Heather M. Whitney
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Sociology and Political Science top 10%
- Social Psychology top 10%
- Co-authors
- Maryellen L. GigerC. Daniel BatsonQiyuan HuElizabeth R. ThompsonHui LiYu JiPeifang LiuKaren Drukker
- Topics
- Radiomics and Machine Learning in Medical Imaging (26 papers)MRI in cancer diagnosis (20 papers)AI in cancer detection (17 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingInformation Systems and Management
- Partner nations
- United StatesChina
In The Last Decade
Heather M. Whitney
36 papers receiving 780 citations
Peers
Comparison fields: 5 of 100
- Radiology, Nuclear Medicine and Imaging 388
- Artificial Intelligence 292
- Cognitive Neuroscience 191
- Sociology and Political Science 162
- Social Psychology 121
Countries citing papers authored by Heather M. Whitney
This map shows the geographic impact of Heather M. Whitney'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 Heather M. Whitney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather M. Whitney more than expected).
Fields of papers citing papers by Heather M. Whitney
This network shows the impact of papers produced by Heather M. Whitney. 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 Heather M. Whitney. The network helps show where Heather M. Whitney may publish in the future.
Co-authorship network of co-authors of Heather M. Whitney
This figure shows the co-authorship network connecting the top 25 collaborators of Heather M. Whitney. A scholar is included among the top collaborators of Heather M. Whitney 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 Heather M. Whitney. Heather M. Whitney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 63 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 41 | |
| 12 | 25 | |
| 13 | 54 | |
| 14 | 6 | |
| 15 | 45 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 19 | |
| 20 | 40 |
About Heather M. Whitney
Heather M. Whitney is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 42 papers that have together received 827 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (26 papers), MRI in cancer diagnosis (20 papers) and AI in cancer detection (17 papers). The work is most often cited by research in Health Informatics (66 citations), Radiology, Nuclear Medicine and Imaging (388 citations) and Information Systems and Management (92 citations). Heather M. Whitney has collaborated with scholars based in United States and China. Frequent co-authors include Maryellen L. Giger, C. Daniel Batson, Qiyuan Hu, Elizabeth R. Thompson, Hui Li, Yu Ji, Peifang Liu, Karen Drukker, John Papaioannou and Alexandra Edwards. Their work appears in journals such as Journal of Personality and Social Psychology, Proceedings of the IEEE and Scientific Reports.
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.