Gianni Fenu

236 total papers · 3.1k total citations
114 papers, 1.5k citations indexed

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 114 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 33 papers in Information Systems and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gianni Fenu's work include Recommender Systems and Techniques (15 papers), Advanced Graph Neural Networks (13 papers) and Topic Modeling (11 papers). Gianni Fenu is often cited by papers focused on Recommender Systems and Techniques (15 papers), Advanced Graph Neural Networks (13 papers) and Topic Modeling (11 papers). Gianni Fenu collaborates with scholars based in Italy, Spain and United States. Gianni Fenu's co-authors include Francesca Maridina Malloci, Mirko Marras, Ludovico Boratto, Salvatore Carta, Roberto Saia, Diego Reforgiato Recupero, Francesco Aymerich, Danilo Dessı̀, Lucio Davide Spano and Silvio Barra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and IEEE Access.

In The Last Decade

Gianni Fenu

100 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gianni Fenu 508 440 261 194 182 114 1.5k
Guy Shani 539 1.1× 759 1.7× 260 1.0× 285 1.5× 240 1.3× 98 1.9k
Dharavath Ramesh 506 1.0× 493 1.1× 296 1.1× 98 0.5× 328 1.8× 130 1.6k
Amandeep Kaur 231 0.5× 358 0.8× 313 1.2× 223 1.1× 247 1.4× 158 1.6k
Babar Shah 415 0.8× 475 1.1× 364 1.4× 213 1.1× 619 3.4× 117 2.2k
Deepali Gupta 328 0.6× 358 0.8× 236 0.9× 241 1.2× 333 1.8× 185 1.6k
Emmanuel Gbenga Dada 287 0.6× 406 0.9× 124 0.5× 130 0.7× 202 1.1× 51 1.3k
Dongil Han 256 0.5× 343 0.8× 184 0.7× 365 1.9× 242 1.3× 94 1.5k
Paulus Insap Santosa 464 0.9× 401 0.9× 91 0.3× 158 0.8× 328 1.8× 181 1.7k
Mabrook Al‐Rakhami 550 1.1× 609 1.4× 138 0.5× 245 1.3× 543 3.0× 75 2.2k
Sandeep Kumar 210 0.4× 337 0.8× 213 0.8× 460 2.4× 222 1.2× 115 1.5k

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).

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.

Co-authorship network of co-authors of Gianni Fenu

This figure shows the co-authorship network connecting the top 25 collaborators of Gianni Fenu. A scholar is included among the top collaborators of Gianni Fenu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gianni Fenu. Gianni Fenu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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