Mario Di Mauro

40 papers and 584 indexed citations i.

About

Mario Di Mauro is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Mario Di Mauro has authored 40 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Networks and Communications, 13 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Mario Di Mauro’s work include Network Security and Intrusion Detection (15 papers), Software-Defined Networks and 5G (13 papers) and Advanced Malware Detection Techniques (9 papers). Mario Di Mauro is often cited by papers focused on Network Security and Intrusion Detection (15 papers), Software-Defined Networks and 5G (13 papers) and Advanced Malware Detection Techniques (9 papers). Mario Di Mauro collaborates with scholars based in Italy, United Kingdom and China. Mario Di Mauro's co-authors include Antonio Liotta, Giancarlo Fortino, Vincenzo Matta, M. Longo, Ovidiu Bagdasar, F. Postiglione, Min Chen, Wei Song, Darren Lumbroso and Karin de Bruijn and has published in prestigious journals such as IEEE Communications Magazine, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Mario Di Mauro i

Fields of papers citing papers by Mario Di Mauro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Di Mauro

Since Specialization
Citations

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