Bill Byrom
- Applied Psychology top 10%
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials 12
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- Mobile Health and mHealth Applications 10
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- Health Systems, Economic Evaluations, Quality of Life 9
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- Delphi Technique in Research 4
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- Telemedicine and Telehealth Implementation 4
- Ethics in Clinical Research 4
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- Meta-analysis and systematic reviews 4
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- Social Media in Health Education 4
- Co-authors
- Willie MuehlhausenMarie Mc CarthyDavid A. RoweMichael G. HutchisonOliver N. KeeneL.F. LaceyJohn McKellarAlison Carr
- Journals
- Value in Health (12 papers)Therapeutic Innovation & Regulatory Science (5 papers)Contemporary Clinical Trials (3 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Bill Byrom
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 149
- Applied Psychology 78
- Anesthesiology and Pain Medicine 78
- Statistics and Probability 104
- Family Practice 14
- Physiology 163
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 29 | |
| 10 | 2020 | 6 | |
| 11 | 2018 | 1 | |
| 12 | 2018 | 22 | |
| 13 | 2018 | 16 | |
| 14 | 2017 | 53 | |
| 15 | 2017 | 13 | |
| 16 | 2017 | 37 | |
| 17 | 2016 | 58 | |
| 18 | 2016 | 1 | |
| 19 | Clinical Trials & Regulatory Affairs Managing the Medication Supply Chain Process Using Clinical Technology Solutions | 2005 | 1 |
| 20 | 2000 | 3 |
About Bill Byrom
Bill Byrom is a scholar working on Statistics and Probability, Health, General Health Professions, Applied Psychology and Statistics, Probability and Uncertainty, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (12 papers), Mobile Health and mHealth Applications (10 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Delphi Technique in Research (4 papers), Telemedicine and Telehealth Implementation (4 papers), Meta-analysis and systematic reviews (4 papers), Ethics in Clinical Research (4 papers) and Social Media in Health Education (4 papers). The work is most often cited by research in Applied Psychology (78 citations), Anesthesiology and Pain Medicine (78 citations), Statistics and Probability (104 citations), Family Practice (14 citations) and Physiology (163 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, Michael G. Hutchison, Oliver N. Keene, L.F. Lacey, John McKellar, Alison Carr, Philip Breedon and Francesco Luke Siena. Their work appears in journals such as Value in Health, Therapeutic Innovation & Regulatory Science, Contemporary Clinical Trials, Journal of Medical Systems and Journal of Medical Internet Research.
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.