Adina Williams

37 papers and 2.8k indexed citations i.

About

Adina Williams is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cultural Studies. According to data from OpenAlex, Adina Williams has authored 37 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 4 papers in Cultural Studies. Recurrent topics in Adina Williams’s work include Topic Modeling (29 papers), Natural Language Processing Techniques (27 papers) and Multimodal Machine Learning Applications (11 papers). Adina Williams is often cited by papers focused on Topic Modeling (29 papers), Natural Language Processing Techniques (27 papers) and Multimodal Machine Learning Applications (11 papers). Adina Williams collaborates with scholars based in United States, Israel and Switzerland. Adina Williams's co-authors include Samuel Bowman, Nikita Nangia, Ruty Rinott, Veselin Stoyanov, Holger Schwenk, Alexis Conneau, Guillaume Lample, Douwe Kiela, Ryan Cotterell and Tiago Pimentel and has published in prestigious journals such as Science Advances, Neuropsychologia and Personality and Social Psychology Bulletin.

In The Last Decade

Co-authorship network of co-authors of Adina Williams i

Fields of papers citing papers by Adina Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Adina Williams

Since Specialization
Citations

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