Francesco Pinciroli

87 papers and 719 indexed citations i.

About

Francesco Pinciroli is a scholar working on Health Information Management, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Francesco Pinciroli has authored 87 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Health Information Management, 21 papers in Molecular Biology and 21 papers in Artificial Intelligence. Recurrent topics in Francesco Pinciroli’s work include Electronic Health Records Systems (21 papers), Semantic Web and Ontologies (19 papers) and Biomedical Text Mining and Ontologies (17 papers). Francesco Pinciroli is often cited by papers focused on Electronic Health Records Systems (21 papers), Semantic Web and Ontologies (19 papers) and Biomedical Text Mining and Ontologies (17 papers). Francesco Pinciroli collaborates with scholars based in Italy, Sweden and United States. Francesco Pinciroli's co-authors include Marco Masseroli, Carlo Combi, Stefano Bonacina, Sara Marceglia, Giuseppe Pozzi, Gabriella Tognola, Alessia Paglialonga, Luca Mazzola, Mariano Corso and Alfonso Fuggetta and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Francesco Pinciroli i

Fields of papers citing papers by Francesco Pinciroli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Pinciroli

Since Specialization
Citations

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