Fabíola Macruz
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
Papers in
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- Medical Imaging Techniques and Applications 2
- Advanced MRI Techniques and Applications 2
- Radiomics and Machine Learning in Medical Imaging 2
- Radiology practices and education 1
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- Artificial Intelligence in Healthcare and Education 2
- Co-authors
- Kathleen L. Poston (2 shared papers)Enhao Gong (2 shared papers)Elizabeth C. Mormino (2 shared papers)Shyam M. Srinivas (2 shared papers)Junshen Xu (2 shared papers)Sharon J. Sha (2 shared papers)Athanasia Boumis (2 shared papers)Greg Zaharchuk (2 shared papers)
- Journals
- Radiology (2 papers)Radiology Artificial Intelligence (2 papers)Scientific Reports (1 paper)Brain and Behavior (1 paper)Physics in Medicine and Biology (1 paper)
- Partner nations
- United StatesBrazilJapan
In The Last Decade
Fabíola Macruz
11 papers receiving 451 citations
Peers
Comparison fields: 5 of 46
- Health Informatics 23
- Radiology, Nuclear Medicine and Imaging 304
- Radiation 53
- Neurology 23
- Critical Care and Intensive Care Medicine 13
Countries citing papers authored by Fabíola Macruz
This map shows the geographic impact of Fabíola Macruz'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 Fabíola Macruz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabíola Macruz more than expected).
Fields of papers citing papers by Fabíola Macruz
This network shows the impact of papers produced by Fabíola Macruz. 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 Fabíola Macruz. The network helps show where Fabíola Macruz may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabíola Macruz, 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 | 2018 | 206 | |
| 2 | 2020 | 120 | |
| 3 | 2020 | 25 | |
| 4 | 2022 | 21 | |
| 5 | 2018 | 20 | |
| 6 | 2021 | 18 | |
| 7 | 2023 | 17 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 1 | |
| 12 | 2024 | 0 |
About Fabíola Macruz
Fabíola Macruz is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Epidemiology, Physical Therapy, Sports Therapy and Rehabilitation and Critical Care and Intensive Care Medicine, having authored 12 papers that have together received 456 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (2 papers), Advanced MRI Techniques and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Traumatic Brain Injury Research (2 papers), Acute Ischemic Stroke Management (2 papers), Medical Imaging and Analysis (1 paper) and Radiology practices and education (1 paper). The work is most often cited by research in Health Informatics (23 citations), Radiology, Nuclear Medicine and Imaging (304 citations), Radiation (53 citations), Neurology (23 citations) and Critical Care and Intensive Care Medicine (13 citations). Fabíola Macruz has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Kathleen L. Poston, Enhao Gong, Elizabeth C. Mormino, Shyam M. Srinivas, Junshen Xu, Sharon J. Sha, Athanasia Boumis, Greg Zaharchuk, John M. Pauly and Kevin T. Chen. Their work appears in journals such as Radiology, Radiology Artificial Intelligence, Scientific Reports, Brain and Behavior and Physics in Medicine 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.