Emery Fine

2 papers and 108 indexed citations i.

About

Emery Fine is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Emery Fine has authored 2 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Emery Fine’s work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Multimodal Machine Learning Applications (1 paper). Emery Fine is often cited by papers focused on Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Multimodal Machine Learning Applications (1 paper). Emery Fine collaborates with scholars based in India, France and Taiwan. Emery Fine's co-authors include Layla El Asri, Shikhar Sharma, Jérémie Zumer, Justin Harris, Kaheer Suleman, Hannes Schulz, Xingdi Yuan, Tong Wang, Pierre-Yves Oudeyer and Hélène Sauzéon and has published in prestigious journals such as arXiv (Cornell University) and Findings of the Association for Computational Linguistics: ACL 2022.

In The Last Decade

Co-authorship network of co-authors of Emery Fine i

Fields of papers citing papers by Emery Fine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emery Fine

Since Specialization
Citations

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