Yann Dauphin

28 papers and 3.4k indexed citations i.

About

Yann Dauphin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Yann Dauphin has authored 28 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Mechanics. Recurrent topics in Yann Dauphin’s work include Topic Modeling (10 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Natural Language Processing Techniques (8 papers). Yann Dauphin is often cited by papers focused on Topic Modeling (10 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Natural Language Processing Techniques (8 papers). Yann Dauphin collaborates with scholars based in United States, Canada and Israel. Yann Dauphin's co-authors include Michael Auli, David Grangier, Mike Lewis, Jonas Gehring, Angela Fan, Denis Yarats, Yoshua Bengio, Angela Fan, Moustapha Cissé and Hongyi Zhang and has published in prestigious journals such as PLoS ONE, IEEE/ACM Transactions on Audio Speech and Language Processing and Journal on Multimodal User Interfaces.

In The Last Decade

Co-authorship network of co-authors of Yann Dauphin i

Fields of papers citing papers by Yann Dauphin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yann Dauphin

Since Specialization
Citations

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