Jennifer Chu‐Carroll

37 papers and 1.3k indexed citations i.

About

Jennifer Chu‐Carroll is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jennifer Chu‐Carroll has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 9 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jennifer Chu‐Carroll’s work include Natural Language Processing Techniques (25 papers), Topic Modeling (24 papers) and Speech and dialogue systems (14 papers). Jennifer Chu‐Carroll is often cited by papers focused on Natural Language Processing Techniques (25 papers), Topic Modeling (24 papers) and Speech and dialogue systems (14 papers). Jennifer Chu‐Carroll collaborates with scholars based in United States and Germany. Jennifer Chu‐Carroll's co-authors include John Prager, Adam Lally, Aditya Kalyanpur, Bob Carpenter, David Ferrucci, Nico Schlaefer, J. William Murdock, Eric W. Brown, James Fan and Eric Nyberg and has published in prestigious journals such as IBM Journal of Research and Development, International Journal of Human-Computer Studies and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Jennifer Chu‐Carroll i

Fields of papers citing papers by Jennifer Chu‐Carroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Chu‐Carroll. 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 Jennifer Chu‐Carroll. The network helps show where Jennifer Chu‐Carroll may publish in the future.

Countries citing papers authored by Jennifer Chu‐Carroll

Since Specialization
Citations

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