Bernardo Magnini

81 papers and 1.0k indexed citations i.

About

Bernardo Magnini is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Bernardo Magnini has authored 81 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 8 papers in Information Systems and 5 papers in Molecular Biology. Recurrent topics in Bernardo Magnini’s work include Natural Language Processing Techniques (58 papers), Topic Modeling (48 papers) and Semantic Web and Ontologies (26 papers). Bernardo Magnini is often cited by papers focused on Natural Language Processing Techniques (58 papers), Topic Modeling (48 papers) and Semantic Web and Ontologies (26 papers). Bernardo Magnini collaborates with scholars based in Italy, United States and Spain. Bernardo Magnini's co-authors include Ido Dagan, Bill Dolan, Danilo Giampiccolo, Carlo Strapparava, Alfio Gliozzo, Dan Roth, Giovanni Pezzulo, Hristo Tanev, Matteo Negri and Satoshi Sekine and has published in prestigious journals such as Computers & Mathematics with Applications, Lecture notes in computer science and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Bernardo Magnini i

Fields of papers citing papers by Bernardo Magnini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bernardo Magnini

Since Specialization
Citations

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