Stefano Secci

4.2k total citations · 1 hit paper
85 papers, 1.8k citations indexed

About

Stefano Secci is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Stefano Secci has authored 85 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Networks and Communications, 37 papers in Electrical and Electronic Engineering and 16 papers in Information Systems. Recurrent topics in Stefano Secci's work include Network Traffic and Congestion Control (25 papers), Software-Defined Networks and 5G (20 papers) and Advanced Optical Network Technologies (12 papers). Stefano Secci is often cited by papers focused on Network Traffic and Congestion Control (25 papers), Software-Defined Networks and 5G (20 papers) and Advanced Optical Network Technologies (12 papers). Stefano Secci collaborates with scholars based in France, Italy and United States. Stefano Secci's co-authors include Guy Pujolle, Marianna Belotti, Alberto Ceselli, Sahar Hoteit, Mathieu Bouet, Rami Langar, Guy Pujolle, Stanislav Sobolevsky, Carlo Ratti and Luís Henrique M. K. Costa and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Stefano Secci

76 papers receiving 1.7k citations

Hit Papers

A Vademecum on Blockchain Technologies: When, Which, and How 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Vademecum on Blockchain Technologies: When, Which, and How
    2019 297 citations Stefano Secci et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Secci France 21 1.4k 656 577 230 129 85 1.8k
Junde Song China 16 798 0.6× 468 0.7× 396 0.7× 233 1.0× 78 0.6× 230 1.3k
Franco Callegati Italy 25 1.5k 1.1× 1.5k 2.3× 381 0.7× 170 0.7× 115 0.9× 160 2.5k
Sghaier Guizani Saudi Arabia 12 955 0.7× 474 0.7× 262 0.5× 249 1.1× 64 0.5× 45 1.4k
Helen Tang Canada 16 1.2k 0.9× 668 1.0× 607 1.1× 324 1.4× 57 0.4× 56 1.8k
Fabián E. Bustamante United States 25 2.2k 1.6× 580 0.9× 353 0.6× 544 2.4× 92 0.7× 121 2.6k
Shoji Kasahara Japan 19 814 0.6× 425 0.6× 812 1.4× 424 1.8× 63 0.5× 104 1.6k
Raffaele Bolla Italy 20 1.8k 1.3× 1.2k 1.8× 332 0.6× 221 1.0× 67 0.5× 186 2.1k
Christian Prehofer Germany 20 937 0.7× 481 0.7× 281 0.5× 398 1.7× 50 0.4× 121 1.5k
Amirreza Niakanlahiji United States 8 846 0.6× 254 0.4× 468 0.8× 168 0.7× 48 0.4× 15 1.1k

Countries citing papers authored by Stefano Secci

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Secci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Secci

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Secci. A scholar is included among the top collaborators of Stefano Secci 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 Stefano Secci. Stefano Secci 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.
Velloso, Pedro B., et al.. (2025). Non-Terrestrial Disaggregated RAN: Prospective Architectures and Performance Insights. IEEE Network. 40(2). 319–326.
2.
Dang, Anh Duc, et al.. (2025). Data-driven Energy Optimization in Mobile Networks with User Experience Guarantees. SPIRE - Sciences Po Institutional REpository. 1–10.
3.
Hoteit, Sahar, et al.. (2025). On flexible association and placement in disaggregated RAN designs. Computer Communications. 238. 108166–108166.
4.
Dang, Khoa, et al.. (2024). Deep Reinforcement Learning for Joint Energy Saving and Traffic Handling in xG RAN. SPIRE - Sciences Po Institutional REpository. 4743–4748. 1 indexed citations
5.
Rocca, Gianni Della, et al.. (2024). Insights on the fungal communities associated with needle reddening of the endangered Abies nebrodensis. Journal of Plant Pathology. 106(3). 1051–1065.
6.
Addis, Bernardetta, et al.. (2024). Function Placement for In-network Federated Learning. Computer Networks. 256. 110900–110900.
7.
Guillemin, Fabrice, et al.. (2023). ELoRa: End-to-end Emulation of Massive IoT LoRaWAN Infrastructures. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–3. 5 indexed citations
8.
Secci, Stefano, et al.. (2022). An AI-Empowered Framework for Cross-Layer Softwarized Infrastructure State Assessment. IEEE Transactions on Network and Service Management. 19(4). 4434–4448. 7 indexed citations
9.
Blaise, Agathe, Mathieu Bouet, Vania Conan, & Stefano Secci. (2020). BotFP: FingerPrints Clustering for Bot Detection. HAL (Le Centre pour la Communication Scientifique Directe). 1–7. 13 indexed citations
10.
Zhao, Jin, et al.. (2017). ParaCon: A Parallel Control Plane for Scaling Up Path Computation in SDN. IEEE Transactions on Network and Service Management. 14(4). 978–990. 13 indexed citations
11.
Ceselli, Alberto, et al.. (2017). Mobile Edge Cloud Network Design Optimization. IEEE/ACM Transactions on Networking. 25(3). 1818–1831. 170 indexed citations
12.
Secci, Stefano, et al.. (2017). Bayesian diagnosis and reliability analysis of Private Mobile Radio networks. HAL (Le Centre pour la Communication Scientifique Directe). 94. 1245–1250. 3 indexed citations
13.
Hoteit, Sahar, et al.. (2017). Crowded spot estimator for urban cellular networks. Annals of Telecommunications. 72(11-12). 743–754. 2 indexed citations
14.
Contreras, Luis M., et al.. (2017). Extensions for Network-Assisted MPTCP Deployment Models. 2 indexed citations
15.
Secci, Stefano, et al.. (2016). Linking Virtual Machine Mobility to User Mobility. IEEE Transactions on Network and Service Management. 13(4). 927–940. 44 indexed citations
16.
Secci, Stefano, et al.. (2015). Transparent Cloud Access Performance Augmentation via an MPTCP-LISP Connection Proxy. 201–202. 5 indexed citations
17.
Secci, Stefano, et al.. (2011). Resilient Inter-Carrier Traffic Engineering for Internet Peering Interconnections. IEEE Transactions on Network and Service Management. 8(4). 274–284. 4 indexed citations
18.
Secci, Stefano, Jean‐Louis Rougier, & Achille Pattavina. (2008). On the selection of optimal diverse AS-paths for inter-domain IP/(G)MPLS tunnel provisioning. 23. 235–241. 15 indexed citations
19.
Sansò, Brunilde, et al.. (2008). Design Optimization of the Petaweb Architecture. IEEE/ACM Transactions on Networking. 17(1). 332–345. 6 indexed citations
20.
Sansò, Brunilde, et al.. (2006). Design Optimization of the Petaweb Architecture. Les Cahiers du GERAD. 1–37. 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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