Dianne Georgian-Smith
- Pathology and Forensic Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cancer Research top 5%
- Artificial Intelligence top 5%
- Oncology
- Co-authors
- Thomas J. LawtonEren D. YehElizabeth A. RaffertyDaniel B. KopansElkan F. HalpernRichard H. MooreAlphonse G. TaghianLinda Moy
- Topics
- Breast Lesions and Carcinomas (19 papers)AI in cancer detection (17 papers)Breast Cancer Treatment Studies (11 papers)
- Journals
- RadiologyInternational Journal of Radiation Oncology*Biology*PhysicsAmerican Journal of Roentgenology
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Dianne Georgian-Smith
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 72
- Pathology and Forensic Medicine 595
- Radiology, Nuclear Medicine and Imaging 512
- Cancer Research 464
- Artificial Intelligence 202
- Oncology 191
Countries citing papers authored by Dianne Georgian-Smith
This map shows the geographic impact of Dianne Georgian-Smith'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 Dianne Georgian-Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianne Georgian-Smith more than expected).
Fields of papers citing papers by Dianne Georgian-Smith
This network shows the impact of papers produced by Dianne Georgian-Smith. 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 Dianne Georgian-Smith. The network helps show where Dianne Georgian-Smith may publish in the future.
Co-authorship network of co-authors of Dianne Georgian-Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Dianne Georgian-Smith. A scholar is included among the top collaborators of Dianne Georgian-Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dianne Georgian-Smith. Dianne Georgian-Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 13 | |
| 3 | 3 | |
| 4 | 22 | |
| 5 | 33 | |
| 6 | Breast Imaging and Pathologic Correlations: A Pattern-Based Approach | 2 |
| 7 | 34 | |
| 8 | 45 | |
| 9 | 40 | |
| 10 | 30 | |
| 11 | 7 | |
| 12 | 27 | |
| 13 | 13 | |
| 14 | 25 | |
| 15 | 6 | |
| 16 | 89 | |
| 17 | 112 | |
| 18 | 1 | |
| 19 | 33 | |
| 20 | 4 |
About Dianne Georgian-Smith
Dianne Georgian-Smith is a scholar working on Pathology and Forensic Medicine, Cancer Research and Artificial Intelligence, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (19 papers), AI in cancer detection (17 papers) and Breast Cancer Treatment Studies (11 papers). The work is most often cited by research in Pathology and Forensic Medicine (595 citations), Cancer Research (464 citations) and Radiology, Nuclear Medicine and Imaging (512 citations). Dianne Georgian-Smith has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Thomas J. Lawton, Eren D. Yeh, Elizabeth A. Rafferty, Daniel B. Kopans, Elkan F. Halpern, Richard H. Moore, Alphonse G. Taghian, Linda Moy, Priscilla J. Slanetz and Irene Kuter. Their work appears in journals such as Radiology, International Journal of Radiation Oncology*Biology*Physics and American Journal of Roentgenology.
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.