Marco Ruffini

2.8k total citations · 1 hit paper
161 papers, 1.8k citations indexed

About

Marco Ruffini is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Marco Ruffini has authored 161 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Electrical and Electronic Engineering, 67 papers in Computer Networks and Communications and 11 papers in Information Systems. Recurrent topics in Marco Ruffini's work include Advanced Optical Network Technologies (91 papers), Advanced Photonic Communication Systems (87 papers) and Optical Network Technologies (78 papers). Marco Ruffini is often cited by papers focused on Advanced Optical Network Technologies (91 papers), Advanced Photonic Communication Systems (87 papers) and Optical Network Technologies (78 papers). Marco Ruffini collaborates with scholars based in Ireland, United States and Germany. Marco Ruffini's co-authors include David B. Payne, Avishek Nag, Irene Macaluso, Francesco Musumeci, Darko Zibar, Cristina Rottondi, Massimo Tornatore, Frank Slyne, Gabriel‐Miro Muntean and Linda Doyle and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Marco Ruffini

147 papers receiving 1.7k citations

Hit Papers

An Overview on Application of Machine Learning Techniques... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Ruffini Ireland 22 1.4k 697 173 145 69 161 1.8k
Gangxiang Shen China 28 3.5k 2.5× 1.1k 1.6× 106 0.6× 130 0.9× 118 1.7× 322 3.9k
Luis Velasco Spain 33 2.9k 2.0× 1.2k 1.7× 284 1.6× 133 0.9× 77 1.1× 249 3.4k
Claudio Cicconetti Italy 21 1.0k 0.7× 1.4k 2.0× 111 0.6× 227 1.6× 32 0.5× 89 1.7k
Avishek Nag Ireland 20 1.1k 0.8× 386 0.6× 438 2.5× 154 1.1× 156 2.3× 106 1.8k
Luca Valcarenghi Italy 24 2.1k 1.5× 1.1k 1.5× 130 0.8× 108 0.7× 18 0.3× 265 2.5k
Antonio Manzalini Italy 18 403 0.3× 712 1.0× 148 0.9× 228 1.6× 65 0.9× 86 1.1k
Lars Dittmann Denmark 15 1.6k 1.1× 1.1k 1.6× 68 0.4× 67 0.5× 33 0.5× 144 2.0k
Zuriati Ahmad Zukarnain Malaysia 19 510 0.4× 869 1.2× 208 1.2× 145 1.0× 60 0.9× 135 1.3k
Bo Ji United States 18 611 0.4× 811 1.2× 175 1.0× 160 1.1× 29 0.4× 84 1.2k
Kyle Guan United States 16 875 0.6× 1.1k 1.6× 198 1.1× 271 1.9× 36 0.5× 50 1.7k

Countries citing papers authored by Marco Ruffini

Since Specialization
Citations

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

Fields of papers citing papers by Marco Ruffini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Ruffini

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Ruffini. A scholar is included among the top collaborators of Marco Ruffini 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 Ruffini. Marco Ruffini 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.
Ruffini, Marco, et al.. (2025). Routing and Spectrum Allocation in Broadband Quantum Entanglement Distribution. IEEE Journal on Selected Areas in Communications. 43(5). 1856–1870.
2.
Karlsson, Stefan, et al.. (2025). Deep Learning for Detection of Harmful Events in Real-World, Noisy Optical Fiber Deployments. Journal of Lightwave Technology. 43(13). 6092–6101. 4 indexed citations
3.
Martinello, Magnos, et al.. (2024). Performance measurement dataset for open RAN with user mobility and security threats. Computer Networks. 253. 110710–110710. 1 indexed citations
4.
Ruffini, Marco, et al.. (2024). Low-Latency Upstream Scheduling in Multi-Tenant, SLA Compliant TWDM PON. Tu3I.3–Tu3I.3.
5.
Martinello, Magnos, et al.. (2024). PoT-PolKA: Let the Edge Control the Proof-of-Transit in Path-Aware Networks. IEEE Transactions on Network and Service Management. 21(4). 3681–3691. 3 indexed citations
6.
Martinello, Magnos, et al.. (2024). Cross-Domain AI for Early Attack Detection and Defense Against Malicious Flows in O-RAN. QRU Quaderns de Recerca en Urbanisme. 2384–2389. 2 indexed citations
7.
Slyne, Frank, et al.. (2023). Two-tier PON virtualization with scheduler synchronization supporting application-level ultra-low latency in MEC based cloud-RAN, using MESH-PON. Journal of Optical Communications and Networking. 15(7). C100–C100. 2 indexed citations
8.
Wilhelmi, Francesc, et al.. (2023). Blockchain and Smart Contracts for Telecommunications: Requirements vs. Cost Analysis. IEEE Access. 11. 95653–95666. 23 indexed citations
9.
Ruffini, Marco, et al.. (2023). Connected OFCity Challenge: an updated perspective on technology for connected cities. Tu2A.2–Tu2A.2. 1 indexed citations
10.
Müller, Jens, Frank Slyne, Achim Autenrieth, et al.. (2023). Model-based service provisioning in optical networks. IET conference proceedings.. 2023(34). 1039–1042.
12.
Slyne, Frank, Sebastian Troìa, Tobias Fehenberger, et al.. (2023). Experimental Demonstration of ML-Based DWDM System Margin Estimation. mediaTUM (Technical University of Munich). 1 indexed citations
14.
Togou, Mohammed Amine, et al.. (2022). A Comprehensive Survey on Radio Resource Management in 5G HetNets: Current Solutions, Future Trends and Open Issues. IEEE Communications Surveys & Tutorials. 24(4). 2495–2534. 57 indexed citations
15.
Slyne, Frank, et al.. (2020). Virtualized EAST–WEST PON architecture supporting low-latency communication for mobile functional split based on multiaccess edge computing. Journal of Optical Communications and Networking. 12(10). D109–D109. 17 indexed citations
16.
Slamnik–Kriještorac, Nina, Haris Kremo, Marco Ruffini, & Johann M. Márquez-Barja. (2020). Sharing Distributed and Heterogeneous Resources toward End-to-End 5G Networks: A Comprehensive Survey and a Taxonomy. IEEE Communications Surveys & Tutorials. 22(3). 1592–1628. 49 indexed citations
17.
Slyne, Frank, et al.. (2019). Evolution of Access Network Sharing and Its Role in 5G Networks. Applied Sciences. 9(21). 4566–4566. 15 indexed citations
18.
Yin, Xin, Xing-Zhi Qiu, Guy Torfs, et al.. (2014). Performance evaluation of single carrier 40-Gbit/s downstream for long-reach passive optical networks. 162–167. 9 indexed citations
19.
Pal, Saptadeep, et al.. (2014). Cable length minimisation in long-reach-PON planning for sparsely populated areas. 234–239. 2 indexed citations
20.
Roggero, Marco, et al.. (2005). The application-based clustering concept and requirements for intervehicle networks. IEEE Communications Magazine. 43(4). 108–113. 55 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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