research and Public Health. 22(4). 562–562. 2 indexed citations
4.
Mecella, Massimo, et al.. (2024). Supporting business confidentiality in coopetitive scenarios: The B-CONFIDENT approach in blockchain-based supply chains. Journal of Industrial Information Integration. 42. 100730–100730. 3 indexed citations
5.
Leotta, Francesco, et al.. (2024). On the application of process management and process mining to Industry 4.0. Software & Systems Modeling. 23(6). 1407–1419. 6 indexed citations
6.
Bianchini, Devis, Alessandro Campi, Cinzia Cappiello, et al.. (2023). Challenges in AI-supported Process Analysis in the Italian Judicial System: what After Digitalization?. Digital Government Research and Practice. 5(1). 1–10. 4 indexed citations
7.
Leotta, Francesco, et al.. (2023). A survey on the application of process discovery techniques to smart spaces data. Engineering Applications of Artificial Intelligence. 126. 106748–106748. 1 indexed citations
8.
Mecella, Massimo, et al.. (2021). Exploring a Text Corpus via a Knowledge Graph.. 91–102. 1 indexed citations
9.
Caulier‐Cisterna, Raúl, et al.. (2021). Online Service Function Chain Deployment for Live-Streaming in Virtualized Content Delivery Networks: A Deep Reinforcement Learning Approach. Future Internet. 13(11). 278–278. 13 indexed citations
10.
Marrella, Andrea, Massimo Mecella, Barbara Pernici, & Pierluigi Plebani. (2018). A design-time data-centric maturity model for assessing resilience in multi-party business processes. Information Systems. 86. 62–78. 6 indexed citations
11.
Lembo, Domenico, et al.. (2018). Ontology population for open‐source intelligence: A GATE‐based solution. Software Practice and Experience. 48(12). 2302–2330. 14 indexed citations
12.
Leotta, Francesco, et al.. (2016). Process-Based Habit Mining: Experiments and Techniques. IRIS Research product catalog (Sapienza University of Rome). 145–152. 13 indexed citations
13.
Mecella, Massimo, et al.. (2015). Building an emotional IPA through empirical design with high- school students. IRIS Research product catalog (Sapienza University of Rome). 6 indexed citations
14.
Lembo, Domenico, et al.. (2013). BPM4ED: A research project for designing 21st-century schools. IRIS Research product catalog (Sapienza University of Rome).
15.
Russo, Alessandro, et al.. (2009). A Web Service-based Process-aware Information System for Smart Devices. RePEc: Research Papers in Economics. 1(5). 3 indexed citations
16.
Calvanese, Diego, Giuseppe De Giacomo, Maurizio Lenzerini, Massimo Mecella, & Fabio Patrizi. (2008). Automatic Service Composition and Synthesis: the Roman Model.. View. 31. 18–22. 36 indexed citations
17.
Mecella, Massimo, et al.. (2007). The Italian e-Government Service Oriented Architecture. Strategic Vision and Technical Solutions. IRIS Research product catalog (Sapienza University of Rome). 5 indexed citations
18.
Leoni, Massimiliano de, et al.. (2007). Emergency Management: from User Requirements to a Flexible P2P Architecture. IRIS Research product catalog (Sapienza University of Rome). 21 indexed citations
19.
Mecella, Massimo, et al.. (2001). A Repository of Workflow Components for Cooperative e-Applications. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 21(5). 347–354. 4 indexed citations
20.
Batini, Carlo, Fausto Giunchiglia, Paolo Giorgini, & Massimo Mecella. (2001). Proceedings of the 9th International Conference on Cooperative Information Systems. 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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