Jay A. Baker
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Pathology and Forensic Medicine top 0.5%
- Breast Lesions and Carcinomas
Papers in
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- AI in cancer detection 55
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- Radiomics and Machine Learning in Medical Imaging 20
- MRI in cancer diagnosis 19
- Medical Imaging Techniques and Applications 14
- Co-authors
- Joseph Y. Lo (34 shared papers)Mary Scott Soo (37 shared papers)Eric L. Rosen (16 shared papers)Carey E. Floyd (20 shared papers)Phyllis J. Kornguth (7 shared papers)Maciej A. Mazurowski (6 shared papers)Georgia D. Tourassi (5 shared papers)Jacek M. Zurada (1 shared paper)
- Journals
- American Journal of Roentgenology (26 papers)Academic Radiology (18 papers)Radiology (17 papers)Medical Physics (10 papers)Journal of the American College of Radiology (6 papers)
- Partner nations
- United StatesUnited KingdomArgentina
In The Last Decade
Jay A. Baker
111 papers receiving 4.8k citations
Jay A. Baker's Hit Papers
Peers
Comparison fields: 5 of 181
- Radiology, Nuclear Medicine and Imaging 2.2k
- Pathology and Forensic Medicine 1.4k
- Cancer Research 1.0k
- Artificial Intelligence 2.2k
- Pulmonary and Respiratory Medicine 1.2k
Countries citing papers authored by Jay A. Baker
This map shows the geographic impact of Jay A. Baker'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 Jay A. Baker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay A. Baker more than expected).
Fields of papers citing papers by Jay A. Baker
This network shows the impact of papers produced by Jay A. Baker. 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 Jay A. Baker. The network helps show where Jay A. Baker may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay A. Baker, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance Hit paper breakdown → | 2007 | 553 |
| 2 | 2005 | 269 | |
| 3 | 2003 | 207 | |
| 4 | 1995 | 172 | |
| 5 | 2003 | 151 | |
| 6 | 2004 | 141 | |
| 7 | 1996 | 140 | |
| 8 | 2003 | 134 | |
| 9 | 2002 | 130 | |
| 10 | 2011 | 129 | |
| 11 | 1999 | 113 | |
| 12 | 2015 | 101 | |
| 13 | 2014 | 96 | |
| 14 | 2005 | 94 | |
| 15 | 2007 | 90 | |
| 16 | 1996 | 85 | |
| 17 | 2019 | 85 | |
| 18 | 2015 | 82 | |
| 19 | 2001 | 76 | |
| 20 | 2002 | 72 |
About Jay A. Baker
Jay A. Baker is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 117 papers that have together received 5.0k indexed citations. Recurring topics across this work include AI in cancer detection (55 papers), Breast Lesions and Carcinomas (38 papers), Digital Radiography and Breast Imaging (27 papers), Global Cancer Incidence and Screening (24 papers), Breast Cancer Treatment Studies (23 papers), Radiomics and Machine Learning in Medical Imaging (20 papers), MRI in cancer diagnosis (19 papers) and Medical Imaging Techniques and Applications (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.2k citations), Pathology and Forensic Medicine (1.4k citations), Cancer Research (1.0k citations), Artificial Intelligence (2.2k citations) and Pulmonary and Respiratory Medicine (1.2k citations). Jay A. Baker has collaborated with scholars based in United States, United Kingdom and Argentina. Frequent co-authors include Joseph Y. Lo, Mary Scott Soo, Eric L. Rosen, Carey E. Floyd, Phyllis J. Kornguth, Maciej A. Mazurowski, Georgia D. Tourassi, Jacek M. Zurada, Piotr A. Habas and Ehsan Samei. Their work appears in journals such as American Journal of Roentgenology, Academic Radiology, Radiology, Medical Physics and Journal of the American College 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.