Darrell E. Burke

27 papers receiving 797 citations

Peers

Darrell E. Burke
Comparison fields: 5 of 97
  • Health Information Management 284
  • Medical Terminology 4
  • Management Information Systems 155
  • Information Systems and Management 83
  • Organizational Behavior and Human Resource Management 117
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Gray Southon Australia
Maryati Mohd Yusof Malaysia
Robert T. Riley United States
Carolyn E. Aydin United States
Michael C. Hoaglin United States
Matthew F. Burke United States
Ela Klecuń United Kingdom
Dave Ludwick Canada
M. Berg Netherlands
Robin C. Meili United States
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Countries citing papers authored by Darrell E. Burke

Since Specialization
Citations

This map shows the geographic impact of Darrell E. 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 E. 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 E. Burke more than expected).

Fields of papers citing papers by Darrell E. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Darrell E. Burke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Darrell E. Burke Line = papers co-authored together Darrell E. Burke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004116
2 2002108
3 200699
4 200598
5
Predictors of cancer information overload: findings from a national survey
200787
6 200459
7 200535
8 200432
9 200531
10 200722
11 200522
12 201918
13 201717
14 201615
15 200612
16
Characteristics of hospitals that outsource information system functions.
200512
17 200612
18
Best of breed strategies--hospital characteristics associated with organizational HIT strategy.
200912
19
Convergence of Information and Law : A Comparative Study Between i-Schools and Other ALISE Schools
200810
20 20068

About Darrell E. Burke

Darrell E. Burke is a scholar working on Health Information Management, Management Information Systems, Medical Laboratory Technology, Management Science and Operations Research and General Health Professions, having authored 30 papers that have together received 851 indexed citations. Recurring topics across this work include Electronic Health Records Systems (12 papers), Big Data and Business Intelligence (6 papers), Data Quality and Management (5 papers), Information Technology Governance and Strategy (4 papers), Patient Satisfaction in Healthcare (3 papers), Quality and Safety in Healthcare (3 papers), Healthcare Systems and Technology (3 papers) and Patient Safety and Medication Errors (2 papers). The work is most often cited by research in Health Information Management (284 citations), Medical Terminology (4 citations), Management Information Systems (155 citations), Information Systems and Management (83 citations) and Organizational Behavior and Human Resource Management (117 citations). Darrell E. Burke has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Nir Menachemi, Robert G. Brooks, Thomas T. H. Wan, Douglas J. Ayers, Jeffrey H. Burkhardt, Mia Liza A. Lustria, Richard M. Shewchuk, Nahyun Kwon, Blossom Yen-Ju Lin and Gloria J. Bazzoli. Their work appears in journals such as Health Care Management Review, The Health Care Manager, Journal of Medical Systems, Journal of Healthcare Management and International Journal of Medical Informatics.

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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