Francesco Barbieri

35 papers and 910 indexed citations i.

About

Francesco Barbieri is a scholar working on Artificial Intelligence, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francesco Barbieri has authored 35 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 6 papers in Human-Computer Interaction and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francesco Barbieri’s work include Sentiment Analysis and Opinion Mining (21 papers), Topic Modeling (13 papers) and Natural Language Processing Techniques (7 papers). Francesco Barbieri is often cited by papers focused on Sentiment Analysis and Opinion Mining (21 papers), Topic Modeling (13 papers) and Natural Language Processing Techniques (7 papers). Francesco Barbieri collaborates with scholars based in Spain, United States and United Kingdom. Francesco Barbieri's co-authors include Horacio Saggion, Luis Espinosa-Anke, Francesco Ronzano, José Camacho-Collados, Leonardo Neves, Oriol Nieto, Sergio Oramas, Xavier Serra, Leonardo Neves and Germán Kruszewski and has published in prestigious journals such as IEEE Transactions on Affective Computing, Language Resources and Evaluation and Journal Of Big Data.

In The Last Decade

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

Fields of papers citing papers by Francesco Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Barbieri

Since Specialization
Citations

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