Massimo Guarascio

47 papers and 399 indexed citations i.

About

Massimo Guarascio is a scholar working on Artificial Intelligence, Computer Networks and Communications and Civil and Structural Engineering. According to data from OpenAlex, Massimo Guarascio has authored 47 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 8 papers in Civil and Structural Engineering. Recurrent topics in Massimo Guarascio’s work include Network Security and Intrusion Detection (7 papers), Business Process Modeling and Analysis (6 papers) and Anomaly Detection Techniques and Applications (6 papers). Massimo Guarascio is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Business Process Modeling and Analysis (6 papers) and Anomaly Detection Techniques and Applications (6 papers). Massimo Guarascio collaborates with scholars based in Italy, Brazil and Canada. Massimo Guarascio's co-authors include Francesco Folino, Geoffrey S. Watson, Michel David, Luigi Pontieri, Gianluigi Folino, Mara Lombardi, Alfredo Cuzzocrea, Giulio Sciarra, Maria Zucconi and Pierpaolo Oreste and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Massimo Guarascio i

Fields of papers citing papers by Massimo Guarascio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Guarascio

Since Specialization
Citations

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