Jared Vicory
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in ⓘ
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- Morphological variations and asymmetry 10
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- Medical Image Segmentation Techniques 15
- Image Retrieval and Classification Techniques 5
- Co-authors
- Guido Gerig (5 shared papers)Matthew McCormick (5 shared papers)Dženan Zukić (3 shared papers)Paul A. Yushkevich (2 shared papers)Stephen M. Pizer (10 shared papers)J. Eric Schmitt (1 shared paper)İpek Oğuz (1 shared paper)Suyash Mohan (1 shared paper)
- Journals
- Journal of the American Society of Echocardiography (2 papers)Medical Image Analysis (2 papers)Neuroinformatics (1 paper)Circulation Cardiovascular Imaging (1 paper)IEEE Signal Processing Letters (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Jared Vicory
30 papers receiving 313 citations
Peers
Comparison fields: 5 of 86
- Biophysics 33
- Health Informatics 7
- Computer Vision and Pattern Recognition 91
- Radiology, Nuclear Medicine and Imaging 96
- Geometry and Topology 33
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 101 | |
| 2 | 2015 | 29 | |
| 3 | 2018 | 23 | |
| 4 | 2019 | 20 | |
| 5 | 2017 | 20 | |
| 6 | 2017 | 19 | |
| 7 | 2016 | 19 | |
| 8 | 2016 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 9 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2015 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2016 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2024 | 2 |
About Jared Vicory
Jared Vicory is a scholar working on Geometry and Topology, Computer Vision and Pattern Recognition, Health Informatics, Oral Surgery and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 316 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (15 papers), Morphological variations and asymmetry (10 papers), Image Retrieval and Classification Techniques (5 papers), Cardiac Valve Diseases and Treatments (5 papers), Medical Imaging Techniques and Applications (4 papers), AI in cancer detection (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Dental Radiography and Imaging (4 papers). The work is most often cited by research in Biophysics (33 citations), Health Informatics (7 citations), Computer Vision and Pattern Recognition (91 citations), Radiology, Nuclear Medicine and Imaging (96 citations) and Geometry and Topology (33 citations). Jared Vicory has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Guido Gerig, Matthew McCormick, Dženan Zukić, Paul A. Yushkevich, Stephen M. Pizer, J. Eric Schmitt, İpek Oğuz, Suyash Mohan, Nadav Schwartz and Joel M. Stein. Their work appears in journals such as Journal of the American Society of Echocardiography, Medical Image Analysis, Neuroinformatics, Circulation Cardiovascular Imaging 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.