Sergio Storari

13 papers and 144 indexed citations i.

About

Sergio Storari is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Sergio Storari has authored 13 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Information Systems. Recurrent topics in Sergio Storari’s work include Business Process Modeling and Analysis (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Clinical practice guidelines implementation (2 papers). Sergio Storari is often cited by papers focused on Business Process Modeling and Analysis (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Clinical practice guidelines implementation (2 papers). Sergio Storari collaborates with scholars based in Italy and The Netherlands. Sergio Storari's co-authors include Paola Mello, Marco Montali, Federico Chesani, Wil M. P. van der Aalst, Maja Pešić, Evelina Lamma, Fabrizio Riguzzi, Stefano Volinia, Giacomo Gamberoni and Anna Nanetti and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Sergio Storari i

Fields of papers citing papers by Sergio Storari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sergio Storari

Since Specialization
Citations

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