Filippo Rebecchi

673 total citations · 1 hit paper
13 papers, 368 citations indexed

About

Filippo Rebecchi is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Filippo Rebecchi has authored 13 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 3 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Filippo Rebecchi's work include Software-Defined Networks and 5G (6 papers), Opportunistic and Delay-Tolerant Networks (6 papers) and Network Security and Intrusion Detection (6 papers). Filippo Rebecchi is often cited by papers focused on Software-Defined Networks and 5G (6 papers), Opportunistic and Delay-Tolerant Networks (6 papers) and Network Security and Intrusion Detection (6 papers). Filippo Rebecchi collaborates with scholars based in France, Italy and Australia. Filippo Rebecchi's co-authors include Vania Conan, Marcelo Dias de Amorim, Andrea Passarella, Raffaele Bruno, Marco Conti, Mathieu Bouet, Agathe Blaise, Fabio Massacci, B. Chandrasekaran and Stefano Busanelli and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Computer Networks and Computer Communications.

In The Last Decade

Filippo Rebecchi

11 papers receiving 352 citations

Hit Papers

align trajectories

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.

Data Offloading Techniques in Cellular Networks: A Survey

2014 246 citations Filippo Rebecchi, Marcelo Dias de Amorim et al. IEEE Communications Surveys & Tutorials profile →

Peers

Filippo Rebecchi

CNC

EEE

AI

IS

TRANS

Ramy Atawia Canada

Zengwen Yuan United States

Prosper Chemouil France

Luís Cordeiro Portugal

Khaleel Ur Rahman Khan India

Zhipeng Cheng China

Marco Liebsch Germany

Sabrina Klos Germany

Ramon dos Reis Fontes Brazil

Jihoon Lee South Korea

Ramy Atawia Canada

Filippo Rebecchi

180 ×0.6

CNC

203 ×1.0

EEE

30 ×0.7

AI

9 ×0.3

IS

16 ×0.6

TRANS

Citations per year, relative to Filippo Rebecchi Filippo Rebecchi (= 1×) peers Ramy Atawia

Countries citing papers authored by Filippo Rebecchi

Since Specialization

Citations

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

Fields of papers citing papers by Filippo Rebecchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippo Rebecchi

This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Rebecchi. A scholar is included among the top collaborators of Filippo Rebecchi 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 Filippo Rebecchi. Filippo Rebecchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Rebecchi, Filippo, et al.. (2024). Moving Target Defense for Cloud-Native Applications. 130–137.

2.

Rebecchi, Filippo, et al.. (2024). Revealing the Threat Landscape of Intent-based Management in O-RAN. 106–113. 3 indexed citations

3.

Rebecchi, Filippo, et al.. (2024). Measuring Security Posture in 5G and Future Networks. 391–398.

4.

Blaise, Agathe, et al.. (2022). Learning State Machines to Monitor and Detect Anomalies on a Kubernetes Cluster. arXiv (Cornell University). 1–9. 12 indexed citations

5.

Rebecchi, Filippo, Antonio Pastor, Alberto Mozó, et al.. (2022). A Digital Twin for the 5G Era: the SPIDER Cyber Range. CINECA IRIS Institutial Research Information System (University of Genoa). 567–572. 15 indexed citations

6.

Blaise, Agathe, et al.. (2021). Understanding the Security Implications of Kubernetes Networking. IEEE Security & Privacy. 19(5). 46–56. 21 indexed citations

7.

Rebecchi, Filippo, et al.. (2018). DDoS protection with stateful software‐defined networking. International Journal of Network Management. 29(1). 17 indexed citations

8.

Rebecchi, Filippo, et al.. (2017). Traffic monitoring and DDoS detection using stateful SDN. 1–2. 21 indexed citations

9.

Rebecchi, Filippo, Marcelo Dias de Amorim, & Vania Conan. (2016). Circumventing plateaux in cellular data offloading using adaptive content reinjection. Computer Networks. 106. 49–63. 4 indexed citations

10.

Rebecchi, Filippo, et al.. (2015). A joint multicast/D2D learning-based approach to LTE traffic offloading. Computer Communications. 72. 26–37. 13 indexed citations

11.

Benbadis, Farid, et al.. (2014). Demo. 85–88. 1 indexed citations

12.

Rebecchi, Filippo, Marcelo Dias de Amorim, Vania Conan, et al.. (2014). Data Offloading Techniques in Cellular Networks: A Survey. IEEE Communications Surveys & Tutorials. 17(2). 580–603. 246 indexed citations breakdown →

13.

Busanelli, Stefano, et al.. (2013). Cross-Network Information Dissemination in Vehicular Ad hoc Networks (VANETs): Experimental Results from a Smartphone-Based Testbed. Future Internet. 5(3). 398–428. 15 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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