Barbara Di Eugenio

237 total papers · 3.0k total citations
142 papers, 1.7k citations indexed

About

Barbara Di Eugenio is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Barbara Di Eugenio has authored 142 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Artificial Intelligence, 17 papers in Developmental and Educational Psychology and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Barbara Di Eugenio's work include Natural Language Processing Techniques (58 papers), Topic Modeling (50 papers) and Speech and dialogue systems (47 papers). Barbara Di Eugenio is often cited by papers focused on Natural Language Processing Techniques (58 papers), Topic Modeling (50 papers) and Speech and dialogue systems (47 papers). Barbara Di Eugenio collaborates with scholars based in United States, Qatar and United Kingdom. Barbara Di Eugenio's co-authors include Michael Glass, Pamela Jordan, Davide Fossati, Rajen Subba, Johanna D. Moore, Massimo Poesio, Rosemary J. Stevenson, Janet Hitzeman, Bonnie Webber and Richmond H. Thomason and has published in prestigious journals such as Artificial Intelligence, Cognitive Science and International Journal of Human-Computer Studies.

In The Last Decade

Barbara Di Eugenio

137 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Barbara Di Eugenio 1.3k 194 142 138 131 142 1.7k
Martha Evens 1.3k 1.0× 305 1.6× 127 0.9× 286 2.1× 79 0.6× 151 1.6k
Michael McTear 1.4k 1.1× 204 1.1× 71 0.5× 205 1.5× 178 1.4× 89 2.2k
Grace Ngai 1.1k 0.9× 73 0.4× 165 1.2× 225 1.6× 268 2.0× 118 2.0k
Saturnino Luz 655 0.5× 85 0.4× 58 0.4× 113 0.8× 218 1.7× 199 1.9k
Klaus Zechner 1.3k 1.0× 165 0.9× 53 0.4× 145 1.1× 101 0.8× 81 1.6k
Sandra Carberry 1.2k 0.9× 75 0.4× 75 0.5× 181 1.3× 311 2.4× 89 1.6k
Willem Zuidema 875 0.7× 165 0.9× 66 0.5× 64 0.5× 64 0.5× 72 1.9k
Ron Artstein 1.5k 1.1× 72 0.4× 93 0.7× 136 1.0× 153 1.2× 80 2.2k
Pamela Jordan 1.1k 0.9× 421 2.2× 283 2.0× 76 0.6× 45 0.3× 67 1.3k
Dakuo Wang 984 0.8× 172 0.9× 227 1.6× 406 2.9× 275 2.1× 94 2.3k

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Di Eugenio. A scholar is included among the top collaborators of Barbara Di Eugenio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Barbara Di Eugenio. Barbara Di Eugenio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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