Salvatore Ruggieri

106 papers and 4.0k indexed citations i.

About

Salvatore Ruggieri is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Salvatore Ruggieri has authored 106 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 33 papers in Molecular Biology and 16 papers in Information Systems. Recurrent topics in Salvatore Ruggieri’s work include Lipid metabolism and biosynthesis (12 papers), Logic, programming, and type systems (11 papers) and Glycosylation and Glycoproteins Research (11 papers). Salvatore Ruggieri is often cited by papers focused on Lipid metabolism and biosynthesis (12 papers), Logic, programming, and type systems (11 papers) and Glycosylation and Glycoproteins Research (11 papers). Salvatore Ruggieri collaborates with scholars based in Italy, Germany and United States. Salvatore Ruggieri's co-authors include Franco Turini, Dino Pedreschi, Riccardo Guidotti, Fosca Giannotti, Anna Monreale, Andrea Romei, Gabriele Mugnai, Lido Calorini, Antonella Mannini and Donatella Tombaccini and has published in prestigious journals such as Stroke, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Salvatore Ruggieri i

Fields of papers citing papers by Salvatore Ruggieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Salvatore Ruggieri

Since Specialization
Citations

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