Stephanie A. Harmon

6.5k citations
122 papers · 2.8k indexed · 1 hit paper · h-index 28
Topics
Prostate Cancer Diagnosis and Treatment (58 papers)Prostate Cancer Treatment and Research (56 papers)Radiomics and Machine Learning in Medical Imaging (48 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Stephanie A. Harmon

110 papers receiving 2.8k citations

Hit Papers

Generalizing Deep Learning for Medical Image Segmentation...2020202620222024202050100150200250

Peers

Stephanie A. Harmon
Comparison fields: 5 of 141
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Pulmonary and Respiratory Medicine 1.4k
  • Artificial Intelligence 501
  • Biomedical Engineering 270
  • Computer Vision and Pattern Recognition 269
Replace Timo M. Deist with:
Timo M. Deist Netherlands
Maria João Cardoso Portugal
Pranab Dey India
Raphaël Marée Belgium
Jacob G. Scott United States
Ankur R. Sangoi United States
Gabriele Campanella United States
Nobuyoshi Takeshita Japan
Natalie Shih United States
Cheng Li China
Stephanie A. Harmon relative to Timo M. Deist Netherlands Timo M. Deist's profile →
Citations per field
00.5×5.6×
Timo M. Deist · 1×
Citations per year

Countries citing papers authored by Stephanie A. Harmon

Since Specialization
Citations

This map shows the geographic impact of Stephanie A. Harmon'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 Stephanie A. Harmon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie A. Harmon more than expected).

Fields of papers citing papers by Stephanie A. Harmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie A. Harmon. 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 Stephanie A. Harmon. The network helps show where Stephanie A. Harmon may publish in the future.

Co-authorship network of co-authors of Stephanie A. Harmon

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie A. Harmon. A scholar is included among the top collaborators of Stephanie A. Harmon 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 Stephanie A. Harmon. Stephanie A. Harmon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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4 6
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12 29
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14 7
15
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformationbreakdown →
288
16 7
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19 15
20 6

About Stephanie A. Harmon

Stephanie A. Harmon is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 122 papers that have together received 2.8k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (58 papers), Prostate Cancer Treatment and Research (56 papers) and Radiomics and Machine Learning in Medical Imaging (48 papers). The work is most often cited by research in Health Informatics (155 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations) and Pulmonary and Respiratory Medicine (1.4k citations). Stephanie A. Harmon has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Barış Türkbey, Peter L. Choyke, Nathan R. Campbell, Shawn R. Narum, Bradford J. Wood, Sherif Mehralivand, Thomas Sanford, Peter A. Pinto, Joanna H. Shih and Maria J. Merino. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

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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