R. Luzzi

About

R. Luzzi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, R. Luzzi has authored 19 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Electrical and Electronic Engineering. Recurrent topics in R. Luzzi’s work include Cryptographic Implementations and Security (11 papers), Chaos-based Image/Signal Encryption (10 papers) and Radio Frequency Integrated Circuit Design (6 papers). R. Luzzi is often cited by papers focused on Cryptographic Implementations and Security (11 papers), Chaos-based Image/Signal Encryption (10 papers) and Radio Frequency Integrated Circuit Design (6 papers). R. Luzzi collaborates with scholars based in Italy, Austria and Germany. R. Luzzi's co-authors include Marco Bucci, Alessandro Trifiletti, Luca Giancane, Giuseppe Scotti, Pasquale Tommasino, Elena Trichina, Mauro Olivieri, Francesco Centurelli, Francesco Menichelli and Rémy Leblanc and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Co-authorship network of co-authors of R. Luzzi i

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Fields of papers citing papers by R. Luzzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by R. Luzzi

Since Specialization

Citations

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