Heather M. Whitney

1.3k total citations
42 papers, 827 citations indexed

About

Heather M. Whitney is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Health Informatics. According to data from OpenAlex, Heather M. Whitney has authored 42 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Artificial Intelligence and 6 papers in Health Informatics. Recurrent topics in Heather M. Whitney's work include Radiomics and Machine Learning in Medical Imaging (26 papers), MRI in cancer diagnosis (20 papers) and AI in cancer detection (17 papers). Heather M. Whitney is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (26 papers), MRI in cancer diagnosis (20 papers) and AI in cancer detection (17 papers). Heather M. Whitney collaborates with scholars based in United States and China. Heather M. Whitney's co-authors include Maryellen L. Giger, C. Daniel Batson, Qiyuan Hu, Elizabeth R. Thompson, Peifang Liu, Yu Ji, Hui Li, Karen Drukker, Alexandra Edwards and John Papaioannou and has published in prestigious journals such as Journal of Personality and Social Psychology, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

Heather M. Whitney

36 papers receiving 780 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Heather M. Whitney United States	11	388	292	191	162	121	42	827
Harini Suresh United States	11	90 0.2×	225 0.8×	24 0.1×	61 0.4×	23 0.2×	18	616
Damian Eke United Kingdom	11	68 0.2×	240 0.8×	80 0.4×	69 0.4×	15 0.1×	26	777
Peter Dabrock Germany	10	29 0.1×	94 0.3×	47 0.2×	128 0.8×	13 0.1×	70	939
Honor J. Passow United States	13	28 0.1×	53 0.2×	58 0.3×	31 0.2×	104 0.9×	23	1.4k
Kaibin Xu China	16	182 0.5×	27 0.1×	247 1.3×	175 1.1×	49 0.4×	44	823
Shannon Tan Australia	8	181 0.5×	562 1.9×	11 0.1×	61 0.4×	46 0.4×	24	1.4k
Samson Tan Australia	4	181 0.5×	552 1.9×	11 0.1×	52 0.3×	39 0.3×	4	1.3k
Alexandra Chouldechova United States	13	17 0.0×	260 0.9×	44 0.2×	159 1.0×	22 0.2×	32	849
Stephen Pfohl United States	16	38 0.1×	214 0.7×	20 0.1×	410 2.5×	79 0.7×	38	1.2k
Karen Huang United States	10	12 0.0×	107 0.4×	93 0.5×	145 0.9×	104 0.9×	13	704

Countries citing papers authored by Heather M. Whitney

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Whitney, Heather M., Hui Li, Jacques S. Abramowicz, et al.. (2025). Hybrid artificial intelligence echogenic components‐based diagnosis of adnexal masses on ultrasound. Medical Physics. 52(7). e17983–e17983.

Whitney, Heather M., Christopher Meyer, Hui Li, et al.. (2025). Multimodal data curation via interoperability: use cases with the Medical Imaging and Data Resource Center. Scientific Data. 12(1). 1340–1340.

Drukker, Karen, Berkman Sahiner, Grace Hyun J. Kim, et al.. (2024). MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis. Journal of Medical Imaging. 11(2). 24504–24504. 1 indexed citations

Whitney, Heather M., Jacques S. Abramowicz, Lan Li, et al.. (2024). AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging. Journal of Medical Imaging. 11(4). 44505–44505. 2 indexed citations

Drukker, Karen, Berkman Sahiner, Grace H. Kim, et al.. (2023). Assistance tools for the evaluation of machine learning algorithm performance: the decision tree based tools developed by the Medical Imaging and Data Resource Center (MIDRC) Technology Development Project (TDP) 3c effort. 34. 12–12. 2 indexed citations

Drukker, Karen, Weijie Chen, Judy Wawira Gichoya, et al.. (2023). Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment. Journal of Medical Imaging. 10(6). 61104–61104. 63 indexed citations

Ji, Yu, Heather M. Whitney, Hui Li, et al.. (2023). Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI. Radiology. 307(1). e220984–e220984. 15 indexed citations

Whitney, Heather M., Karen Drukker, Berkman Sahiner, et al.. (2023). Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons. Journal of Medical Imaging. 10(6). 8 indexed citations

Li, Hui, et al.. (2023). Predicting intensive care need for COVID-19 patients using deep learning on chest radiography. Journal of Medical Imaging. 10(4). 44504–44504. 3 indexed citations

10.

Hu, Qiyuan, Heather M. Whitney, Hui Li, et al.. (2021). Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI. Radiology Artificial Intelligence. 3(3). e200159–e200159. 41 indexed citations

11.

Hu, Qiyuan, Heather M. Whitney, & Maryellen L. Giger. (2020). Radiomics methodology for breast cancer diagnosis using multiparametric magnetic resonance imaging. Journal of Medical Imaging. 7(4). 44502–44502. 25 indexed citations

12.

Whitney, Heather M., Hui Li, Yu Ji, Peifang Liu, & Maryellen L. Giger. (2019). Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods. Proceedings of the IEEE. 108(1). 163–177. 54 indexed citations

13.

Whitney, Heather M., Karen Drukker, Alexandra Edwards, John Papaioannou, & Maryellen L. Giger. (2018). Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths. 9–9. 6 indexed citations

14.

Whitney, Heather M.. (2018). Search Engines, Social Media, and the Editorial Analogy. SSRN Electronic Journal.

15.

Whitney, Heather M., Karen Drukker, Alexandra Edwards, John Papaioannou, & Maryellen L. Giger. (2018). Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. 2. 62–62. 3 indexed citations

16.

Hunt, Brian E., et al.. (2016). Accuracy and robustness of a simple algorithm to measure vessel diameter from B-mode ultrasound images. Journal of Applied Physiology. 120(11). 1374–1379. 2 indexed citations

17.

Whitney, Heather M., Daniel F. Gochberg, & John C. Gore. (2008). Magnetization transfer proportion: a simplified measure of dose response for polymer gel dosimetry. Physics in Medicine and Biology. 53(24). 7107–7124. 4 indexed citations

18.

Luci, Jeffrey J., Heather M. Whitney, & John C. Gore. (2007). Optimization of MAGIC gel formulation for three-dimensional radiation therapy dosimetry. Physics in Medicine and Biology. 52(10). N241–N248. 19 indexed citations

19.

Whitney, Heather M. & John C. Gore. (2006). Measurement of particle size in polymer gel dosimeters using spectrophotometry. Journal of Physics Conference Series. 56. 160–163. 3 indexed citations

20.

Batson, C. Daniel, et al.. (1999). Moral hypocrisy: Appearing moral to oneself without being so.. Journal of Personality and Social Psychology. 77(3). 525–537. 40 indexed citations

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.

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