John A. Onofrey
Impact in
- Health Informatics top 1%
- 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
- Cardiac Imaging and Diagnostics
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 29
- Medical Imaging Techniques and Applications 25
- Advanced MRI Techniques and Applications 16
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- Hepatocellular Carcinoma Treatment and Prognosis 8
- Co-authors
- Chi LiuMichael A. ChomaJames M. CrossLuyao ShiXenophon PapademetrisLawrence H. StaibYihuan LuYi-Hwa Liu
- Journals
- Medical Image Analysis (4 papers)Physics in Medicine and Biology (4 papers)IEEE Transactions on Medical Imaging (4 papers)European Radiology (3 papers)NeuroImage (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
John A. Onofrey
62 papers receiving 866 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Health Informatics 94
- Radiology, Nuclear Medicine and Imaging 610
- Radiation 129
- Computer Vision and Pattern Recognition 133
- Hepatology 42
Countries citing papers authored by John A. Onofrey
This map shows the geographic impact of John A. Onofrey'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 John A. Onofrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Onofrey more than expected).
Fields of papers citing papers by John A. Onofrey
This network shows the impact of papers produced by John A. Onofrey. 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 John A. Onofrey. The network helps show where John A. Onofrey may publish in the future.
Co-authors
The 25 scholars most cited alongside John A. Onofrey, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | Bias in medical AI: Implications for clinical decision-making Hit paper breakdown → | 2024 | 127 |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 48 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 10 | |
| 15 | 2021 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2019 | 38 | |
| 18 | 2019 | 32 | |
| 19 | 2018 | 2 | |
| 20 | A Scalable Algorithm for Structured Kernel Feature Selection | 2015 | 1 |
About John A. Onofrey
John A. Onofrey is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Computer Vision and Pattern Recognition, Radiation and Health Informatics, having authored 69 papers that have together received 880 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (29 papers), Medical Imaging Techniques and Applications (25 papers), Advanced MRI Techniques and Applications (16 papers), Medical Image Segmentation Techniques (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Advanced X-ray and CT Imaging (8 papers), Advanced Neural Network Applications (7 papers) and Advanced Radiotherapy Techniques (6 papers). The work is most often cited by research in Health Informatics (94 citations), Radiology, Nuclear Medicine and Imaging (610 citations), Radiation (129 citations), Computer Vision and Pattern Recognition (133 citations) and Hepatology (42 citations). John A. Onofrey has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Chi Liu, Michael A. Choma, James M. Cross, Luyao Shi, Xenophon Papademetris, Lawrence H. Staib, Yihuan Lu, Yi-Hwa Liu, Yaqiang Liu and Tianyu Ma. Their work appears in journals such as Medical Image Analysis, Physics in Medicine and Biology, IEEE Transactions on Medical Imaging, European Radiology and NeuroImage.
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.