Barbara Di Eugenio

70 papers and 810 indexed citations i.

About

Barbara Di Eugenio is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Developmental and Educational Psychology. According to data from OpenAlex, Barbara Di Eugenio has authored 70 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Developmental and Educational Psychology. Recurrent topics in Barbara Di Eugenio’s work include Natural Language Processing Techniques (28 papers), Topic Modeling (25 papers) and Speech and dialogue systems (24 papers). Barbara Di Eugenio is often cited by papers focused on Natural Language Processing Techniques (28 papers), Topic Modeling (25 papers) and Speech and dialogue systems (24 papers). Barbara Di Eugenio collaborates with scholars based in United States, United Kingdom and Italy. Barbara Di Eugenio's co-authors include Michael Glass, Pamela Jordan, Johanna D. Moore, Rosemary J. Stevenson, Janet Hitzeman, Massimo Poesio, Davide Fossati, Richmond H. Thomason, Stellan Ohlsson and Sandra Katz and has published in prestigious journals such as Artificial Intelligence, Cognitive Science and International Journal of Human-Computer Studies.

In The Last Decade

Co-authorship network of co-authors of Barbara Di Eugenio i

Fields of papers citing papers by Barbara Di Eugenio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara Di Eugenio. 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 Barbara Di Eugenio. The network helps show where Barbara Di Eugenio may publish in the future.

Countries citing papers authored by Barbara Di Eugenio

Since Specialization
Citations

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