Georgiana Dinu

24 papers and 1.1k indexed citations i.

About

Georgiana Dinu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Georgiana Dinu has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Management Science and Operations Research. Recurrent topics in Georgiana Dinu’s work include Natural Language Processing Techniques (21 papers), Topic Modeling (19 papers) and Multimodal Machine Learning Applications (4 papers). Georgiana Dinu is often cited by papers focused on Natural Language Processing Techniques (21 papers), Topic Modeling (19 papers) and Multimodal Machine Learning Applications (4 papers). Georgiana Dinu collaborates with scholars based in Italy, Germany and United States. Georgiana Dinu's co-authors include Marco Baroni, Germán Kruszewski, Angeliki Lazaridou, Mirella Lapata, Josef van Genabith, Grzegorz Chrupała, Marcello Federico, Prashant Mathur, Yaser Al-Onaizan and Marco Marelli and has published in prestigious journals such as Applied Psycholinguistics, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Georgiana Dinu i

Fields of papers citing papers by Georgiana Dinu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Georgiana Dinu

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025