Jared Vicory
Impact in
- Geometry and Topology top 5%
- Morphological variations and asymmetry
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- Medical Image Segmentation Techniques 16
- Image Retrieval and Classification Techniques 5
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- Morphological variations and asymmetry 13
- Co-authors
- Stephen M. Pizer (12 shared papers)Guido Gerig (5 shared papers)Matthew McCormick (5 shared papers)Dženan Zukić (3 shared papers)Paul A. Yushkevich (2 shared papers)James Damon (5 shared papers)Jun-Pyo Hong (5 shared papers)Beatriz Paniagua (19 shared papers)
- Journals
- Journal of the American Society of Echocardiography (2 papers)Medical Image Analysis (2 papers)IEEE Transactions on Medical Imaging (1 paper)Computerized Medical Imaging and Graphics (1 paper)IEEE Signal Processing Letters (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Jared Vicory
32 papers receiving 403 citations
Peers
Comparison fields: 5 of 85
- Geometry and Topology 82
- Biophysics 37
- Computer Vision and Pattern Recognition 121
- Health Informatics 7
- Radiology, Nuclear Medicine and Imaging 80
Countries citing papers authored by Jared Vicory
This map shows the geographic impact of Jared Vicory'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 Jared Vicory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared Vicory more than expected).
Fields of papers citing papers by Jared Vicory
This network shows the impact of papers produced by Jared Vicory. 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 Jared Vicory. The network helps show where Jared Vicory may publish in the future.
Co-authors
The 25 scholars most cited alongside Jared Vicory, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 105 | |
| 2 | 2012 | 44 | |
| 3 | 2015 | 29 | |
| 4 | 2017 | 27 | |
| 5 | 2018 | 25 | |
| 6 | 2019 | 24 | |
| 7 | 2016 | 20 | |
| 8 | 2017 | 20 | |
| 9 | 2016 | 17 | |
| 10 | 2019 | 14 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2016 | 5 | |
| 16 | 2015 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2015 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2021 | 4 |
About Jared Vicory
Jared Vicory is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 406 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Morphological variations and asymmetry (13 papers), 3D Shape Modeling and Analysis (5 papers), Image Retrieval and Classification Techniques (5 papers), Medical Imaging Techniques and Applications (4 papers), Dental Radiography and Imaging (4 papers), Cardiac Valve Diseases and Treatments (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Geometry and Topology (82 citations), Biophysics (37 citations), Computer Vision and Pattern Recognition (121 citations), Health Informatics (7 citations) and Radiology, Nuclear Medicine and Imaging (80 citations). Jared Vicory has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Stephen M. Pizer, Guido Gerig, Matthew McCormick, Dženan Zukić, Paul A. Yushkevich, James Damon, Jun-Pyo Hong, Beatriz Paniagua, Martin Styner and Yang Gao. Their work appears in journals such as Journal of the American Society of Echocardiography, Medical Image Analysis, IEEE Transactions on Medical Imaging, Computerized Medical Imaging and Graphics and IEEE Signal Processing Letters.
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.