Oliver Díaz
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
Papers in
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- Medical Imaging Techniques and Applications 24
- Radiomics and Machine Learning in Medical Imaging 19
- MRI in cancer diagnosis 6
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- Digital Radiography and Breast Imaging 30
- Co-authors
- Robert Martí (17 shared papers)Xavier Lladó (7 shared papers)Moi Hoon Yap (2 shared papers)David R. Dance (15 shared papers)Kenneth C. Young (12 shared papers)Karim Lekadir (20 shared papers)Ioannis Sechopoulos (7 shared papers)Kevin Wells (14 shared papers)
- Journals
- Medical Physics (7 papers)Physics in Medicine and Biology (6 papers)Physica Medica (3 papers)Medical Image Analysis (2 papers)European Journal of Radiology (2 papers)
- Partner nations
- SpainUnited KingdomNetherlands
In The Last Decade
Oliver Díaz
68 papers receiving 990 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 96
- Radiology, Nuclear Medicine and Imaging 584
- Artificial Intelligence 501
- Pulmonary and Respiratory Medicine 328
- Neurology 50
Countries citing papers authored by Oliver Díaz
This map shows the geographic impact of Oliver Díaz'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 Oliver Díaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Díaz more than expected).
Fields of papers citing papers by Oliver Díaz
This network shows the impact of papers produced by Oliver Díaz. 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 Oliver Díaz. The network helps show where Oliver Díaz may publish in the future.
Co-authors
The 25 scholars most cited alongside Oliver Díaz, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 119 | |
| 2 | 2020 | 93 | |
| 3 | 2021 | 84 | |
| 4 | 2024 | 54 | |
| 5 | 2013 | 43 | |
| 6 | 2022 | 43 | |
| 7 | 2014 | 41 | |
| 8 | 2014 | 33 | |
| 9 | 2021 | 32 | |
| 10 | 2021 | 30 | |
| 11 | 2014 | 27 | |
| 12 | 2022 | 26 | |
| 13 | 2017 | 25 | |
| 14 | 2017 | 24 | |
| 15 | 2022 | 19 | |
| 16 | 2021 | 17 | |
| 17 | 2023 | 17 | |
| 18 | 2023 | 16 | |
| 19 | 2023 | 16 | |
| 20 | 2013 | 15 |
About Oliver Díaz
Oliver Díaz is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 73 papers that have together received 1.0k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (30 papers), AI in cancer detection (30 papers), Medical Imaging Techniques and Applications (24 papers), Radiomics and Machine Learning in Medical Imaging (19 papers), Advanced X-ray and CT Imaging (8 papers), MRI in cancer diagnosis (6 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Advanced Radiotherapy Techniques (5 papers). The work is most often cited by research in Health Informatics (96 citations), Radiology, Nuclear Medicine and Imaging (584 citations), Artificial Intelligence (501 citations), Pulmonary and Respiratory Medicine (328 citations) and Neurology (50 citations). Oliver Díaz has collaborated with scholars based in Spain, United Kingdom and Netherlands. Frequent co-authors include Robert Martí, Xavier Lladó, Moi Hoon Yap, David R. Dance, Kenneth C. Young, Karim Lekadir, Ioannis Sechopoulos, Kevin Wells, Alejandro Rodríguez‐Ruiz and Kaisar Kushibar. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, Physica Medica, Medical Image Analysis and European 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.