Giovanni Mazzeo

623 total citations
30 papers, 313 citations indexed

About

Giovanni Mazzeo is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Giovanni Mazzeo has authored 30 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 17 papers in Information Systems and 8 papers in Computer Networks and Communications. Recurrent topics in Giovanni Mazzeo's work include Security and Verification in Computing (16 papers), Cloud Data Security Solutions (8 papers) and Advanced Malware Detection Techniques (6 papers). Giovanni Mazzeo is often cited by papers focused on Security and Verification in Computing (16 papers), Cloud Data Security Solutions (8 papers) and Advanced Malware Detection Techniques (6 papers). Giovanni Mazzeo collaborates with scholars based in Italy, France and Greece. Giovanni Mazzeo's co-authors include Luigi Coppolino, Salvatore D’Antonio, Luigi Romano, Mariacarla Staffa, Erol Gelenbe, Konstantinos Votis, Francesco Moscato, Flora Amato, Domenico Cotroneo and Vassilis Koutkias and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Computers and Reliability Engineering & System Safety.

In The Last Decade

Giovanni Mazzeo

27 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Mazzeo Italy 9 182 153 107 66 35 30 313
Mohammed Achemlal France 4 194 1.1× 234 1.5× 142 1.3× 66 1.0× 40 1.1× 7 380
Carlos Maziero Brazil 9 86 0.5× 125 0.8× 189 1.8× 69 1.0× 20 0.6× 43 264
B. S. Bindhumadhava India 9 140 0.8× 94 0.6× 111 1.0× 79 1.2× 24 0.7× 29 255
Gbadebo Ayoade United States 10 199 1.1× 149 1.0× 171 1.6× 104 1.6× 10 0.3× 15 319
Mohamed Sabt France 2 183 1.0× 258 1.7× 157 1.5× 72 1.1× 44 1.3× 4 390
Robert J. Walls United States 12 172 0.9× 167 1.1× 156 1.5× 120 1.8× 26 0.7× 29 344
André Takeshi Endo Brazil 10 249 1.4× 78 0.5× 124 1.2× 72 1.1× 14 0.4× 49 408
Hilarie Orman United States 9 159 0.9× 175 1.1× 196 1.8× 81 1.2× 39 1.1× 28 389
Ting Dai United States 10 99 0.5× 148 1.0× 115 1.1× 51 0.8× 12 0.3× 25 295
John Douglas Howard United States 2 142 0.8× 97 0.6× 196 1.8× 102 1.5× 29 0.8× 3 282

Countries citing papers authored by Giovanni Mazzeo

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Mazzeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Mazzeo

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Mazzeo. A scholar is included among the top collaborators of Giovanni Mazzeo 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 Giovanni Mazzeo. Giovanni Mazzeo 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.
Coppolino, Luigi, Salvatore D’Antonio, Giovanni Mazzeo, & Luigi Romano. (2025). An experimental evaluation of TEE technology: Benchmarking transparent approaches based on SGX, SEV, and TDX. Computers & Security. 154. 104457–104457. 4 indexed citations
2.
Coppolino, Luigi, et al.. (2025). The good, the bad, and the algorithm: The impact of generative AI on cybersecurity. Neurocomputing. 623. 129406–129406. 7 indexed citations
3.
Coppolino, Luigi, et al.. (2024). WASMBOX: A Lightweight Wasm-Based Runtime for Trustworthy Multi-Tenant Embedded Systems. IEEE Transactions on Emerging Topics in Computing. 13(2). 467–480. 2 indexed citations
4.
5.
Pasin, Marcelo, et al.. (2023). A Comprehensive Trusted Runtime for WebAssembly With Intel SGX. IEEE Transactions on Dependable and Secure Computing. 21(4). 3562–3579. 7 indexed citations
6.
D’Antonio, Salvatore, et al.. (2023). The Alliance of HE and TEE to Enhance their Performance and Security. SPIRE - Sciences Po Institutional REpository. 641–647. 3 indexed citations
7.
Coppolino, Luigi, et al.. (2022). PriSIEM: Enabling privacy-preserving Managed Security Services. Journal of Network and Computer Applications. 203. 103397–103397. 3 indexed citations
8.
Natsiavas, Pantelis, Giovanni Mazzeo, Giuliana Faiella, et al.. (2021). Developing an infrastructure for secure patient summary exchange in the EU context: Lessons learned from the KONFIDO project. Health Informatics Journal. 27(2). 1187506835–1187506835. 5 indexed citations
9.
Coppolino, Luigi, et al.. (2021). The protection of LP-WAN Endpoints via TEE: a Chemical Storage Case Study. CINECA IRIS Institutial research information system (Parthenope University of Naples). pp. 345–352. 2 indexed citations
10.
Mazzeo, Giovanni, Sergei Arnautov, Christof Fetzer, & Luigi Romano. (2021). SGXTuner: Performance Enhancement of Intel SGX Applications Via Stochastic Optimization. IEEE Transactions on Dependable and Secure Computing. 19(4). 2595–2608. 2 indexed citations
11.
Amato, Flora, Luigi Coppolino, Giovanni Cozzolino, et al.. (2021). Enhancing random forest classification with NLP in DAMEH: A system for DAta Management in eHealth Domain. Neurocomputing. 444. 79–91. 9 indexed citations
12.
Coppolino, Luigi, et al.. (2020). VISE: Combining Intel SGX and Homomorphic Encryption for Cloud Industrial Control Systems. IEEE Transactions on Computers. 70(5). 711–724. 23 indexed citations
13.
Coppolino, Luigi, Salvatore D’Antonio, Giovanni Mazzeo, & Luigi Romano. (2019). A comprehensive survey of hardware-assisted security: From the edge to the cloud. Internet of Things. 6. 100055–100055. 37 indexed citations
14.
Staffa, Mariacarla, Giovanni Mazzeo, Luigi Coppolino, et al.. (2018). An OpenNCP-based Solution for Secure eHealth Data Exchange. Journal of Network and Computer Applications. 116. 65–85. 25 indexed citations
15.
Coppolino, Luigi, et al.. (2018). How to Protect Public Administration from Cybersecurity Threats: The COMPACT Project. CINECA IRIS Institutial research information system (Parthenope University of Naples). 573–578. 10 indexed citations
16.
Mazzeo, Giovanni, Luigi Coppolino, Salvatore D’Antonio, Claudio Mazzariello, & Luigi Romano. (2018). SIL2 assessment of an Active/Standby COTS-based Safety-Related system. Reliability Engineering & System Safety. 176. 125–134. 2 indexed citations
17.
Coppolino, Luigi, et al.. (2018). An Approach for Securing Critical Applications in Untrusted Clouds. CINECA IRIS Institutial research information system (Parthenope University of Naples). 41. 436–440. 2 indexed citations
18.
Coppolino, Luigi, et al.. (2018). Exploiting New CPU Extensions for Secure Exchange of eHealth Data at the EU Level. CINECA IRIS Institutial research information system (Parthenope University of Naples). abs 1801 1203. 17–24. 5 indexed citations
19.
Fetzer, Christof, et al.. (2017). Integrating Reactive Cloud Applications in SERECA. 1–8. 7 indexed citations
20.
Coppolino, Luigi, Salvatore D’Antonio, Giovanni Mazzeo, & Luigi Romano. (2016). Cloud security: Emerging threats and current solutions. Computers & Electrical Engineering. 59. 126–140. 102 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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