487 total citations 13 papers, 311 citations indexed
About
David Burkett is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications.
According to data from OpenAlex, David Burkett has authored 13 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Molecular Biology and 1 paper in Computer Networks and Communications. Recurrent topics in David Burkett's work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Speech and dialogue systems (3 papers). David Burkett is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Speech and dialogue systems (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, Slav Petrov, David Hall, Jonathan K. Kummerfeld, Alon Cohen and Necip Fazıl Ayan and has published in prestigious journals such as Empirical Methods in Natural Language Processing, North American Chapter of the Association for Computational Linguistics and Proceedings of the International Conference on Automated Planning and Scheduling.
In The Last Decade
David Burkett
12 papers
receiving
292 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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).
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.
Co-authorship network of co-authors of David Burkett
This figure shows the co-authorship network connecting the top 25 collaborators of David Burkett.
A scholar is included among the top collaborators of David Burkett based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with David Burkett. David Burkett is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hall, David, Alon Cohen, David Burkett, & Dan Klein. (2013). Faster Optimal Planning with Partial-Order Pruning. Proceedings of the International Conference on Automated Planning and Scheduling. 23. 100–108.9 indexed citations
3.
Berg-Kirkpatrick, Taylor, David Burkett, & Dan Klein. (2012). An Empirical Investigation of Statistical Significance in NLP. Empirical Methods in Natural Language Processing. 995–1005.103 indexed citations
4.
Burkett, David & Dan Klein. (2012). Fast Inference in Phrase Extraction Models with Belief Propagation. North American Chapter of the Association for Computational Linguistics. 29–38.5 indexed citations
5.
Burkett, David & Dan Klein. (2012). Transforming Trees to Improve Syntactic Convergence. Empirical Methods in Natural Language Processing. 863–872.8 indexed citations
6.
Burkett, David & Dan Klein. (2012). Variational Inference for Structured NLP Models. North American Chapter of the Association for Computational Linguistics. 5–10.
7.
Kummerfeld, Jonathan K., Mohit Bansal, David Burkett, & Dan Klein. (2011). Mention Detection: Heuristics for the OntoNotes annotations. 102–106.9 indexed citations
8.
Burkett, David, David Hall, & Dan Klein. (2011). Optimal Graph Search with Iterated Graph Cuts. Proceedings of the AAAI Conference on Artificial Intelligence. 25(1). 12–17.6 indexed citations
9.
Burkett, David, Slav Petrov, John Blitzer, & Dan Klein. (2010). Learning Better Monolingual Models with Unannotated Bilingual Text. 46–54.29 indexed citations
Burkett, David, et al.. (1975). Declare yourself : discovering the me in relationships. Bulletin of Miscellaneous Information (Royal Gardens Kew).2 indexed citations
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.