Fabio Rinaldi

72 papers and 953 indexed citations i.

About

Fabio Rinaldi is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Fabio Rinaldi has authored 72 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 45 papers in Molecular Biology and 3 papers in Management Science and Operations Research. Recurrent topics in Fabio Rinaldi’s work include Biomedical Text Mining and Ontologies (44 papers), Topic Modeling (34 papers) and Natural Language Processing Techniques (27 papers). Fabio Rinaldi is often cited by papers focused on Biomedical Text Mining and Ontologies (44 papers), Topic Modeling (34 papers) and Natural Language Processing Techniques (27 papers). Fabio Rinaldi collaborates with scholars based in Switzerland, Italy and United States. Fabio Rinaldi's co-authors include Simon Clematide, Gerold Schneider, Kaarel Kaljurand, Alberto Lavelli, Seyedmostafa Sheikhalishahi, Riccardo Miotto, Venet Osmani, Joel T. Dudley, James Dowdall and Martin Romacker and has published in prestigious journals such as Genome biology, BMC Bioinformatics and Journal of Medical Internet Research.

In The Last Decade

Co-authorship network of co-authors of Fabio Rinaldi i

Fields of papers citing papers by Fabio Rinaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabio Rinaldi

Since Specialization
Citations

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