Nicola Mazzocca

3.6k total citations
181 papers, 1.7k citations indexed

About

Nicola Mazzocca is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Nicola Mazzocca has authored 181 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Computer Networks and Communications, 58 papers in Information Systems and 42 papers in Artificial Intelligence. Recurrent topics in Nicola Mazzocca's work include Service-Oriented Architecture and Web Services (24 papers), Distributed and Parallel Computing Systems (22 papers) and Software System Performance and Reliability (19 papers). Nicola Mazzocca is often cited by papers focused on Service-Oriented Architecture and Web Services (24 papers), Distributed and Parallel Computing Systems (22 papers) and Software System Performance and Reliability (19 papers). Nicola Mazzocca collaborates with scholars based in Italy, United States and Spain. Nicola Mazzocca's co-authors include Antonino Mazzeo, Valeria Vittorini, Alessandra De Benedictis, Alessandro Cilardo, Valentina Casola, S. Marrone, Francesco Flammini, Mario Barbareschi, Flora Amato and Luigi Romano and has published in prestigious journals such as Proceedings of the IEEE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Nicola Mazzocca

161 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicola Mazzocca Italy 21 753 569 420 322 290 181 1.7k
Ming Gu China 25 647 0.9× 278 0.5× 408 1.0× 257 0.8× 236 0.8× 192 1.9k
Christian Prehofer Germany 20 937 1.2× 281 0.5× 398 0.9× 90 0.3× 481 1.7× 121 1.5k
Vijay K. Madisetti United States 20 801 1.1× 679 1.2× 276 0.7× 241 0.7× 418 1.4× 146 2.0k
Marco Gribaudo Italy 19 853 1.1× 420 0.7× 142 0.3× 91 0.3× 205 0.7× 139 1.3k
Lúıs Gomes Portugal 20 263 0.3× 276 0.5× 172 0.4× 506 1.6× 305 1.1× 164 1.8k
Xiaoyu Song United States 27 658 0.9× 350 0.6× 1.1k 2.7× 508 1.6× 899 3.1× 271 2.9k
Bahman Arasteh Iran 19 443 0.6× 385 0.7× 385 0.9× 52 0.2× 117 0.4× 100 1.2k
Gigliola Vaglini Italy 20 360 0.5× 141 0.2× 302 0.7× 92 0.3× 98 0.3× 74 1.0k
Abhishek Verma United States 19 1.6k 2.1× 1.6k 2.8× 495 1.2× 232 0.7× 129 0.4× 40 2.4k

Countries citing papers authored by Nicola Mazzocca

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Mazzocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Mazzocca

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Mazzocca. A scholar is included among the top collaborators of Nicola Mazzocca 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 Nicola Mazzocca. Nicola Mazzocca 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.
Aversa, Rocco, Beniamino Di Martino, Nicola Mazzocca, & Salvatore Venticinque. (2026). A resource discovery service for a mobile agents based grid infrastructure. 1011–1017.
2.
Casola, Valentina, Nicola Mazzocca, Antonino Mazzeo, & Valeria Vittorini. (2026). Policy based interoperability in distributed security infrastructures. 1027–1034.
3.
Aalst, Wil M. P. van der, et al.. (2025). Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction. Knowledge-Based Systems. 310. 112970–112970. 1 indexed citations
4.
Barbareschi, Mario, et al.. (2025). Engineering SRAM-PUF on Arduino microcontroller. Journal of Systems Architecture. 167. 103466–103466.
5.
Barbareschi, Mario, et al.. (2024). Designing on-board explainable passenger flow prediction. Engineering Applications of Artificial Intelligence. 139. 109648–109648. 1 indexed citations
6.
Martino, Sergio Di, et al.. (2024). Machine Learning for public transportation demand prediction: A Systematic Literature Review. Engineering Applications of Artificial Intelligence. 137. 109166–109166. 7 indexed citations
7.
Martino, Sergio Di, et al.. (2024). A Reference Architecture for Data-Driven Intelligent Public Transportation Systems. IEEE Open Journal of Intelligent Transportation Systems. 5. 469–482. 3 indexed citations
8.
Vita, Fabrizio De, et al.. (2023). A Process Mining-based unsupervised Anomaly Detection technique for the Industrial Internet of Things. Internet of Things. 24. 100993–100993. 4 indexed citations
9.
Martino, Sergio Di, et al.. (2023). Vehicular Crowdsensing with High-Mileage Vehicles: Investigating Spatiotemporal Coverage Dynamics in Historical Cities with Complex Urban Road Networks. Journal of Advanced Transportation. 2023. 1–15. 1 indexed citations
10.
Amato, Flora, Giovanni Cozzolino, Antonino Mazzeo, & Nicola Mazzocca. (2017). Correlation of Digital Evidences in Forensic Investigation through Semantic Technologies. 668–673. 8 indexed citations
11.
Benerecetti, Massimo, S. Marrone, Nicola Mazzocca, et al.. (2016). Dynamic state machines for modelling railway control systems. Science of Computer Programming. 133. 116–153. 9 indexed citations
12.
Cilardo, Alessandro, Luca Gallo, Antonino Mazzeo, & Nicola Mazzocca. (2013). Efficient and scalable OpenMP-based system-level design. Design, Automation, and Test in Europe. 988–991. 18 indexed citations
13.
Flammini, Francesco, et al.. (2009). On-line integration and reasoning of multi-sensor data to enhance infrastructure surveillance. 4(3). 183–191. 3 indexed citations
14.
Aversa, Rocco, Beniamino Di Martino, Nicola Mazzocca, & Salvatore Venticinque. (2008). Proxy agents for adaptive delivery of multimedia. Journal of Multimedia. 4(3). 227–240.
15.
Mazzeo, Antonino, Luigi Romano, G.P. Saggese, & Nicola Mazzocca. (2003). FPGA-Based Implementation of a Serial RSA Processor. Design, Automation, and Test in Europe. 10582–10589. 23 indexed citations
16.
Mazzocca, Nicola, Emilio P. Mancini, Massimiliano Rak, & Umberto Villano. (2003). Integrated Tools for Performance-Oriented Distributed Software Development. International Conference on Software Engineering. 88–94. 8 indexed citations
17.
Aversa, Rocco, Beniamino Di Martino, Salvatore Venticinque, & Nicola Mazzocca. (2001). A Mobile Agents based Infrastructure to deliver value added services in SOAs. Scalable Computing Practice and Experience. 8(3). 1 indexed citations
18.
Romano, Luigi, et al.. (1999). Reliability and fault-tolerance issues in distributed VoD systems.
19.
Mazzeo, Antonino, Nicola Mazzocca, & Umberto Villano. (1997). On the evaluation of efficiency in heterogeneous distributed systems. 54–59. 2 indexed citations
20.
Aversa, Rocco, Antonino Mazzeo, Nicola Mazzocca, & Umberto Villano. (1995). The Use of Simulation for Software Development in Heterogeneous Computing Environments. Parallel and Distributed Processing Techniques and Applications. 581–590. 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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