Riccardo Mazza

13 papers and 296 indexed citations i.

About

Riccardo Mazza is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Riccardo Mazza has authored 13 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Electrical and Electronic Engineering, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Science Applications. Recurrent topics in Riccardo Mazza’s work include Online Learning and Analytics (3 papers), Data Visualization and Analytics (2 papers) and Multimedia Communication and Technology (2 papers). Riccardo Mazza is often cited by papers focused on Online Learning and Analytics (3 papers), Data Visualization and Analytics (2 papers) and Multimedia Communication and Technology (2 papers). Riccardo Mazza collaborates with scholars based in Switzerland, United Kingdom and Italy. Riccardo Mazza's co-authors include Vania Dimitrova, Luca Botturi, Egīls Ginters, Luciano Cantelli, Giovanni Muscato, Gianluca Padula, Salvatore Livatino, Luca Mazzola, Carmelo Donato Melita and Sylvia Titze and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and International Journal of Human-Computer Studies.

In The Last Decade

Co-authorship network of co-authors of Riccardo Mazza i

Fields of papers citing papers by Riccardo Mazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Riccardo Mazza

Since Specialization
Citations

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