Franco Scarselli

62 papers and 6.5k indexed citations i.

About

Franco Scarselli is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Franco Scarselli has authored 62 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Franco Scarselli’s work include Neural Networks and Applications (19 papers), Advanced Graph Neural Networks (18 papers) and Graph Theory and Algorithms (8 papers). Franco Scarselli is often cited by papers focused on Neural Networks and Applications (19 papers), Advanced Graph Neural Networks (18 papers) and Graph Theory and Algorithms (8 papers). Franco Scarselli collaborates with scholars based in Italy, Australia and China. Franco Scarselli's co-authors include Gabriele Monfardini, Ah Chung Tsoi, Markus Hagenbuchner, M. Gori, Marco Gori, Monica Bianchini, Marco Maggini, Paolo Andreini, Simone Bonechi and Lorenzo Sarti and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Molecular Sciences and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Franco Scarselli i

Fields of papers citing papers by Franco Scarselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Franco Scarselli

Since Specialization
Citations

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