Avice M. O’Connell
Impact in
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- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
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- Digital Radiography and Breast Imaging
Papers in
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- Medical Imaging Techniques and Applications 9
- Radiomics and Machine Learning in Medical Imaging 7
- MRI in cancer diagnosis 6
- Ultrasound Imaging and Elastography 4
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- Digital Radiography and Breast Imaging 17
- Co-authors
- Andrew Karellas (7 shared papers)Srinivasan Vedantham (7 shared papers)Linxi Shi (4 shared papers)David L. Conover (4 shared papers)Ruola Ning (2 shared papers)Posy Seifert (1 shared paper)Yan Zhang (1 shared paper)Wende Logan-Young (1 shared paper)
- Journals
- Medical Physics (4 papers)European Radiology (3 papers)Machine Learning Science and Technology (2 papers)Journal of Ultrasound in Medicine (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesChinaPeru
In The Last Decade
Avice M. O’Connell
39 papers receiving 765 citations
Peers
Comparison fields: 5 of 53
- Radiology, Nuclear Medicine and Imaging 355
- Pulmonary and Respiratory Medicine 369
- Radiation 42
- Health Informatics 6
- Cancer Research 50
Countries citing papers authored by Avice M. O’Connell
This map shows the geographic impact of Avice M. O’Connell'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 Avice M. O’Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avice M. O’Connell more than expected).
Fields of papers citing papers by Avice M. O’Connell
This network shows the impact of papers produced by Avice M. O’Connell. 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 Avice M. O’Connell. The network helps show where Avice M. O’Connell may publish in the future.
Co-authors
The 25 scholars most cited alongside Avice M. O’Connell, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 169 | |
| 2 | 2014 | 64 | |
| 3 | 2012 | 61 | |
| 4 | 2012 | 56 | |
| 5 | 2013 | 40 | |
| 6 | 2021 | 39 | |
| 7 | 2013 | 39 | |
| 8 | 2021 | 36 | |
| 9 | 2017 | 32 | |
| 10 | 2021 | 30 | |
| 11 | 2020 | 24 | |
| 12 | 2014 | 19 | |
| 13 | 2011 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2011 | 15 | |
| 16 | 2022 | 13 | |
| 17 | 2012 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2012 | 10 |
About Avice M. O’Connell
Avice M. O’Connell is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Pathology and Forensic Medicine and Cancer Research, having authored 42 papers that have together received 781 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (17 papers), AI in cancer detection (13 papers), Breast Lesions and Carcinomas (12 papers), Medical Imaging Techniques and Applications (9 papers), Breast Cancer Treatment Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (6 papers) and Ultrasound Imaging and Elastography (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (355 citations), Pulmonary and Respiratory Medicine (369 citations), Radiation (42 citations), Health Informatics (6 citations) and Cancer Research (50 citations). Avice M. O’Connell has collaborated with scholars based in United States, China and Peru. Frequent co-authors include Andrew Karellas, Srinivasan Vedantham, Linxi Shi, David L. Conover, Ruola Ning, Posy Seifert, Yan Zhang, Wende Logan-Young, Lawrence G. Sahler and Kevin J. Parker. Their work appears in journals such as Medical Physics, European Radiology, Machine Learning Science and Technology, Journal of Ultrasound in Medicine and Journal of Clinical Oncology.
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.