Thomas Favale

659 total citations · 1 hit paper
9 papers, 416 citations indexed

About

Thomas Favale is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Thomas Favale has authored 9 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 2 papers in Sociology and Political Science. Recurrent topics in Thomas Favale's work include Internet Traffic Analysis and Secure E-voting (6 papers), Network Security and Intrusion Detection (4 papers) and Privacy-Preserving Technologies in Data (3 papers). Thomas Favale is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (6 papers), Network Security and Intrusion Detection (4 papers) and Privacy-Preserving Technologies in Data (3 papers). Thomas Favale collaborates with scholars based in Italy, Germany and Spain. Thomas Favale's co-authors include Marco Mellia, Idílio Drago, Martino Trevisan, Francesca Soro, Danilo Giordano, Luca Vassio, Dario Rossi, Florian Wamser, Tobias Hoßfeld and Luca Cagliero and has published in prestigious journals such as Computer Networks, IEEE Transactions on Network and Service Management and arXiv (Cornell University).

In The Last Decade

Thomas Favale

9 papers receiving 385 citations

Hit Papers

Campus traffic and e-Learning during COVID-19 pandemic 2020 2026 2022 2024 2020 100 200 300
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. Campus traffic and e-Learning during COVID-19 pandemic
    2020 394 citations Thomas Favale, Francesca Soro et al. Computer Networks profile →

Peers

Thomas Favale
Francesca Soro Italy
Ebitisam K. Elberkawi Libya
Mahmoud M. El-Khouly Egypt
Alex Buckley United Kingdom
Joshua Ebere Chukwuere South Africa
Renzhe Yu United States
Marguerite Wotto Canada
Bo Chang United States
Richard Glassey Sweden
Sujit Kumar Basak South Africa
Francesca Soro Italy
Thomas Favale
Citations per year, relative to Thomas Favale Thomas Favale (= 1×) peers Francesca Soro

Countries citing papers authored by Thomas Favale

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Favale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Favale

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

All Works

9 of 9 papers shown
1.
Geißler, Stefan, Andra Lutu, Florian Wamser, et al.. (2024). Untangling IoT Global Connectivity: The Importance of Mobile Signaling Traffic. IEEE Transactions on Network and Service Management. 21(4). 4435–4449. 3 indexed citations
2.
Soro, Francesca, Thomas Favale, Danilo Giordano, et al.. (2023). Enlightening the Darknets: Augmenting Darknet Visibility With Active Probes. IEEE Transactions on Network and Service Management. 20(4). 5012–5025. 5 indexed citations
3.
Favale, Thomas, et al.. (2022). Legal Entity Disambiguation for Financial Crime Detection. 2022 IEEE International Conference on Big Data (Big Data). 6639–6641. 1 indexed citations
4.
Favale, Thomas, Danilo Giordano, Idílio Drago, & Marco Mellia. (2022). What Scanners do at L7? Exploring Horizontal Honeypots for Security Monitoring. 307–313. 1 indexed citations
5.
Favale, Thomas, Martino Trevisan, Idílio Drago, & Marco Mellia. (2021). α-MON: Traffic Anonymizer for Passive Monitoring. IEEE Transactions on Network and Service Management. 18(2). 1233–1245. 3 indexed citations
6.
Favale, Thomas, et al.. (2021). DPI Solutions in Practice: Benchmark and Comparison. 37–42. 2 indexed citations
7.
Favale, Thomas, Francesca Soro, Martino Trevisan, Idílio Drago, & Marco Mellia. (2020). Campus traffic and e-Learning during COVID-19 pandemic. Computer Networks. 176. 107290–107290. 394 indexed citations breakdown →
8.
Favale, Thomas, Martino Trevisan, Idílio Drago, & Marco Mellia. (2020). α-MON: Anonymized Passive Traffic Monitoring. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 10–18. 2 indexed citations
9.
Favale, Thomas, et al.. (2020). z-anonymity: Zero-Delay Anonymization for Data Streams. arXiv (Cornell University). 5 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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