Roy Harper
Impact in
- Obstetrics and Gynecology top 5%
- Gestational Diabetes Research and Management
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- Artificial Intelligence in Healthcare
Papers in
-
- Diabetes Management and Research 7
- Diabetes Management and Education 7
- Diabetes Treatment and Management 5
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- Mobile Health and mHealth Applications 6
- Co-authors
- N.D. Black (7 shared papers)Valerie Holmes (10 shared papers)Paul McCullagh (5 shared papers)David R. McCance (9 shared papers)Fiona Alderdice (9 shared papers)Yue Huang (1 shared paper)P. M. Bell (3 shared papers)A. Brew Atkinson (3 shared papers)
- Journals
- Diabetic Medicine (2 papers)Diabetes Technology & Therapeutics (2 papers)Journal of Hypertension (2 papers)Journal of Telemedicine and Telecare (2 papers)Artificial Intelligence in Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Roy Harper
39 papers receiving 694 citations
Peers
Comparison fields: 5 of 85
- Obstetrics and Gynecology 173
- Health Information Management 102
- Endocrinology, Diabetes and Metabolism 190
- Artificial Intelligence 102
- General Health Professions 65
Countries citing papers authored by Roy Harper
This map shows the geographic impact of Roy Harper'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 Roy Harper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy Harper more than expected).
Fields of papers citing papers by Roy Harper
This network shows the impact of papers produced by Roy Harper. 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 Roy Harper. The network helps show where Roy Harper may publish in the future.
Co-authors
The 25 scholars most cited alongside Roy Harper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 120 | |
| 2 | 2016 | 81 | |
| 3 | 1997 | 73 | |
| 4 | 2010 | 45 | |
| 5 | 2012 | 39 | |
| 6 | 2012 | 27 | |
| 7 | 2010 | 26 | |
| 8 | 2001 | 26 | |
| 9 | 1998 | 25 | |
| 10 | 2014 | 21 | |
| 11 | 2018 | 19 | |
| 12 | 2008 | 18 | |
| 13 | 2005 | 17 | |
| 14 | 2017 | 16 | |
| 15 | 2013 | 14 | |
| 16 | 2006 | 14 | |
| 17 | 2005 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 2015 | 13 | |
| 20 | 2016 | 10 |
About Roy Harper
Roy Harper is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions, Obstetrics and Gynecology, Health Information Management and Surgery, having authored 40 papers that have together received 726 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (8 papers), Diabetes Management and Research (7 papers), Diabetes Management and Education (7 papers), Mobile Health and mHealth Applications (6 papers), Diabetes Treatment and Management (5 papers), Artificial Intelligence in Healthcare (4 papers), Healthcare Systems and Technology (4 papers) and Data Mining Algorithms and Applications (3 papers). The work is most often cited by research in Obstetrics and Gynecology (173 citations), Health Information Management (102 citations), Endocrinology, Diabetes and Metabolism (190 citations), Artificial Intelligence (102 citations) and General Health Professions (65 citations). Roy Harper has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include N.D. Black, Valerie Holmes, Paul McCullagh, David R. McCance, Fiona Alderdice, Yue Huang, P. M. Bell, A. Brew Atkinson, Oonagh McSorley and Claire R. Draffin. Their work appears in journals such as Diabetic Medicine, Diabetes Technology & Therapeutics, Journal of Hypertension, Journal of Telemedicine and Telecare and Artificial Intelligence in Medicine.
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.