Marco Savi

1.2k total citations
62 papers, 836 citations indexed

About

Marco Savi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Marco Savi has authored 62 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Networks and Communications, 24 papers in Electrical and Electronic Engineering and 10 papers in Information Systems. Recurrent topics in Marco Savi's work include Software-Defined Networks and 5G (34 papers), Advanced Optical Network Technologies (17 papers) and Network Security and Intrusion Detection (15 papers). Marco Savi is often cited by papers focused on Software-Defined Networks and 5G (34 papers), Advanced Optical Network Technologies (17 papers) and Network Security and Intrusion Detection (15 papers). Marco Savi collaborates with scholars based in Italy, United Kingdom and Germany. Marco Savi's co-authors include Massimo Tornatore, Domenico Siracusa, Giacomo Verticale, Francesco Musumeci, Achille Pattavina, Cristina Rottondi, Paolo Napoletano, Gianni Antichi, Elio Salvadori and Roberto Doriguzzi-Corin and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Smart Grid.

In The Last Decade

Marco Savi

56 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Savi Italy 15 634 374 197 151 66 62 836
Subharthi Paul United States 11 931 1.5× 342 0.9× 194 1.0× 82 0.5× 49 0.7× 26 1.0k
Tigang Jiang China 9 351 0.6× 316 0.8× 212 1.1× 83 0.5× 22 0.3× 27 531
Mohammad A. Islam United States 12 269 0.4× 177 0.5× 232 1.2× 110 0.7× 48 0.7× 52 453
Arslan Musaddiq South Korea 13 493 0.8× 230 0.6× 121 0.6× 97 0.6× 43 0.7× 33 639
Lewis Tseng United States 9 322 0.5× 173 0.5× 251 1.3× 217 1.4× 37 0.6× 54 580
Wenxin Lei China 9 279 0.4× 184 0.5× 135 0.7× 109 0.7× 148 2.2× 26 479
M. Yannuzzi Spain 15 742 1.2× 448 1.2× 156 0.8× 100 0.7× 24 0.4× 59 926
Akram Hakiri France 9 634 1.0× 194 0.5× 126 0.6× 67 0.4× 32 0.5× 25 733
Inshil Doh South Korea 11 296 0.5× 139 0.4× 141 0.7× 197 1.3× 67 1.0× 59 535
Pengju Liu China 7 484 0.8× 221 0.6× 164 0.8× 259 1.7× 28 0.4× 15 613

Countries citing papers authored by Marco Savi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Savi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Savi

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Savi. A scholar is included among the top collaborators of Marco Savi 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 Marco Savi. Marco Savi 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.
Ciavotta, Michele, et al.. (2025). Decentralized Edge Workload Forecasting With Gossip Learning. IEEE Transactions on Network and Service Management. 22(4). 3016–3031.
2.
Sartori, Fábio, et al.. (2025). A Federated Approach to Enhance Calibration of Distributed ML-Based Intrusion Detection Systems. BOA (University of Milano-Bicocca). 840–848.
3.
Sartori, Fábio, et al.. (2024). Hierarchical Multiclass Continual Learning for Network Intrusion Detection. BOA (University of Milano-Bicocca). 263–267. 1 indexed citations
4.
Savi, Marco, et al.. (2024). Comparing Actor-Critic and Neuroevolution Approaches for Traffic Offloading in FaaS-powered Edge Systems. BOA (University of Milano-Bicocca). 17–24.
5.
Troìa, Sebastian, Marco Savi, Christian Grasso, et al.. (2024). Edge network softwarization and intelligence: Challenges and opportunities. Computer Networks. 255. 110910–110910.
6.
Sartori, Fábio, et al.. (2024). Enhancing trustworthiness in ML-based network intrusion detection with uncertainty quantification. Journal of Reliable Intelligent Environments. 10(4). 501–520. 2 indexed citations
7.
Doriguzzi-Corin, Roberto, et al.. (2023). Introducing packet-level analysis in programmable data planes to advance Network Intrusion Detection. Computer Networks. 239. 110162–110162. 12 indexed citations
8.
Savi, Marco, et al.. (2023). Uncertainty-Aware QoT Forecasting in Optical Networks with Bayesian Recurrent Neural Networks. BOA (University of Milano-Bicocca). 441–446. 2 indexed citations
9.
Sartori, Fábio, et al.. (2023). A Clustering Strategy for Enhanced FL-Based Intrusion Detection in IoT Networks. arXiv (Cornell University). 152–160. 3 indexed citations
10.
Troìa, Sebastian, et al.. (2023). Performance characterization and profiling of chained CPU-bound Virtual Network Functions. Computer Networks. 231. 109815–109815. 7 indexed citations
11.
Savi, Marco, et al.. (2022). Serverless Computing for NFV: Is it Worth it? A Performance Comparison Analysis. BOA (University of Milano-Bicocca). 680–685. 8 indexed citations
12.
Savi, Marco, et al.. (2022). Tracking Normalized Network Traffic Entropy to Detect DDoS Attacks in P4. Institutional Research Information System (Università degli Studi di Trento). 24 indexed citations
13.
Savi, Marco, et al.. (2022). Design and Development of Network Monitoring Strategies in P4-enabled Programmable Switches. BOA (University of Milano-Bicocca). 1–6. 5 indexed citations
14.
Savi, Marco, et al.. (2021). Short-Term Energy Consumption Forecasting at the Edge: A Federated Learning Approach. IEEE Access. 9. 95949–95969. 82 indexed citations
15.
Napoletano, Paolo, et al.. (2021). A LoRa-Based Mesh Network for Peer-to-Peer Long-Range Communication. Sensors. 21(13). 4314–4314. 39 indexed citations
16.
Kochovski, Petar, et al.. (2020). Smart Contracts for Service-Level Agreements in Edge-to-Cloud Computing. Journal of Grid Computing. 18(4). 673–690. 40 indexed citations
17.
Savi, Marco & Domenico Siracusa. (2018). Application-aware service provisioning and restoration in SDN-based multi-layer transport networks. Optical Switching and Networking. 30. 71–84. 11 indexed citations
18.
Tomkos, Ioannis, Marco Savi, Pontus Sköldström, et al.. (2018). Application aware multilayer control and optimization of elastic WDM switched optical networks. Optical Fiber Communication Conference. Th1D.4–Th1D.4. 10 indexed citations
19.
Savi, Marco, et al.. (2016). Virtual Network Function placement for resilient Service Chain provisioning. BOA (University of Milano-Bicocca). 245–252. 74 indexed citations
20.
Savi, Marco, Massimo Tornatore, & Giacomo Verticale. (2015). Impact of processing costs on service chain placement in network functions virtualization. BOA (University of Milano-Bicocca). 191–197. 64 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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