Ann Irvine

14 papers and 243 indexed citations i.

About

Ann Irvine is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Ann Irvine has authored 14 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Science Applications. Recurrent topics in Ann Irvine’s work include Topic Modeling (14 papers), Natural Language Processing Techniques (14 papers) and Text Readability and Simplification (4 papers). Ann Irvine is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (14 papers) and Text Readability and Simplification (4 papers). Ann Irvine collaborates with scholars based in United States and Canada. Ann Irvine's co-authors include Chris Callison-Burch, Alexandre Klementiev, Ellie Pavlick, Matt Post, Hal Daumé, John Morgan, Stephanie W. Haas, Marine Carpuat, Dragos Stefan Munteanu and Jason Riesa and has published in prestigious journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics and Natural Language Engineering.

In The Last Decade

Co-authorship network of co-authors of Ann Irvine i

Fields of papers citing papers by Ann Irvine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ann Irvine

Since Specialization
Citations

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