Mariano Graziano

7 papers and 149 indexed citations i.

About

Mariano Graziano is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Mariano Graziano has authored 7 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Signal Processing, 5 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in Mariano Graziano’s work include Advanced Malware Detection Techniques (7 papers), Network Security and Intrusion Detection (5 papers) and Security and Verification in Computing (3 papers). Mariano Graziano is often cited by papers focused on Advanced Malware Detection Techniques (7 papers), Network Security and Intrusion Detection (5 papers) and Security and Verification in Computing (3 papers). Mariano Graziano collaborates with scholars based in United States, France and Italy. Mariano Graziano's co-authors include Davide Balzarotti, Yanick Fratantonio, Xabier Ugarte-Pedrero, Andrea Lanzi, Davide Canali, Leyla Bilge, Riccardo Spolaor, Ivan Martinović, Flavio Toffalini and Mario Fritz and has published in prestigious journals such as ACM Transactions on Privacy and Security, Forensic Science International Digital Investigation and USENIX Security Symposium.

In The Last Decade

Co-authorship network of co-authors of Mariano Graziano i

Fields of papers citing papers by Mariano Graziano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mariano Graziano

Since Specialization
Citations

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