Fred Prior
Impact in
- Health Informatics top 0.2%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 21
- Medical Imaging Techniques and Applications 10
-
- Digital Radiography and Breast Imaging 17
- Lung Cancer Diagnosis and Treatment 9
- Co-authors
- Kirk Smith (17 shared papers)Justin Kirby (8 shared papers)John Freymann (7 shared papers)Lawrence Tarbox (10 shared papers)Stephen Moore (7 shared papers)Kenneth Clark (4 shared papers)Bruce A. Vendt (4 shared papers)Paul Koppel (4 shared papers)
- Journals
- Journal of Digital Imaging (11 papers)Medical Physics (3 papers)Scientific Reports (3 papers)Scientific Data (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Fred Prior
113 papers receiving 6.3k citations
Fred Prior's Hit Papers
Peers
Comparison fields: 5 of 172
- Health Informatics 320
- Radiology, Nuclear Medicine and Imaging 2.7k
- Neurology 398
- Cognitive Neuroscience 904
- Computer Vision and Pattern Recognition 844
Countries citing papers authored by Fred Prior
This map shows the geographic impact of Fred Prior'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 Fred Prior with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Prior more than expected).
Fields of papers citing papers by Fred Prior
This network shows the impact of papers produced by Fred Prior. 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 Fred Prior. The network helps show where Fred Prior may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred Prior, 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository Hit paper breakdown → | 2013 | 3031 |
| 2 | 2011 | 431 | |
| 3 | 2009 | 358 | |
| 4 | 1997 | 259 | |
| 5 | 2022 | 176 | |
| 6 | 2005 | 165 | |
| 7 | 2013 | 157 | |
| 8 | 2018 | 148 | |
| 9 | 2020 | 100 | |
| 10 | 2017 | 96 | |
| 11 | 2021 | 84 | |
| 12 | 2013 | 82 | |
| 13 | 2014 | 76 | |
| 14 | 2009 | 64 | |
| 15 | 2013 | 55 | |
| 16 | 2015 | 54 | |
| 17 | 2007 | 52 | |
| 18 | 2016 | 47 | |
| 19 | 2009 | 44 | |
| 20 | 2021 | 42 |
About Fred Prior
Fred Prior is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Molecular Biology and Biomedical Engineering, having authored 118 papers that have together received 6.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (21 papers), Digital Radiography and Breast Imaging (17 papers), AI in cancer detection (12 papers), Diabetic Foot Ulcer Assessment and Management (10 papers), Medical Imaging Techniques and Applications (10 papers), Biomedical Text Mining and Ontologies (10 papers), Functional Brain Connectivity Studies (9 papers) and Lung Cancer Diagnosis and Treatment (9 papers). The work is most often cited by research in Health Informatics (320 citations), Radiology, Nuclear Medicine and Imaging (2.7k citations), Neurology (398 citations), Cognitive Neuroscience (904 citations) and Computer Vision and Pattern Recognition (844 citations). Fred Prior has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Kirk Smith, Justin Kirby, John Freymann, Lawrence Tarbox, Stephen Moore, Kenneth Clark, Bruce A. Vendt, Paul Koppel, Michael Pringle and Linda Larson‐Prior. Their work appears in journals such as Journal of Digital Imaging, Medical Physics, Scientific Reports, Scientific Data and Proceedings of the National Academy of Sciences.
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.