Francesco Moscato

1.3k total citations
48 papers, 632 citations indexed

About

Francesco Moscato is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Francesco Moscato has authored 48 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Information Systems, 17 papers in Computer Networks and Communications and 13 papers in Artificial Intelligence. Recurrent topics in Francesco Moscato's work include Service-Oriented Architecture and Web Services (23 papers), Business Process Modeling and Analysis (12 papers) and Cloud Computing and Resource Management (12 papers). Francesco Moscato is often cited by papers focused on Service-Oriented Architecture and Web Services (23 papers), Business Process Modeling and Analysis (12 papers) and Cloud Computing and Resource Management (12 papers). Francesco Moscato collaborates with scholars based in Italy, Spain and Romania. Francesco Moscato's co-authors include Flora Amato, Rocco Aversa, Beniamino Di Martino, Nicola Mazzocca, Teodor-Florin Fortiş, Victor Ion Munteanu, Vincenzo Moscato, Giovanni Cozzolino, Valeria Vittorini and Alba Amato and has published in prestigious journals such as Computers in Human Behavior, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Industrial Informatics.

In The Last Decade

Francesco Moscato

47 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Moscato Italy 15 393 284 187 73 71 48 632
Luigi Romano Italy 18 523 1.3× 445 1.6× 393 2.1× 121 1.7× 70 1.0× 87 915
Luigi Coppolino Italy 16 387 1.0× 382 1.3× 273 1.5× 126 1.7× 53 0.7× 70 763
Junfeng Zhao China 12 516 1.3× 396 1.4× 295 1.6× 58 0.8× 87 1.2× 49 818
Vineet Kansal India 13 169 0.4× 260 0.9× 163 0.9× 59 0.8× 70 1.0× 62 575
Carsten Rudolph Australia 13 340 0.9× 218 0.8× 263 1.4× 107 1.5× 37 0.5× 92 658
Jong Sou Park South Korea 15 371 0.9× 562 2.0× 207 1.1× 97 1.3× 46 0.6× 70 773
Ludger Fiege Germany 16 199 0.5× 644 2.3× 165 0.9× 68 0.9× 57 0.8× 39 815
Lotfi Ben Othmane United States 13 386 1.0× 169 0.6× 199 1.1× 72 1.0× 21 0.3× 31 582
Huibiao Zhu China 13 236 0.6× 287 1.0× 298 1.6× 35 0.5× 25 0.4× 176 729
Martin Naedele Switzerland 12 262 0.7× 571 2.0× 224 1.2× 126 1.7× 39 0.5× 33 1.1k

Countries citing papers authored by Francesco Moscato

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Moscato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Moscato

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Moscato. A scholar is included among the top collaborators of Francesco Moscato 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 Francesco Moscato. Francesco Moscato 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.
Greco, Luca, Francesco Moscato, Pierluigi Ritrovato, & Mario Vento. (2025). Fast and low cost FPGA-based architecture for arrhythmia detection with CNN. Internet of Things. 33. 101705–101705.
2.
Amato, Flora, Valentina Casola, Giovanni Cozzolino, et al.. (2021). A Security and Privacy Validation Methodology for e-Health Systems. ACM Transactions on Multimedia Computing Communications and Applications. 17(2s). 1–22. 10 indexed citations
3.
Barolli, Leonard, Flora Amato, Francesco Moscato, Tomoya Enokido, & Makoto Takizawa. (2020). Advanced Information Networking and Applications. Advances in intelligent systems and computing. 10 indexed citations
4.
Amato, Flora, Francesco Moscato, Vincenzo Moscato, Antonio Picariello, & Giancarlo Sperlí. (2019). Summarizing Social Media Content for Multimedia Stories Creation.. SEBD. 2 indexed citations
5.
Amato, Flora, Francesco Moscato, & Fatos Xhafa. (2019). Generation of game contents by social media analysis and MAS planning. Computers in Human Behavior. 100. 286–294. 4 indexed citations
6.
Amato, Flora, Giovanni Cozzolino, Antonino Mazzeo, & Francesco Moscato. (2018). An Application of Semantic Techniques for Forensic Analysis. 380–385. 5 indexed citations
7.
Amato, Flora, Nicola Mazzocca, & Francesco Moscato. (2017). Model driven design and evaluation of security level in orchestrated cloud services. Journal of Network and Computer Applications. 106. 78–89. 15 indexed citations
8.
Amato, Flora & Francesco Moscato. (2017). Formal Procedural Content Generation in Games Driven by Social Analyses. 25. 674–679. 3 indexed citations
9.
Amato, Flora & Francesco Moscato. (2016). Pattern-based orchestration and automatic verification of composite cloud services. Computers & Electrical Engineering. 56. 842–853. 16 indexed citations
10.
Amato, Flora & Francesco Moscato. (2015). A model driven approach to data privacy verification in E-Health systems. 8(3). 273–296. 14 indexed citations
11.
Moscato, Francesco, et al.. (2015). Automatic Monitor Generation for Cloud Services. 547–552. 3 indexed citations
12.
Amato, Flora, et al.. (2015). A Model Driven Approach to Water Resource Analysis based on Formal Methods and Model Transformation. Procedia Computer Science. 51. 562–571. 1 indexed citations
13.
Moscato, Francesco. (2015). Exploiting Semantics and Patterns for Verification of Orchestrated Cloud Services. 1786. 192–199. 1 indexed citations
14.
Moscato, Francesco. (2014). Model Driven Engineering and Verification of Composite Cloud Services in MetaMORP(h)OSY. 13. 635–640. 13 indexed citations
15.
Moscato, Francesco, Rocco Aversa, & Alba Amato. (2012). Describing Cloud Use Case in MetaMORP(h)OSY. 6. 793–798. 16 indexed citations
16.
Moscato, Francesco, Beniamino Di Martino, & Rocco Aversa. (2011). Enabling Model Driven Engineering of Cloud Services by using mOSAIC Ontology. Scalable Computing Practice and Experience. 13(1). 29–44. 20 indexed citations
17.
Moscato, Francesco, Rocco Aversa, Beniamino Di Martino, Teodor-Florin Fortiş, & Victor Ion Munteanu. (2011). An analysis of mOSAIC ontology for Cloud resources annotation. Federated Conference on Computer Science and Information Systems. 973–980. 113 indexed citations
18.
Flammini, Francesco, et al.. (2010). Multiformalism techniques for critical infrastructure modelling. International Journal of System of Systems Engineering. 2(1). 19–19. 1 indexed citations
19.
Franceschinis, G., Marco Gribaudo, Mauro Iacono, et al.. (2009). Interfaces and Binding in Component Based Development of Formal Models. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 21 indexed citations
20.
Lorenzo, Giusy Di, Nicola Mazzocca, Francesco Moscato, & Valeria Vittorini. (2007). Towards Semantics Driven Generation of Executable Web Services Compositions. Journal of Software. 2(5). 14 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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