Brian H Willis
Impact in
-
- Meta-analysis and systematic reviews
- Family Practice top 10%
Papers in
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- Meta-analysis and systematic reviews 10
- Reliability and Agreement in Measurement 4
- Co-authors
- Richard D RileyMuireann QuigleyChristopher HydeStirling BryanPhilippa PearmainPelham BartonKaroline FreemanSian Taylor‐Phillips
- Journals
- BMJ Open (4 papers)British Journal of General Practice (4 papers)Journal of Clinical Epidemiology (3 papers)Statistical Methods in Medical Research (3 papers)BMC Medical Research Methodology (3 papers)
- Partner nations
- United KingdomEgyptGreece
In The Last Decade
Brian H Willis
36 papers receiving 851 citations
Peers
Comparison fields: 5 of 142
- Statistics, Probability and Uncertainty 111
- Family Practice 23
- Endocrinology, Diabetes and Metabolism 114
- Internal Medicine 18
- Public Health, Environmental and Occupational Health 131
Countries citing papers authored by Brian H Willis
This map shows the geographic impact of Brian H Willis'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 Brian H Willis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian H Willis more than expected).
Fields of papers citing papers by Brian H Willis
This network shows the impact of papers produced by Brian H Willis. 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 Brian H Willis. The network helps show where Brian H Willis may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian H Willis, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 43 | |
| 8 | 2020 | 3 | |
| 9 | 2020 | 19 | |
| 10 | 2019 | 3 | |
| 11 | 2019 | 27 | |
| 12 | 2018 | 3 | |
| 13 | 2018 | 6 | |
| 14 | 2017 | 25 | |
| 15 | 2014 | 12 | |
| 16 | 2014 | 14 | |
| 17 | 2012 | 24 | |
| 18 | 2011 | 36 | |
| 19 | 2008 | 107 | |
| 20 | 2006 | 8 |
About Brian H Willis
Brian H Willis is a scholar working on Statistics, Probability and Uncertainty, General Psychology, General Dentistry, Obstetrics and Gynecology and Statistics and Probability, having authored 38 papers that have together received 875 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (10 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Microscopic Colitis (4 papers), Inflammatory Bowel Disease (4 papers), Reliability and Agreement in Measurement (4 papers), Bayesian Methods and Mixture Models (3 papers), Advanced Clustering Algorithms Research (3 papers) and Maternal and Perinatal Health Interventions (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (111 citations), Family Practice (23 citations), Endocrinology, Diabetes and Metabolism (114 citations), Internal Medicine (18 citations) and Public Health, Environmental and Occupational Health (131 citations). Brian H Willis has collaborated with scholars based in United Kingdom, Egypt and Greece. Frequent co-authors include Richard D Riley, Muireann Quigley, Christopher Hyde, Stirling Bryan, Philippa Pearmain, Pelham Barton, Karoline Freeman, Sian Taylor‐Phillips, Aileen Clarke and Krishna Gokhale. Their work appears in journals such as BMJ Open, British Journal of General Practice, Journal of Clinical Epidemiology, Statistical Methods in Medical Research and BMC Medical Research Methodology.
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.