Darrell Burke

27 papers receiving 740 citations

Peers

Darrell Burke
Comparison fields: 5 of 98
  • Health Information Management 314
  • Medical Laboratory Technology 28
  • Organizational Behavior and Human Resource Management 185
  • Management Information Systems 143
  • Medical Terminology 3
Replace Robert T. Riley with:
Robert T. Riley United States
Gray Southon Australia
Jytte Brender Denmark
M. Berg Netherlands
Michael C. Hoaglin United States
Matthew F. Burke United States
Maryati Mohd Yusof Malaysia
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Citations per field
00.5×4.8×
Robert T. Riley · 1×
Citations per year

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-authorship network

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
#Work
1
Is there an Association between Quality Care and Financial Performance in Community Health Centers
20190
2 20190
3 20195
4 201915
5 201716
6 20155
7
Convergence of Information and Law : A Comparative Study Between i-Schools and Other ALISE Schools
200811
8
Predictors of cancer information overload: findings from a national survey
200783
9 200720
10 200610
11 20067
12 200590
13 200532
14 200529
15
Characteristics of hospitals that outsource information system functions.
200511
16 200520
17 2004104
18 200450
19 200431
20 2002106

About Darrell Burke

Darrell Burke is a scholar working on Health Information Management, Medical Laboratory Technology, Management Information Systems, Library and Information Sciences and Organizational Behavior and Human Resource Management, having authored 29 papers that have together received 790 indexed citations. Recurring topics across this work include Electronic Health Records Systems (13 papers), Big Data and Business Intelligence (7 papers), Patient Satisfaction in Healthcare (6 papers), Healthcare Systems and Technology (6 papers), Data Quality and Management (5 papers), Quality and Safety in Healthcare (4 papers), Primary Care and Health Outcomes (4 papers) and Information Technology Governance and Strategy (4 papers). The work is most often cited by research in Health Information Management (314 citations), Medical Laboratory Technology (28 citations), Organizational Behavior and Human Resource Management (185 citations), Management Information Systems (143 citations) and Medical Terminology (3 citations). Darrell Burke has collaborated with scholars based in United States, Taiwan and Norway. 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, Gloria J. Bazzoli and Blossom Yen-Ju Lin. Their work appears in journals such as Health Care Management Review, Journal of Medical Systems, The Health Care Manager, 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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