Raffaella Bernardi

59 papers and 1.1k indexed citations i.

About

Raffaella Bernardi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Raffaella Bernardi has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Raffaella Bernardi’s work include Natural Language Processing Techniques (27 papers), Topic Modeling (22 papers) and Multimodal Machine Learning Applications (19 papers). Raffaella Bernardi is often cited by papers focused on Natural Language Processing Techniques (27 papers), Topic Modeling (22 papers) and Multimodal Machine Learning Applications (19 papers). Raffaella Bernardi collaborates with scholars based in Italy, The Netherlands and Argentina. Raffaella Bernardi's co-authors include Marco Baroni, Roberto Zamparelli, Marco Marelli, Stefano Menini, Luisa Bentivogli, Sandro Pezzelle, Barbara Plank, Raquel Fernández, Aykut Erdem and Nazlı İkizler-Cinbiş and has published in prestigious journals such as Cognition, Journal of Artificial Intelligence Research and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Raffaella Bernardi i

Fields of papers citing papers by Raffaella Bernardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Raffaella Bernardi

Since Specialization
Citations

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