Fabio Fassetti

About

Fabio Fassetti is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Fabio Fassetti has authored 24 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 5 papers in Signal Processing. Recurrent topics in Fabio Fassetti’s work include Anomaly Detection Techniques and Applications (14 papers), Network Security and Intrusion Detection (7 papers) and Imbalanced Data Classification Techniques (5 papers). Fabio Fassetti is often cited by papers focused on Anomaly Detection Techniques and Applications (14 papers), Network Security and Intrusion Detection (7 papers) and Imbalanced Data Classification Techniques (5 papers). Fabio Fassetti collaborates with scholars based in Italy, India and United Kingdom. Fabio Fassetti's co-authors include Fabrizio Angiulli, Luigi Palopoli, Giuseppe Manco, Gianluigi Greco, Giorgio Terracina, Angelo Furfaro, Domenico Saccà, Dino Pedreschi, Massimo Guarascio and Adolfo Saiardi and has published in prestigious journals such as Artificial Intelligence, Machine Learning and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Fabio Fassetti i

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Fields of papers citing papers by Fabio Fassetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabio Fassetti

Since Specialization

Citations

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