Ellie Pavlick

49 papers and 2.0k indexed citations i.

About

Ellie Pavlick is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Ellie Pavlick has authored 49 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 3 papers in Sociology and Political Science. Recurrent topics in Ellie Pavlick’s work include Topic Modeling (31 papers), Natural Language Processing Techniques (31 papers) and Multimodal Machine Learning Applications (14 papers). Ellie Pavlick is often cited by papers focused on Topic Modeling (31 papers), Natural Language Processing Techniques (31 papers) and Multimodal Machine Learning Applications (14 papers). Ellie Pavlick collaborates with scholars based in United States, Italy and India. Ellie Pavlick's co-authors include Ian Tenney, Dipanjan Das, Tal Linzen, Chris Callison-Burch, Tom Kwiatkowski, Albert Webson, Wei Xu, Quan Ze Chen, Courtney Napoles and Joel Tetreault and has published in prestigious journals such as PLoS ONE, Behavioral and Brain Sciences and Current Directions in Psychological Science.

In The Last Decade

Co-authorship network of co-authors of Ellie Pavlick i

Fields of papers citing papers by Ellie Pavlick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ellie Pavlick

Since Specialization
Citations

This map shows the geographic impact of Ellie Pavlick'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 Ellie Pavlick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellie Pavlick 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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2025