Gregg Tracton
- Radiology, Nuclear Medicine and Imaging top 5%
- Radiation top 2%
- Computer Vision and Pattern Recognition top 5%
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Co-authors
- Edward L. ChaneyStephen M. PizerJulian RosenmanSarang JoshiLawrence B. MarksKeith E. MullerAndrew ThallP. Thomas Fletcher
- Topics
- Advanced Radiotherapy Techniques (17 papers)Medical Image Segmentation Techniques (12 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
- Journals
- Journal of Clinical OncologyInternational Journal of Radiation Oncology*Biology*PhysicsInternational Journal of Computer Vision
- Partner nations
- United StatesChina
In The Last Decade
Gregg Tracton
51 papers receiving 789 citations
Peers
Comparison fields: 5 of 99
- Radiology, Nuclear Medicine and Imaging 325
- Radiation 300
- Computer Vision and Pattern Recognition 297
- Pulmonary and Respiratory Medicine 188
- Biomedical Engineering 141
Countries citing papers authored by Gregg Tracton
This map shows the geographic impact of Gregg Tracton'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 Gregg Tracton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregg Tracton more than expected).
Fields of papers citing papers by Gregg Tracton
This network shows the impact of papers produced by Gregg Tracton. 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 Gregg Tracton. The network helps show where Gregg Tracton may publish in the future.
Co-authorship network of co-authors of Gregg Tracton
This figure shows the co-authorship network connecting the top 25 collaborators of Gregg Tracton. A scholar is included among the top collaborators of Gregg Tracton 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 Gregg Tracton. Gregg Tracton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 9 | |
| 3 | 7 | |
| 4 | 42 | |
| 5 | 28 | |
| 6 | 2 | |
| 7 | 47 | |
| 8 | 17 | |
| 9 | 60 | |
| 10 | 47 | |
| 11 | 13 | |
| 12 | 11 | |
| 13 | 213 | |
| 14 | 5 | |
| 15 | 63 | |
| 16 | 17 | |
| 17 | 66 | |
| 18 | 12 | |
| 19 | 11 | |
| 20 | 11 |
About Gregg Tracton
Gregg Tracton is a scholar working on Radiation, Medical Laboratory Technology and Radiology, Nuclear Medicine and Imaging, having authored 51 papers that have together received 825 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (17 papers), Medical Image Segmentation Techniques (12 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Radiation (300 citations), Computer Vision and Pattern Recognition (297 citations) and Radiology, Nuclear Medicine and Imaging (325 citations). Gregg Tracton has collaborated with scholars based in United States and China. Frequent co-authors include Edward L. Chaney, Stephen M. Pizer, Julian Rosenman, Sarang Joshi, Lawrence B. Marks, Keith E. Muller, Andrew Thall, P. Thomas Fletcher, T Cullip and Joshua V. Stough. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and International Journal of Computer Vision.
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.