Michele Bevilacqua

12 papers and 254 indexed citations i.

About

Michele Bevilacqua is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Michele Bevilacqua has authored 12 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Michele Bevilacqua’s work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (3 papers). Michele Bevilacqua is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (3 papers). Michele Bevilacqua collaborates with scholars based in Italy, Denmark and Finland. Michele Bevilacqua's co-authors include Roberto Navigli, Tommaso Pasini, Alessandro Raganato, Simone Conia, Francesco Cecconi and Björn Roß and has published in prestigious journals such as IRIS Research product catalog (Sapienza University of Rome), Proceedings of the AAAI Conference on Artificial Intelligence and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Michele Bevilacqua i

Fields of papers citing papers by Michele Bevilacqua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michele Bevilacqua

Since Specialization
Citations

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