Eranga Ukwatta
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Pulmonary and Respiratory Medicine top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Biomedical Engineering top 10%
- Co-authors
- Fatemeh ZabihollahyAaron FensterMartin RajchlWu QiuJames A. WhiteNicola SchiedaJing YuanSatheesh Krishna
- Topics
- Medical Image Segmentation Techniques (30 papers)Cardiac Imaging and Diagnostics (18 papers)Advanced MRI Techniques and Applications (17 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionHealth Informatics
- Partner nations
- CanadaUnited StatesHong Kong
In The Last Decade
Eranga Ukwatta
89 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Radiology, Nuclear Medicine and Imaging 540
- Computer Vision and Pattern Recognition 410
- Pulmonary and Respiratory Medicine 405
- Cardiology and Cardiovascular Medicine 318
- Biomedical Engineering 271
Countries citing papers authored by Eranga Ukwatta
This map shows the geographic impact of Eranga Ukwatta'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 Eranga Ukwatta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eranga Ukwatta more than expected).
Fields of papers citing papers by Eranga Ukwatta
This network shows the impact of papers produced by Eranga Ukwatta. 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 Eranga Ukwatta. The network helps show where Eranga Ukwatta may publish in the future.
Co-authorship network of co-authors of Eranga Ukwatta
This figure shows the co-authorship network connecting the top 25 collaborators of Eranga Ukwatta. A scholar is included among the top collaborators of Eranga Ukwatta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eranga Ukwatta. Eranga Ukwatta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | 11 | |
| 9 | Effect of Lateral Resolution on Classifying Individual Finger Flexions using Ultrasound | 2 |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 36 | |
| 13 | 17 | |
| 14 | 26 | |
| 15 | 32 | |
| 16 | 13 | |
| 17 | 11 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 60 |
About Eranga Ukwatta
Eranga Ukwatta is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, having authored 91 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (30 papers), Cardiac Imaging and Diagnostics (18 papers) and Advanced MRI Techniques and Applications (17 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (540 citations), Computer Vision and Pattern Recognition (410 citations) and Health Informatics (25 citations). Eranga Ukwatta has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Fatemeh Zabihollahy, Aaron Fenster, Martin Rajchl, Wu Qiu, James A. White, Nicola Schieda, Jing Yuan, Satheesh Krishna, Yue Sun and Grace Párraga. Their work appears in journals such as PLoS ONE, IEEE Access and IEEE Transactions on Medical Imaging.
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.