Emily Dinan

14 papers and 1.4k indexed citations i.

About

Emily Dinan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Emily Dinan has authored 14 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Sociology and Political Science. Recurrent topics in Emily Dinan’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Speech and dialogue systems (5 papers). Emily Dinan is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Speech and dialogue systems (5 papers). Emily Dinan collaborates with scholars based in Israel, United States and France. Emily Dinan's co-authors include Jason Weston, Douwe Kiela, Jack Urbanek, Arthur Szlam, Saizheng Zhang, Stephen Roller, Y-Lan Boureau, Da Young Ju, Jing Xu and Samuel Humeau and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and UCL Discovery (University College London).

In The Last Decade

Co-authorship network of co-authors of Emily Dinan i

Fields of papers citing papers by Emily Dinan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emily Dinan

Since Specialization
Citations

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