Bibb Allen
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
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- Radiology practices and education
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Radiology practices and education 36
- Radiation Dose and Imaging 29
- Radiomics and Machine Learning in Medical Imaging 13
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- Artificial Intelligence in Healthcare and Education 19
- Co-authors
- Keith J. Dreyer (13 shared papers)Christoph Wald (14 shared papers)Sheela Agarwal (5 shared papers)Richard Duszak (8 shared papers)Laura P. Coombs (7 shared papers)Curtis P. Langlotz (3 shared papers)Andrew B. Rosenkrantz (8 shared papers)Jayashree Kalpathy–Cramer (3 shared papers)
- Journals
- Journal of the American College of Radiology (50 papers)Radiology (3 papers)Academic Radiology (2 papers)Carcinogenesis (1 paper)British Journal of Radiology (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Bibb Allen
67 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 126
- Health Informatics 507
- Radiology, Nuclear Medicine and Imaging 751
- Health Information Management 52
- Family Practice 13
- Artificial Intelligence 233
Countries citing papers authored by Bibb Allen
This map shows the geographic impact of Bibb Allen'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 Bibb Allen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bibb Allen more than expected).
Fields of papers citing papers by Bibb Allen
This network shows the impact of papers produced by Bibb Allen. 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 Bibb Allen. The network helps show where Bibb Allen may publish in the future.
Co-authors
The 25 scholars most cited alongside Bibb Allen, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 227 | |
| 2 | 2021 | 104 | |
| 3 | 2021 | 83 | |
| 4 | 2019 | 81 | |
| 5 | 2022 | 77 | |
| 6 | 2021 | 57 | |
| 7 | 2009 | 55 | |
| 8 | 2014 | 47 | |
| 9 | 2016 | 46 | |
| 10 | 2024 | 43 | |
| 11 | 2011 | 41 | |
| 12 | 2018 | 40 | |
| 13 | 2005 | 38 | |
| 14 | 2020 | 37 | |
| 15 | 2018 | 31 | |
| 16 | 2024 | 29 | |
| 17 | 2024 | 25 | |
| 18 | 2019 | 22 | |
| 19 | 2019 | 21 | |
| 20 | 2023 | 19 |
About Bibb Allen
Bibb Allen is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Biomedical Engineering, General Health Professions and Economics and Econometrics, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radiology practices and education (36 papers), Radiation Dose and Imaging (29 papers), Artificial Intelligence in Healthcare and Education (19 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Healthcare cost, quality, practices (11 papers), Healthcare Policy and Management (10 papers), Advanced X-ray and CT Imaging (6 papers) and Climate Change and Health Impacts (6 papers). The work is most often cited by research in Health Informatics (507 citations), Radiology, Nuclear Medicine and Imaging (751 citations), Health Information Management (52 citations), Family Practice (13 citations) and Artificial Intelligence (233 citations). Bibb Allen has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Keith J. Dreyer, Christoph Wald, Sheela Agarwal, Richard Duszak, Laura P. Coombs, Curtis P. Langlotz, Andrew B. Rosenkrantz, Jayashree Kalpathy–Cramer, Krishna Kandarpa and Danny R. Hughes. Their work appears in journals such as Journal of the American College of Radiology, Radiology, Academic Radiology, Carcinogenesis and British 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.