Claudio Squarcella
Impact in
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- Network Security and Intrusion Detection
- Caching and Content Delivery
- Network Traffic and Congestion Control
- Software-Defined Networks and 5G
- Peer-to-Peer Network Technologies
- Artificial Intelligence top 10%
- Internet Traffic Analysis and Secure E-voting
Papers in
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- Peer-to-Peer Network Technologies 4
- Network Security and Intrusion Detection 4
- Network Traffic and Congestion Control 2
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- Internet Traffic Analysis and Secure E-voting 5
- Co-authors
- kc claffy (2 shared papers)Emile Aben (2 shared papers)Antonio Pescapè (2 shared papers)Alberto Dainotti (2 shared papers)Marco Chiesa (3 shared papers)Michele Russo (2 shared papers)Giuseppe Di Battista (5 shared papers)Alessandro Micarelli (1 shared paper)
In The Last Decade
Claudio Squarcella
11 papers receiving 177 citations
Peers
Comparison fields: 5 of 43
- Computer Networks and Communications 127
- Artificial Intelligence 106
- Signal Processing 33
- Communication 15
- Statistical and Nonlinear Physics 19
Countries citing papers authored by Claudio Squarcella
This map shows the geographic impact of Claudio Squarcella'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 Claudio Squarcella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Squarcella more than expected).
Fields of papers citing papers by Claudio Squarcella
This network shows the impact of papers produced by Claudio Squarcella. 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 Claudio Squarcella. The network helps show where Claudio Squarcella may publish in the future.
Co-authors
The 17 scholars most cited alongside Claudio Squarcella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 136 | |
| 2 | 2014 | 27 | |
| 3 | 2015 | 8 | |
| 4 | 2017 | 6 | |
| 5 | 2008 | 6 | |
| 6 | 2016 | 5 | |
| 7 | 2015 | 3 | |
| 8 | 2019 | 3 | |
| 9 | 2012 | 1 | |
| 10 | 2018 | 1 | |
| 11 | 2013 | 1 | |
| 12 | 2012 | 0 |
About Claudio Squarcella
Claudio Squarcella is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Hardware and Architecture, having authored 12 papers that have together received 197 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (5 papers), Peer-to-Peer Network Technologies (4 papers), Network Security and Intrusion Detection (4 papers), Complex Network Analysis Techniques (3 papers), Data Visualization and Analytics (3 papers), Computational Geometry and Mesh Generation (2 papers), Network Traffic and Congestion Control (2 papers) and Network Packet Processing and Optimization (2 papers). The work is most often cited by research in Computer Networks and Communications (127 citations), Artificial Intelligence (106 citations), Signal Processing (33 citations), Communication (15 citations) and Statistical and Nonlinear Physics (19 citations). Claudio Squarcella has collaborated with scholars based in Italy, Germany and Australia. Frequent co-authors include kc claffy, Emile Aben, Antonio Pescapè, Alberto Dainotti, Marco Chiesa, Michele Russo, Giuseppe Di Battista, Alessandro Micarelli, Maurizio Patrignani and Massimo Rimondini. Their work appears in journals such as IEEE/ACM Transactions on Networking, Journal of Graph Algorithms and Applications, IEEE Transactions on Visualization and Computer Graphics, Computational Geometry and Computing.
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.