Emily Reif

12 papers and 400 indexed citations i.

About

Emily Reif is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Emily Reif has authored 12 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Information Systems. Recurrent topics in Emily Reif’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Emily Reif is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Emily Reif collaborates with scholars based in United States and United Kingdom. Emily Reif's co-authors include Fernanda Viégas, Martin Wattenberg, Been Kim, Carrie J. Cai, Daniel Smilkov, Michael Terry, Narayan Hegde, Greg S. Corrado, Jason Hipp and Martin C. Stumpe and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, npj Digital Medicine and arXiv (Cornell University).

In The Last Decade

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

Fields of papers citing papers by Emily Reif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emily Reif

Since Specialization
Citations

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