Darrell Burke

27 papers and 677 indexed citations i.

About

Darrell Burke is a scholar working on Health Information Management, General Health Professions and Management Information Systems. According to data from OpenAlex, Darrell Burke has authored 27 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health Information Management, 9 papers in General Health Professions and 9 papers in Management Information Systems. Recurrent topics in Darrell Burke’s work include Electronic Health Records Systems (13 papers), Big Data and Business Intelligence (7 papers) and Healthcare Systems and Technology (6 papers). Darrell Burke is often cited by papers focused on Electronic Health Records Systems (13 papers), Big Data and Business Intelligence (7 papers) and Healthcare Systems and Technology (6 papers). Darrell Burke collaborates with scholars based in United States, Taiwan and Canada. Darrell Burke's co-authors include Nir Menachemi, Robert G. Brooks, Thomas T. H. Wan, Douglas J. Ayers, Jeffrey H. Burkhardt, Richard M. Shewchuk, Nahyun Kwon, Mia Liza A. Lustria, Blossom Yen-Ju Lin and Gloria J. Bazzoli and has published in prestigious journals such as International Journal of Medical Informatics, Journal of Medical Systems and The Journal of Rural Health.

In The Last Decade

Co-authorship network of co-authors of Darrell Burke i

Fields of papers citing papers by Darrell Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Darrell Burke

Since Specialization
Citations

This map shows the geographic impact of Darrell Burke'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 Darrell Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darrell Burke 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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2025