David Burkett
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 163 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, David Hall, John Blitzer, Necip Fazıl Ayan and Mohit Bansal and has published in prestigious journals such as and .
In The Last Decade
Fields of papers citing papers by David Burkett
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by David Burkett. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where David Burkett may publish in the future.
Countries citing papers authored by David Burkett
Since SpecializationCitations
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).
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