Gianluca Amato

32 papers and 477 indexed citations i.

About

Gianluca Amato is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gianluca Amato has authored 32 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gianluca Amato’s work include Logic, programming, and type systems (11 papers), Formal Methods in Verification (8 papers) and Nerve injury and regeneration (7 papers). Gianluca Amato is often cited by papers focused on Logic, programming, and type systems (11 papers), Formal Methods in Verification (8 papers) and Nerve injury and regeneration (7 papers). Gianluca Amato collaborates with scholars based in Italy, United States and Germany. Gianluca Amato's co-authors include Simona Capsoni, Antonino Cattaneo, Domenico Vignone, Francesca Scozzari, Cecilia Tiveron, Marcello Ceci, Francesca Paoletti, Flaminia Pavone, Sara Marinelli and Sonia Covaceuszach and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Gianluca Amato i

Fields of papers citing papers by Gianluca Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gianluca Amato

Since Specialization
Citations

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