Meredith Jones
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Radiomics and Machine Learning in Medical Imaging 9
- COVID-19 diagnosis using AI 2
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- AI in cancer detection 9
- Co-authors
- Bin Zheng (10 shared papers)Lacey R. McNally (5 shared papers)Yuchen Qiu (4 shared papers)Shelley Marshall (5 shared papers)Richard Mitchell (4 shared papers)Marni Sommer (2 shared papers)William M. MacCuaig (3 shared papers)Oshaani Abeyakoon (1 shared paper)
- Journals
- Scientific Reports (1 paper)Medical Physics (1 paper)BMJ Global Health (1 paper)ACS Nano (1 paper)Biomedicines (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Meredith Jones
26 papers receiving 336 citations
Peers
Comparison fields: 5 of 117
- Health Informatics 10
- Radiology, Nuclear Medicine and Imaging 99
- Artificial Intelligence 70
- Biomedical Engineering 81
- Strategy and Management 25
Countries citing papers authored by Meredith Jones
This map shows the geographic impact of Meredith Jones'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 Meredith Jones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meredith Jones more than expected).
Fields of papers citing papers by Meredith Jones
This network shows the impact of papers produced by Meredith Jones. 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 Meredith Jones. The network helps show where Meredith Jones may publish in the future.
Co-authors
The 25 scholars most cited alongside Meredith Jones, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 38 | |
| 2 | 2020 | 33 | |
| 3 | 2017 | 32 | |
| 4 | 2007 | 30 | |
| 5 | 2017 | 30 | |
| 6 | 2022 | 27 | |
| 7 | 2022 | 22 | |
| 8 | 2019 | 20 | |
| 9 | 2020 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2019 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2021 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2007 | 6 | |
| 17 | 2007 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2008 | 4 | |
| 20 | 2016 | 3 |
About Meredith Jones
Meredith Jones is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 347 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Nanoplatforms for cancer theranostics (2 papers), COVID-19 diagnosis using AI (2 papers), Menstrual Health and Disorders (2 papers), Brain Tumor Detection and Classification (2 papers) and Legal principles and applications (2 papers). The work is most often cited by research in Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (99 citations), Artificial Intelligence (70 citations), Biomedical Engineering (81 citations) and Strategy and Management (25 citations). Meredith Jones has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Bin Zheng, Lacey R. McNally, Yuchen Qiu, Shelley Marshall, Richard Mitchell, Marni Sommer, William M. MacCuaig, Oshaani Abeyakoon, Xuxin Chen and Bahareh Behkam. Their work appears in journals such as Scientific Reports, Medical Physics, BMJ Global Health, ACS Nano and Biomedicines.
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.