Gianni Fenu

68 papers and 922 indexed citations i.

About

Gianni Fenu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gianni Fenu has authored 68 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 20 papers in Information Systems and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gianni Fenu’s work include Recommender Systems and Techniques (11 papers), Advanced Graph Neural Networks (7 papers) and Smart Agriculture and AI (6 papers). Gianni Fenu is often cited by papers focused on Recommender Systems and Techniques (11 papers), Advanced Graph Neural Networks (7 papers) and Smart Agriculture and AI (6 papers). Gianni Fenu collaborates with scholars based in Italy, United States and Switzerland. Gianni Fenu's co-authors include Ludovico Boratto, Mirko Marras, Francesca Maridina Malloci, Salvatore Carta, Diego Reforgiato Recupero, Roberto Saia, Lodovica Marchesi, Roberto Tonelli, Michele Marchesi and Danilo Dessı̀ and has published in prestigious journals such as Computers in Human Behavior, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Gianni Fenu i

Fields of papers citing papers by Gianni Fenu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gianni Fenu

Since Specialization
Citations

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