GO Barnett

About

GO Barnett is a scholar working on Artificial Intelligence, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, GO Barnett has authored 22 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Molecular Biology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in GO Barnett’s work include Biomedical Text Mining and Ontologies (5 papers), Electronic Health Records Systems (3 papers) and Semantic Web and Ontologies (3 papers). GO Barnett is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Electronic Health Records Systems (3 papers) and Semantic Web and Ontologies (3 papers). GO Barnett collaborates with scholars based in United States and United Kingdom. GO Barnett's co-authors include P. G. Katona, James J. Cimino, Stanley M. Huff, Edward H. Shortliffe, Robert A. Greenes, Edward P. Hoffer, Shawn N. Murphy, Graham M. O’Hanlon, William M. Abbott and Clyde H. Beck and has published in prestigious journals such as Critical Care Medicine, Experimental Neurology and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of GO Barnett i

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Fields of papers citing papers by GO Barnett

Since Specialization

EngineeringComputer 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 GO Barnett. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where GO Barnett may publish in the future.

Countries citing papers authored by GO Barnett

Since Specialization

Citations

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

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