Paolo Garza

78 papers and 740 indexed citations i.

About

Paolo Garza is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Paolo Garza has authored 78 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 33 papers in Information Systems and 20 papers in Signal Processing. Recurrent topics in Paolo Garza’s work include Data Mining Algorithms and Applications (28 papers), Data Management and Algorithms (14 papers) and Network Security and Intrusion Detection (10 papers). Paolo Garza is often cited by papers focused on Data Mining Algorithms and Applications (28 papers), Data Management and Algorithms (14 papers) and Network Security and Intrusion Detection (10 papers). Paolo Garza collaborates with scholars based in Italy, United States and France. Paolo Garza's co-authors include Luca Cagliero, Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Daniele Apiletti, Alessandro Fiori, Elisa Quintarelli, Marco Marchetti, Xin Xiao and Giulia Bruno and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Co-authorship network of co-authors of Paolo Garza i

Fields of papers citing papers by Paolo Garza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paolo Garza

Since Specialization
Citations

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