Dulcy Wolverton
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Artificial Intelligence top 2%
- AI in cancer detection
Papers in
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- AI in cancer detection 12
- Oncology 10
- Global Cancer Incidence and Screening 8
- Co-authors
- Maryellen L. Giger (11 shared papers)Zhimin Huo (7 shared papers)Edward A. Sickles (2 shared papers)Carl J. Vyborny (6 shared papers)Katherine E. Dee (1 shared paper)Robert A. Schmidt (3 shared papers)Nola M. Hylton (4 shared papers)Charles E. Metz (4 shared papers)
- Journals
- The American Journal of Surgery (4 papers)Academic Radiology (4 papers)Radiology (3 papers)American Journal of Roentgenology (3 papers)Medical Physics (2 papers)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Dulcy Wolverton
30 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 82
- Radiology, Nuclear Medicine and Imaging 697
- Artificial Intelligence 699
- Pathology and Forensic Medicine 250
- Computer Vision and Pattern Recognition 227
- Cancer Research 150
Countries citing papers authored by Dulcy Wolverton
This map shows the geographic impact of Dulcy Wolverton'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 Dulcy Wolverton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dulcy Wolverton more than expected).
Fields of papers citing papers by Dulcy Wolverton
This network shows the impact of papers produced by Dulcy Wolverton. 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 Dulcy Wolverton. The network helps show where Dulcy Wolverton may publish in the future.
Co-authors
The 25 scholars most cited alongside Dulcy Wolverton, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 206 | |
| 2 | 2002 | 197 | |
| 3 | 1996 | 158 | |
| 4 | 1995 | 131 | |
| 5 | 1998 | 126 | |
| 6 | 2002 | 98 | |
| 7 | 2006 | 92 | |
| 8 | 1995 | 87 | |
| 9 | 2000 | 71 | |
| 10 | 2005 | 62 | |
| 11 | 2005 | 60 | |
| 12 | 1999 | 59 | |
| 13 | 2005 | 51 | |
| 14 | 2000 | 51 | |
| 15 | 2002 | 36 | |
| 16 | 2011 | 19 | |
| 17 | 2021 | 17 | |
| 18 | 1995 | 15 | |
| 19 | 2022 | 13 | |
| 20 | 1996 | 12 |
About Dulcy Wolverton
Dulcy Wolverton is a scholar working on Artificial Intelligence, Oncology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Global Cancer Incidence and Screening (8 papers), Breast Lesions and Carcinomas (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), MRI in cancer diagnosis (4 papers), Breast Cancer Treatment Studies (4 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers) and Cancer and Skin Lesions (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (697 citations), Artificial Intelligence (699 citations), Pathology and Forensic Medicine (250 citations), Computer Vision and Pattern Recognition (227 citations) and Cancer Research (150 citations). Dulcy Wolverton has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Maryellen L. Giger, Zhimin Huo, Edward A. Sickles, Carl J. Vyborny, Katherine E. Dee, Robert A. Schmidt, Nola M. Hylton, Charles E. Metz, Robert M. Nishikawa and Ulrich Bick. Their work appears in journals such as The American Journal of Surgery, Academic Radiology, Radiology, American Journal of Roentgenology and Medical Physics.
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.