Chris Callison-Burch

115 papers and 3.8k indexed citations i.

About

Chris Callison-Burch is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Chris Callison-Burch has authored 115 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 12 papers in Computer Science Applications. Recurrent topics in Chris Callison-Burch’s work include Topic Modeling (90 papers), Natural Language Processing Techniques (84 papers) and Text Readability and Simplification (15 papers). Chris Callison-Burch is often cited by papers focused on Topic Modeling (90 papers), Natural Language Processing Techniques (84 papers) and Text Readability and Simplification (15 papers). Chris Callison-Burch collaborates with scholars based in United States, United Kingdom and The Netherlands. Chris Callison-Burch's co-authors include Philipp Koehn, Omar F. Zaidan, Benjamin Van Durme, Miles Osborne, Wei Xu, Juri Ganitkevitch, Christof Monz, Courtney Napoles, Josh E. Schroeder and Ellie Pavlick and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Review of Economics and Statistics.

In The Last Decade

Co-authorship network of co-authors of Chris Callison-Burch i

Fields of papers citing papers by Chris Callison-Burch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Callison-Burch. 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 Chris Callison-Burch. The network helps show where Chris Callison-Burch may publish in the future.

Countries citing papers authored by Chris Callison-Burch

Since Specialization
Citations

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