Jerry L. Prince
- Computer Vision and Pattern Recognition top 0.05%
- Medical Image Segmentation Techniques 167
- Advanced Vision and Imaging 35
- Radiology, Nuclear Medicine and Imaging top 0.02%
- Advanced MRI Techniques and Applications 147
- Advanced Neuroimaging Techniques and Applications 122
- Medical Imaging Techniques and Applications 76
- Retinal Imaging and Analysis 40
- Cardiac Imaging and Diagnostics 36
- Neurology top 0.5%
- Biophysics top 0.2%
- Media Technology top 0.2%
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- Optical Coherence Tomography Applications 37
- Co-authors
- Chenyang XuDzung L. PhamAaron CarassElliot R. McVeighNael F. OsmanChristos DavatzikosPeter A. CalabresiBennett A. Landman
- Journals
- Circulation (2 papers)SHILAP Revista de lepidopterología (4 papers)Journal of the American College of Cardiology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Jerry L. Prince
556 papers receiving 21.0k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Computer Vision and Pattern Recognition 9.0k
- Radiology, Nuclear Medicine and Imaging 9.7k
- Neurology 1.4k
- Biophysics 894
- Media Technology 1.1k
Countries citing papers authored by Jerry L. Prince
This map shows the geographic impact of Jerry L. Prince'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 Jerry L. Prince with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerry L. Prince more than expected).
Fields of papers citing papers by Jerry L. Prince
This network shows the impact of papers produced by Jerry L. Prince. 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 Jerry L. Prince. The network helps show where Jerry L. Prince may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jerry L. Prince, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 9 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 33 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 48 | |
| 13 | 2020 | 29 | |
| 14 | 2020 | 58 | |
| 15 | 2020 | 24 | |
| 16 | 2019 | 72 | |
| 17 | 2019 | 21 | |
| 18 | 2019 | 30 | |
| 19 | 2018 | 12 | |
| 20 | 2007 | 297 |
About Jerry L. Prince
Jerry L. Prince is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Computational Mathematics, having authored 582 papers that have together received 21.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (167 papers), Advanced MRI Techniques and Applications (147 papers), Advanced Neuroimaging Techniques and Applications (122 papers), Medical Imaging Techniques and Applications (76 papers), Retinal Imaging and Analysis (40 papers), Optical Coherence Tomography Applications (37 papers), Cardiac Imaging and Diagnostics (36 papers) and Advanced Vision and Imaging (35 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.0k citations), Radiology, Nuclear Medicine and Imaging (9.7k citations) and Neurology (1.4k citations). Jerry L. Prince has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Chenyang Xu, Dzung L. Pham, Chenyang Xu, Aaron Carass, Elliot R. McVeigh, Nael F. Osman, Christos Davatzikos, Peter A. Calabresi, Chenyang Xu and Bennett A. Landman. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.