Darrell Burke

27 papers receiving 791 citations

Peers

Darrell Burke
Comparison fields: 5 of 96
  • Health Information Management 279
  • Medical Terminology 4
  • Management Information Systems 153
  • Information Systems and Management 85
  • Organizational Behavior and Human Resource Management 118
Replace Gray Southon with:
Gray Southon Australia
Reza Khajouei Iran
Maryati Mohd Yusof Malaysia
Robert T. Riley United States
Carolyn E. Aydin United States
Ela Klecuń United Kingdom
Michael C. Hoaglin United States
Matthew F. Burke United States
Dave Ludwick Canada
M. Berg Netherlands
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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).

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.

Co-authors

The 25 scholars most cited alongside Darrell 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 Burke Line = papers co-authored together Darrell 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 2004115
2 2002109
3 2006101
4 200596
5
Predictors of cancer information overload: findings from a national survey
200788
6 200456
7 200534
8 200433
9 200531
10 200521
11 200721
12 201717
13 201917
14 201614
15
Characteristics of hospitals that outsource information system functions.
200513
16
Convergence of Information and Law : A Comparative Study Between i-Schools and Other ALISE Schools
200812
17 200612
18 200612
19
Best of breed strategies--hospital characteristics associated with organizational HIT strategy.
200912
20 20068

About Darrell Burke

Darrell Burke is a scholar working on Health Information Management, Management Information Systems, General Health Professions, Management Science and Operations Research and Medical Laboratory Technology, having authored 30 papers that have together received 848 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 (279 citations), Medical Terminology (4 citations), Management Information Systems (153 citations), Information Systems and Management (85 citations) and Organizational Behavior and Human Resource Management (118 citations). Darrell 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, Nahyun Kwon, Richard M. Shewchuk, Mia Liza A. Lustria, 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, International Journal of Medical Informatics and Journal of Healthcare Management.

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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