David Burkett

9 papers and 164 indexed citations i.

About

David Burkett is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Burkett has authored 9 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in David Burkett’s work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Biomedical Text Mining and Ontologies (3 papers). David Burkett is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Biomedical Text Mining and Ontologies (3 papers). David Burkett collaborates with scholars based in United States and China. David Burkett's co-authors include Dan Klein, Taylor Berg-Kirkpatrick, John Blitzer, Mohit Bansal, Gerard de Melo, David Hall, Alon Cohen, Necip Fazıl Ayan, Wen Wang and Jing Zheng and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University), Empirical Methods in Natural Language Processing and North American Chapter of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of David Burkett i

Fields of papers citing papers by David Burkett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Burkett

Since Specialization
Citations

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