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 MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
Papers in
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- MRI in cancer diagnosis 4
- Radiomics and Machine Learning in Medical Imaging 3
- Advanced MRI Techniques and Applications 1
- Advanced Neuroimaging Techniques and Applications 1
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- Digital Radiography and Breast Imaging 2
- Co-authors
- Fiona J. Gilbert (12 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 (5 shared papers)Yu Ri Im (1 shared paper)Elizabeth Le (1 shared paper)
- Journals
- European Radiology (3 papers)Clinical Radiology (2 papers)Radiology (2 papers)British Journal of Cancer (2 papers)Lymphatic Research and Biology (1 paper)
- Partner nations
- United KingdomPortugalAustria
In The Last Decade
Gabrielle Baxter
12 papers receiving 380 citations
Peers
Comparison fields: 5 of 67
- Health Informatics 59
- Radiology, Nuclear Medicine and Imaging 225
- Artificial Intelligence 101
- Cancer Research 31
- Pulmonary and Respiratory Medicine 52
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 | 84 | |
| 2 | 2021 | 74 | |
| 3 | 2019 | 68 | |
| 4 | 2020 | 47 | |
| 5 | 2020 | 33 | |
| 6 | 2022 | 31 | |
| 7 | 2020 | 20 | |
| 8 | 2020 | 12 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2013 | 1 | |
| 13 | 2024 | 0 |
About Gabrielle Baxter
Gabrielle Baxter is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Oncology and Health Informatics, having authored 13 papers that have together received 384 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers), Digital Radiography and Breast Imaging (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Advanced MRI Techniques and Applications (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper) and Global Cancer Incidence and Screening (1 paper). The work is most often cited by research in Health Informatics (59 citations), Radiology, Nuclear Medicine and Imaging (225 citations), Artificial Intelligence (101 citations), Cancer Research (31 citations) and Pulmonary and Respiratory Medicine (52 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, Yu Ri Im, Elizabeth Le, Angelica I. Avilés-Rivero and Ewan Gray. Their work appears in journals such as European Radiology, Clinical Radiology, Radiology, British Journal of Cancer and Lymphatic Research and Biology.
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.