GO Barnett

29 total papers · 558 total citations
22 papers, 438 citations indexed

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 438 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), Semantic Web and Ontologies (3 papers) and Electronic Health Records Systems (3 papers). GO Barnett is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (3 papers) and Electronic Health Records Systems (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, Robert A. Greenes, Stanley M. Huff, Edward H. Shortliffe, Edward P. Hoffer, Shawn N. Murphy, R D Berlin, Graham M. O’Hanlon and Robert A. Jenders 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

GO Barnett

22 papers receiving 398 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
GO Barnett	255	92	78	75	68	22	438
Yeunjung Kim	130 0.5×	112 1.2×	38 0.5×	73 1.0×	16 0.2×	17	431
Xingran Cui	113 0.4×	36 0.4×	127 1.6×	23 0.3×	8 0.1×	32	492
Son Q. Duong	73 0.3×	54 0.6×	19 0.2×	109 1.5×	63 0.9×	26	460
Friedberg Ck	364 1.4×	30 0.3×	81 1.0×	81 1.1×	9 0.1×	10	488
Manuel Varela	151 0.6×	47 0.5×	34 0.4×	49 0.7×	14 0.2×	30	370
Catherine Jayapandian	56 0.2×	81 0.9×	46 0.6×	9 0.1×	53 0.8×	11	413
John Gade	75 0.3×	17 0.2×	62 0.8×	65 0.9×	22 0.3×	20	414
Kathy Harris	125 0.5×	76 0.8×	17 0.2×	60 0.8×	39 0.6×	17	474
William H. Fennell	281 1.1×	48 0.5×	18 0.2×	83 1.1×	7 0.1×	22	420
Jiewen Zheng	112 0.4×	32 0.3×	191 2.4×	27 0.4×	6 0.1×	30	400

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).

Fields of papers citing papers by GO Barnett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of GO Barnett

This figure shows the co-authorship network connecting the top 25 collaborators of GO Barnett. A scholar is included among the top collaborators of GO Barnett 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 GO Barnett. GO Barnett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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