Douglas Boyle

2.5k citations
67 papers · 1.8k indexed · h-index 18

Impact in

Papers in

Douglas Boyle

58 papers receiving 1.7k citations

Peers

Douglas Boyle
Comparison fields: 5 of 138
  • Endocrinology, Diabetes and Metabolism 800
  • Family Practice 63
  • Health Information Management 95
  • Occupational Therapy 56
  • Geriatrics and Gerontology 47
Replace T. Kue Young with:
T. Kue Young Canada
Georgia Kourlaba Greece
B. Detournay France
Judith A. O’Brien Canada
Ginenus Fekadu Ethiopia
Emily D. Parker United States
Flavia Carle Italy
O. Dale Williams United States
Surasak Taneepanichskul Thailand
Dinesh Neupane United States
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Citations per field
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Citations per year

Countries citing papers authored by Douglas Boyle

Since Specialization
Citations

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

Fields of papers citing papers by Douglas Boyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20241
5 20241
6 20231
7 20230
8 20214
9 20216
10 202016
11 201918
12 201925
13 20191
14 201913
15 201841
16
Electronic clinical decision support tool for the evaluation of cardiovascular risk in general practice: A pilot study.
201710
17
Data linkage.
20177
18
Middleware Supporting Next Generation Data Analytics in Australia.
201512
19 201419
20
The HEARTS collaboration - Delivering improved secondary prevention of CHD for patients with heart disease
20022

About Douglas Boyle

Douglas Boyle is a scholar working on Health Information Management, General Health Professions, Microbiology, Geriatrics and Gerontology and Endocrinology, Diabetes and Metabolism, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (12 papers), Electronic Health Records Systems (12 papers), Chronic Disease Management Strategies (9 papers), Ethics in Clinical Research (6 papers), Data Quality and Management (6 papers), Medical Coding and Health Information (6 papers), Diabetes Management and Education (5 papers) and Reproductive tract infections research (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (800 citations), Family Practice (63 citations), Health Information Management (95 citations), Occupational Therapy (56 citations) and Geriatrics and Gerontology (47 citations). Douglas Boyle has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Thomas M. MacDonald, R. W. Newton, Andrew D. Morris, Stephen Greene, Alex D. McMahon, Alistair Emslie‐Smith, Andrew D. Morris, Josie Evans, A. D. Morris and R. T. Jung. Their work appears in journals such as BMJ Open, The Medical Journal of Australia, Sexual Health, Diabetic Medicine and Diabetes Care.

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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