Roberto Perdisci

About

Roberto Perdisci is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Roberto Perdisci has authored 27 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 24 papers in Computer Networks and Communications and 15 papers in Signal Processing. Recurrent topics in Roberto Perdisci’s work include Network Security and Intrusion Detection (24 papers), Internet Traffic Analysis and Secure E-voting (22 papers) and Advanced Malware Detection Techniques (15 papers). Roberto Perdisci is often cited by papers focused on Network Security and Intrusion Detection (24 papers), Internet Traffic Analysis and Secure E-voting (22 papers) and Advanced Malware Detection Techniques (15 papers). Roberto Perdisci collaborates with scholars based in United States, Italy and Hong Kong. Roberto Perdisci's co-authors include Wenke Lee, David Dagon, Giorgio Giacinto, Manos Antonakakis, Junjie Zhang, Guofei Gu, Nick Feamster, Prahlad Fogla, Fabio Roli and Nikolaos Vasiloglou and has published in prestigious journals such as Information Fusion, Pattern Recognition Letters and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Co-authorship network of co-authors of Roberto Perdisci i

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Fields of papers citing papers by Roberto Perdisci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roberto Perdisci

Since Specialization

Citations

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

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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