Paul Dexter

86 papers receiving 2.9k citations

Peers

Paul Dexter
Comparison fields: 5 of 151
  • Health Information Management 843
  • Geriatrics and Gerontology 291
  • Medical Terminology 18
  • Family Practice 110
  • Organizational Behavior and Human Resource Management 322
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Countries citing papers authored by Paul Dexter

Since Specialization
Citations

This map shows the geographic impact of Paul Dexter'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 Paul Dexter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Dexter more than expected).

Fields of papers citing papers by Paul Dexter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Paul Dexter, 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 Paul Dexter Line = papers co-authored together Paul Dexter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001423
2 2005251
3 2004175
4 2001168
5 1998161
6 2001155
7 2002137
8 2009122
9 200175
10 200374
11 199070
12 201568
13 200266
14 201058
15 199858
16 199553
17
Efficiency, comprehensiveness and cost-effectiveness when comparing dictation and electronic templates for operative reports.
200552
18
Community clinical data exchange for emergency medicine patients.
200351
19 201248
20
Distribution and predictors of depressive symptoms in osteoarthritis.
199441

About Paul Dexter

Paul Dexter is a scholar working on Health Information Management, Molecular Biology, General Health Professions, Public Health, Environmental and Occupational Health and Artificial Intelligence, having authored 93 papers that have together received 3.0k indexed citations. Recurring topics across this work include Electronic Health Records Systems (26 papers), Biomedical Text Mining and Ontologies (12 papers), Healthcare Systems and Technology (8 papers), Respiratory and Cough-Related Research (7 papers), Machine Learning in Healthcare (7 papers), Chronic Disease Management Strategies (6 papers), Dementia and Cognitive Impairment Research (5 papers) and Pharmaceutical Practices and Patient Outcomes (4 papers). The work is most often cited by research in Health Information Management (843 citations), Geriatrics and Gerontology (291 citations), Medical Terminology (18 citations), Family Practice (110 citations) and Organizational Behavior and Human Resource Management (322 citations). Paul Dexter has collaborated with scholars based in United States, Vietnam and Philippines. Frequent co-authors include Clement J. McDonald, J. Marc Overhage, Susan M. Perkins, Kati Maharry, William M. Tierney, Anthony J. Perkins, Fredric D. Wolinsky, Richard Köhler, Gregory P. Gramelspacher and Xiao‐Hua Zhou. Their work appears in journals such as Journal of the American Geriatrics Society, Journal of General Internal Medicine, Annals of Emergency Medicine, International Journal of Medical Informatics and JAMA.

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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