Bill Byrom
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
- Applied Psychology top 10%
- Digital Mental Health Interventions
Papers in
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- Mobile Health and mHealth Applications 8
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- Statistical Methods in Clinical Trials 9
- Co-authors
- Willie Muehlhausen (13 shared papers)Marie Mc Carthy (10 shared papers)David A. Rowe (1 shared paper)John McKellar (1 shared paper)L.F. Lacey (1 shared paper)Michael G. Hutchison (1 shared paper)Kevin Gough (1 shared paper)Oliver N. Keene (1 shared paper)
- Journals
- Value in Health (13 papers)Therapeutic Innovation & Regulatory Science (5 papers)Contemporary Clinical Trials (3 papers)Journal of Medical Internet Research (2 papers)Journal of Medical Systems (2 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Bill Byrom
56 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 146
- Statistics and Probability 110
- Applied Psychology 61
- Anesthesiology and Pain Medicine 57
- Physiology 119
- Physical Therapy, Sports Therapy and Rehabilitation 21
Countries citing papers authored by Bill Byrom
This map shows the geographic impact of Bill Byrom'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 Bill Byrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill Byrom more than expected).
Fields of papers citing papers by Bill Byrom
This network shows the impact of papers produced by Bill Byrom. 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 Bill Byrom. The network helps show where Bill Byrom may publish in the future.
Co-authors
The 25 scholars most cited alongside Bill Byrom, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 243 | |
| 2 | 1998 | 134 | |
| 3 | 2016 | 79 | |
| 4 | 2018 | 65 | |
| 5 | 2018 | 64 | |
| 6 | 2016 | 61 | |
| 7 | 2017 | 56 | |
| 8 | 2000 | 41 | |
| 9 | 2020 | 38 | |
| 10 | 2017 | 37 | |
| 11 | 2021 | 33 | |
| 12 | ePro: Electronic Solutions for Patient-Reported Data | 2010 | 31 |
| 13 | 2022 | 26 | |
| 14 | 2018 | 24 | |
| 15 | 2004 | 21 | |
| 16 | 2018 | 18 | |
| 17 | 2001 | 17 | |
| 18 | 2020 | 17 | |
| 19 | 2017 | 16 | |
| 20 | 2018 | 16 |
About Bill Byrom
Bill Byrom is a scholar working on General Health Professions, Statistics and Probability, Public Health, Environmental and Occupational Health, Economics and Econometrics and Physiology, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Mobile Health and mHealth Applications (8 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Meta-analysis and systematic reviews (3 papers), Physical Activity and Health (3 papers), Social Media in Health Education (3 papers), Telemedicine and Telehealth Implementation (3 papers) and Optimal Experimental Design Methods (3 papers). The work is most often cited by research in Statistics and Probability (110 citations), Applied Psychology (61 citations), Anesthesiology and Pain Medicine (57 citations), Physiology (119 citations) and Physical Therapy, Sports Therapy and Rehabilitation (21 citations). Bill Byrom has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Willie Muehlhausen, Marie Mc Carthy, David A. Rowe, John McKellar, L.F. Lacey, Michael G. Hutchison, Kevin Gough, Oliver N. Keene, Alison Carr and Philip Breedon. Their work appears in journals such as Value in Health, Therapeutic Innovation & Regulatory Science, Contemporary Clinical Trials, Journal of Medical Internet Research and Journal of Medical Systems.
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.