Prateek Mathur
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Medical Image Segmentation Techniques
Papers in
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- Medical Image Segmentation Techniques 5
- Augmented Reality Applications 2
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- Artificial Intelligence in Healthcare and Education 1
- Co-authors
- Septimiu E. Salcudean (7 shared papers)Aonghus Lawlor (6 shared papers)Ronan P. Killeen (4 shared papers)Kristen W. Yeom (3 shared papers)Brendan S. Kelly (4 shared papers)Stephanie M. Bollard (1 shared paper)Conor S. Judge (1 shared paper)Gerard M. Healy (1 shared paper)
- Journals
- International Journal of Computer Assisted Radiology and Surgery (3 papers)European Radiology (2 papers)Medical Image Analysis (1 paper)European Journal of Radiology (1 paper)American Journal of Neuroradiology (1 paper)
- Partner nations
- CanadaIrelandUnited States
In The Last Decade
Prateek Mathur
12 papers receiving 372 citations
Peers
Comparison fields: 5 of 61
- Health Informatics 140
- Computer Vision and Pattern Recognition 113
- Radiation 17
- Radiology, Nuclear Medicine and Imaging 42
- Artificial Intelligence 43
Countries citing papers authored by Prateek Mathur
This map shows the geographic impact of Prateek Mathur'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 Prateek Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prateek Mathur more than expected).
Fields of papers citing papers by Prateek Mathur
This network shows the impact of papers produced by Prateek Mathur. 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 Prateek Mathur. The network helps show where Prateek Mathur may publish in the future.
Co-authors
The 25 scholars most cited alongside Prateek Mathur, 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 | 2022 | 173 | |
| 2 | 2019 | 98 | |
| 3 | 2019 | 38 | |
| 4 | 2019 | 15 | |
| 5 | 2019 | 13 | |
| 6 | 2020 | 11 | |
| 7 | 2018 | 8 | |
| 8 | 2024 | 8 | |
| 9 | 2019 | 7 | |
| 10 | 2023 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 0 |
About Prateek Mathur
Prateek Mathur is a scholar working on Computer Vision and Pattern Recognition, Health Informatics, Radiology, Nuclear Medicine and Imaging, Gastroenterology and Neurology, having authored 13 papers that have together received 376 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Teleoperation and Haptic Systems (2 papers), Augmented Reality Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Brain Tumor Detection and Classification (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Acute Ischemic Stroke Management (1 paper) and Social Robot Interaction and HRI (1 paper). The work is most often cited by research in Health Informatics (140 citations), Computer Vision and Pattern Recognition (113 citations), Radiation (17 citations), Radiology, Nuclear Medicine and Imaging (42 citations) and Artificial Intelligence (43 citations). Prateek Mathur has collaborated with scholars based in Canada, Ireland and United States. Frequent co-authors include Septimiu E. Salcudean, Aonghus Lawlor, Ronan P. Killeen, Kristen W. Yeom, Brendan S. Kelly, Stephanie M. Bollard, Conor S. Judge, Gerard M. Healy, Purang Abolmaesumi and Ingrid Spadinger. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, European Radiology, Medical Image Analysis, European Journal of Radiology and American Journal of Neuroradiology.
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.