Bethany Williams
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Artificial Intelligence in Healthcare and Education 5
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- Cell Image Analysis Techniques 5
- Co-authors
- Darren TreanorRebecca RandellEldo T. VergheseCatherine HewittDean McMillanRachel RichardsonLaura ManeaSimon Gilbody
- Journals
- Journal of Clinical Pathology (8 papers)Journal of Pathology Informatics (3 papers)Histopathology (2 papers)Journal of Nutrition Education and Behavior (2 papers)Archives of Pathology & Laboratory Medicine (2 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Bethany Williams
33 papers receiving 943 citations
Peers
Comparison fields: 5 of 123
- Health Informatics 91
- Biophysics 104
- Artificial Intelligence 491
- Radiology, Nuclear Medicine and Imaging 293
- Oncology 239
Countries citing papers authored by Bethany Williams
This map shows the geographic impact of Bethany Williams'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 Bethany Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bethany Williams more than expected).
Fields of papers citing papers by Bethany Williams
This network shows the impact of papers produced by Bethany Williams. 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 Bethany Williams. The network helps show where Bethany Williams may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bethany Williams, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 12 | |
| 7 | 2021 | 26 | |
| 8 | 2020 | 11 | |
| 9 | 2020 | 38 | |
| 10 | 2020 | 6 | |
| 11 | 2020 | 22 | |
| 12 | 2019 | 11 | |
| 13 | 2018 | 49 | |
| 14 | 2018 | 28 | |
| 15 | 2017 | 51 | |
| 16 | 2017 | 103 | |
| 17 | 2016 | 165 | |
| 18 | 2016 | 2 | |
| 19 | 2015 | 52 | |
| 20 | 2013 | 42 |
About Bethany Williams
Bethany Williams is a scholar working on Health Informatics, Biophysics, Artificial Intelligence, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 963 indexed citations. Recurring topics across this work include AI in cancer detection (20 papers), Digital Imaging in Medicine (6 papers), Artificial Intelligence in Healthcare and Education (5 papers), Cell Image Analysis Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Obesity, Physical Activity, Diet (3 papers), Telemedicine and Telehealth Implementation (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Health Informatics (91 citations), Biophysics (104 citations), Artificial Intelligence (491 citations), Radiology, Nuclear Medicine and Imaging (293 citations) and Oncology (239 citations). Bethany Williams has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Darren Treanor, Rebecca Randell, Eldo T. Verghese, Catherine Hewitt, Dean McMillan, Rachel Richardson, Laura Manea, Simon Gilbody, Faye Plummer and Brett D. Thombs. Their work appears in journals such as Journal of Clinical Pathology, Journal of Pathology Informatics, Histopathology, Journal of Nutrition Education and Behavior and Archives of Pathology & Laboratory 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.