Gabrielle Baxter
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
Papers in
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- MRI in cancer diagnosis 7
- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 4
- Advanced MRI Techniques and Applications 3
- Advanced Neuroimaging Techniques and Applications 2
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- Digital Radiography and Breast Imaging 2
- Co-authors
- Fiona J. Gilbert (11 shared papers)Sarah Hickman (3 shared papers)Martin J. Graves (4 shared papers)Andrew J. Patterson (3 shared papers)James Mackay (3 shared papers)Ramona Woitek (4 shared papers)Elizabeth Le (1 shared paper)Angelica I. Avilés-Rivero (1 shared paper)
- Journals
- European Radiology (3 papers)British Journal of Cancer (2 papers)Radiology (2 papers)Clinical Radiology (2 papers)British Journal of Radiology (1 paper)
- Partner nations
- United KingdomPortugalAustria
In The Last Decade
Gabrielle Baxter
12 papers receiving 360 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 72
- Radiology, Nuclear Medicine and Imaging 274
- Artificial Intelligence 110
- Cancer Research 37
- Pulmonary and Respiratory Medicine 72
Countries citing papers authored by Gabrielle Baxter
This map shows the geographic impact of Gabrielle Baxter'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 Gabrielle Baxter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabrielle Baxter more than expected).
Fields of papers citing papers by Gabrielle Baxter
This network shows the impact of papers produced by Gabrielle Baxter. 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 Gabrielle Baxter. The network helps show where Gabrielle Baxter may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabrielle Baxter, 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 | 2021 | 82 | |
| 2 | 2021 | 68 | |
| 3 | 2019 | 66 | |
| 4 | 2020 | 46 | |
| 5 | 2020 | 30 | |
| 6 | 2022 | 28 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 11 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2013 | 1 |
About Gabrielle Baxter
Gabrielle Baxter is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Cancer Research and Oncology, having authored 12 papers that have together received 364 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (4 papers), AI in cancer detection (3 papers), Advanced MRI Techniques and Applications (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Breast Cancer Treatment Studies (2 papers) and Digital Radiography and Breast Imaging (2 papers). The work is most often cited by research in Health Informatics (72 citations), Radiology, Nuclear Medicine and Imaging (274 citations), Artificial Intelligence (110 citations), Cancer Research (37 citations) and Pulmonary and Respiratory Medicine (72 citations). Gabrielle Baxter has collaborated with scholars based in United Kingdom, Portugal and Austria. Frequent co-authors include Fiona J. Gilbert, Sarah Hickman, Martin J. Graves, Andrew J. Patterson, James Mackay, Ramona Woitek, Elizabeth Le, Angelica I. Avilés-Rivero, Yu Ri Im and Simon Bond. Their work appears in journals such as European Radiology, British Journal of Cancer, Radiology, Clinical Radiology and British Journal of Radiology.
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.