Petro Kostandy
Impact in
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Medical Imaging Techniques and Applications 2
- Radiology practices and education 2
- Radiation Dose and Imaging 1
- COVID-19 diagnosis using AI 1
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- Medical Image Segmentation Techniques 2
- Co-authors
- Bradley J. Erickson (5 shared papers)Kenneth A. Philbrick (5 shared papers)Alexander D. Weston (3 shared papers)Naoki Takahashi (3 shared papers)Panagiotis Korfiatis (3 shared papers)Tomas Sakinis (2 shared papers)Timothy L. Kline (2 shared papers)Motokazu Sugimoto (1 shared paper)
- Journals
- Medical Physics (1 paper)Journal of Digital Imaging (1 paper)Radiology (1 paper)Academic Radiology (1 paper)JAMA Facial Plastic Surgery (1 paper)
- Partner nations
- United StatesNorwayThailand
In The Last Decade
Petro Kostandy
8 papers receiving 441 citations
Peers
Comparison fields: 5 of 99
- Health Informatics 23
- Radiology, Nuclear Medicine and Imaging 218
- Geriatrics and Gerontology 34
- Physiology 111
- Computer Vision and Pattern Recognition 54
Countries citing papers authored by Petro Kostandy
This map shows the geographic impact of Petro Kostandy'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 Petro Kostandy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petro Kostandy more than expected).
Fields of papers citing papers by Petro Kostandy
This network shows the impact of papers produced by Petro Kostandy. 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 Petro Kostandy. The network helps show where Petro Kostandy may publish in the future.
Co-authors
The 25 scholars most cited alongside Petro Kostandy, 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 | 2018 | 248 | |
| 2 | 2019 | 78 | |
| 3 | 2019 | 32 | |
| 4 | 2015 | 31 | |
| 5 | 2020 | 22 | |
| 6 | 2019 | 19 | |
| 7 | 2018 | 11 | |
| 8 | Development of data integration and visualization tools for the Department of Radiology to display operational and strategic metrics. | 2018 | 5 |
About Petro Kostandy
Petro Kostandy is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Neurology, Biomedical Engineering and Surgery, having authored 8 papers that have together received 446 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (2 papers), Brain Tumor Detection and Classification (2 papers), Medical Image Segmentation Techniques (2 papers), Radiology practices and education (2 papers), Radiation Dose and Imaging (1 paper), Reconstructive Facial Surgery Techniques (1 paper), COVID-19 diagnosis using AI (1 paper) and Body Composition Measurement Techniques (1 paper). The work is most often cited by research in Health Informatics (23 citations), Radiology, Nuclear Medicine and Imaging (218 citations), Geriatrics and Gerontology (34 citations), Physiology (111 citations) and Computer Vision and Pattern Recognition (54 citations). Petro Kostandy has collaborated with scholars based in United States, Norway and Thailand. Frequent co-authors include Bradley J. Erickson, Kenneth A. Philbrick, Alexander D. Weston, Naoki Takahashi, Panagiotis Korfiatis, Tomas Sakinis, Timothy L. Kline, Motokazu Sugimoto, Zeynettin Akkus and Arunnit Boonrod. Their work appears in journals such as Medical Physics, Journal of Digital Imaging, Radiology, Academic Radiology and JAMA Facial Plastic Surgery.
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.