Fabio Pierazzi
- Computer Networks and Communications top 5%
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Software top 5%
- Co-authors
- Michele ColajanniMirco MarchettiV. S. SubrahmanianAlessandro GuidoTanmoy ChakrabortyLorenzo CavallaroFeargus PendleburyGiovanni Apruzzese
- Topics
- Advanced Malware Detection Techniques (25 papers)Network Security and Intrusion Detection (21 papers)Adversarial Robustness in Machine Learning (8 papers)
- Journals
- Communications of the ACMIEEE Transactions on Information Forensics and SecurityComputer Networks
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Fabio Pierazzi
31 papers receiving 500 citations
Peers
Comparison fields: 5 of 44
- Computer Networks and Communications 366
- Signal Processing 302
- Artificial Intelligence 248
- Information Systems 216
- Software 55
Countries citing papers authored by Fabio Pierazzi
This map shows the geographic impact of Fabio Pierazzi'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 Fabio Pierazzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Pierazzi more than expected).
Fields of papers citing papers by Fabio Pierazzi
This network shows the impact of papers produced by Fabio Pierazzi. 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 Fabio Pierazzi. The network helps show where Fabio Pierazzi may publish in the future.
Co-authorship network of co-authors of Fabio Pierazzi
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Pierazzi. A scholar is included among the top collaborators of Fabio Pierazzi 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 Fabio Pierazzi. Fabio Pierazzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 33 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 8 | |
| 12 | 14 | |
| 13 | 3 | |
| 14 | 83 | |
| 15 | 27 | |
| 16 | 23 | |
| 17 | 12 | |
| 18 | 111 | |
| 19 | 15 | |
| 20 | Security and Confidentiality Solutions for Public Cloud Database Services | 8 |
About Fabio Pierazzi
Fabio Pierazzi is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 34 papers that have together received 519 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (25 papers), Network Security and Intrusion Detection (21 papers) and Adversarial Robustness in Machine Learning (8 papers). The work is most often cited by research in Signal Processing (302 citations), Computer Networks and Communications (366 citations) and Software (55 citations). Fabio Pierazzi has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Michele Colajanni, Mirco Marchetti, V. S. Subrahmanian, Alessandro Guido, Tanmoy Chakraborty, Lorenzo Cavallaro, Feargus Pendlebury, Giovanni Apruzzese, Luca Ferretti and Giuseppina Andresini. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Information Forensics and Security and Computer Networks.
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.