Lorenzo Cavallaro

46 papers and 1.3k indexed citations i.

About

Lorenzo Cavallaro is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Lorenzo Cavallaro has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Signal Processing, 25 papers in Artificial Intelligence and 21 papers in Computer Networks and Communications. Recurrent topics in Lorenzo Cavallaro’s work include Advanced Malware Detection Techniques (35 papers), Network Security and Intrusion Detection (21 papers) and Security and Verification in Computing (10 papers). Lorenzo Cavallaro is often cited by papers focused on Advanced Malware Detection Techniques (35 papers), Network Security and Intrusion Detection (21 papers) and Security and Verification in Computing (10 papers). Lorenzo Cavallaro collaborates with scholars based in United Kingdom, Italy and Argentina. Lorenzo Cavallaro's co-authors include Kimberly Tam, Aristide Fattori, Guillermo Suárez‐Tangil, Santanu Kumar Dash, Johannes Kinder, Rodolfo Campos, Graciela Ferraro, Feargus Pendlebury, Fabio Pierazzi and Nor Badrul Anuar and has published in prestigious journals such as Journal of Ethnopharmacology, ACM Computing Surveys and Current Medicinal Chemistry.

In The Last Decade

Co-authorship network of co-authors of Lorenzo Cavallaro i

Fields of papers citing papers by Lorenzo Cavallaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lorenzo Cavallaro

Since Specialization
Citations

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