Justin Roper
Impact in
- Radiation top 2%
- Advanced Radiotherapy Techniques
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Medical Imaging Techniques and Applications 42
- Radiomics and Machine Learning in Medical Imaging 27
- Radiation Dose and Imaging 15
- Radiation 45
- Advanced Radiotherapy Techniques 45
- Co-authors
- Xiaofeng Yang (72 shared papers)Tonghe Wang (52 shared papers)Yang Lei (43 shared papers)Anees Dhabaan (5 shared papers)Jeffrey M. Switchenko (2 shared papers)Shaoyan Pan (20 shared papers)Chih‐Wei Chang (23 shared papers)Walter J. Curran (16 shared papers)
- Journals
- Medical Physics (29 papers)Physics in Medicine and Biology (17 papers)Medical dosimetry (7 papers)Journal of Applied Clinical Medical Physics (7 papers)Frontiers in Oncology (3 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Justin Roper
79 papers receiving 957 citations
Peers
Comparison fields: 5 of 80
- Radiation 427
- Radiology, Nuclear Medicine and Imaging 643
- Health Informatics 28
- Genetics 108
- Pulmonary and Respiratory Medicine 319
Countries citing papers authored by Justin Roper
This map shows the geographic impact of Justin Roper'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 Justin Roper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Roper more than expected).
Fields of papers citing papers by Justin Roper
This network shows the impact of papers produced by Justin Roper. 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 Justin Roper. The network helps show where Justin Roper may publish in the future.
Co-authors
The 25 scholars most cited alongside Justin Roper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 143 | |
| 2 | 2023 | 67 | |
| 3 | 2023 | 62 | |
| 4 | 2021 | 53 | |
| 5 | 2023 | 52 | |
| 6 | 2018 | 46 | |
| 7 | 2021 | 28 | |
| 8 | 2022 | 26 | |
| 9 | 2022 | 25 | |
| 10 | 2022 | 23 | |
| 11 | 2021 | 20 | |
| 12 | 2021 | 20 | |
| 13 | 2021 | 20 | |
| 14 | 2021 | 18 | |
| 15 | 2024 | 17 | |
| 16 | 2021 | 17 | |
| 17 | 2021 | 17 | |
| 18 | 2021 | 14 | |
| 19 | 2015 | 14 | |
| 20 | 2023 | 14 |
About Justin Roper
Justin Roper is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 93 papers that have together received 972 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (45 papers), Medical Imaging Techniques and Applications (42 papers), Radiomics and Machine Learning in Medical Imaging (27 papers), Advanced X-ray and CT Imaging (25 papers), Radiation Dose and Imaging (15 papers), Advanced Neural Network Applications (13 papers), Lung Cancer Diagnosis and Treatment (12 papers) and Medical Image Segmentation Techniques (9 papers). The work is most often cited by research in Radiation (427 citations), Radiology, Nuclear Medicine and Imaging (643 citations), Health Informatics (28 citations), Genetics (108 citations) and Pulmonary and Respiratory Medicine (319 citations). Justin Roper has collaborated with scholars based in United States and Canada. Frequent co-authors include Xiaofeng Yang, Tonghe Wang, Yang Lei, Anees Dhabaan, Jeffrey M. Switchenko, Shaoyan Pan, Chih‐Wei Chang, Walter J. Curran, Pretesh Patel and Jeffrey D. Bradley. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, Medical dosimetry, Journal of Applied Clinical Medical Physics and Frontiers in Oncology.
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.