Mario Polino

18 papers and 483 indexed citations i.

About

Mario Polino is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Mario Polino has authored 18 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Signal Processing and 6 papers in Computer Networks and Communications. Recurrent topics in Mario Polino’s work include Advanced Malware Detection Techniques (10 papers), Network Security and Intrusion Detection (5 papers) and Security and Verification in Computing (5 papers). Mario Polino is often cited by papers focused on Advanced Malware Detection Techniques (10 papers), Network Security and Intrusion Detection (5 papers) and Security and Verification in Computing (5 papers). Mario Polino collaborates with scholars based in Italy, United States and The Netherlands. Mario Polino's co-authors include Giovanni Vigna, Christopher Kruegel, Stefano Zanero, Christopher Salls, Christophe Hauser, Yan Shoshitaishvili, Ruoyu Wang, Federico Maggi, Andrea Maria Zanchettin and Andrea Continella and has published in prestigious journals such as IEEE Access, Computers & Security and IEEE Transactions on Emerging Topics in Computing.

In The Last Decade

Co-authorship network of co-authors of Mario Polino i

Fields of papers citing papers by Mario Polino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Polino

Since Specialization
Citations

This map shows the geographic impact of Mario Polino'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 Mario Polino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Polino 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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2025