Tharindu De Silva
- Ophthalmology top 5%
- Retinal Diseases and Treatments 14
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- Medical Image Segmentation Techniques 17
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- Retinal Imaging and Analysis 9
- Medical Imaging Techniques and Applications 8
- Radiation top 10%
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- Medical Imaging and Analysis 15
- Advanced X-ray and CT Imaging 5
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- Spinal Fractures and Fixation Techniques 9
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- Prostate Cancer Diagnosis and Treatment 6
- Co-authors
- Ali UneriJeffrey H. SiewerdsenCatherine A. CukrasAaron FensterEmily Y. ChewSebastian VogtGerhard KleinszigMichael D. Ketcha
- Cited by
- OphthalmologyComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterología (3 papers)Spine (2 papers)IEEE Transactions on Medical Imaging (4 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Tharindu De Silva
47 papers receiving 446 citations
Peers
Comparison fields: 5 of 64
- Ophthalmology 94
- Computer Vision and Pattern Recognition 158
- Radiology, Nuclear Medicine and Imaging 174
- Health Informatics 9
- Radiation 40
Countries citing papers authored by Tharindu De Silva
This map shows the geographic impact of Tharindu De Silva'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 Tharindu De Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tharindu De Silva more than expected).
Fields of papers citing papers by Tharindu De Silva
This network shows the impact of papers produced by Tharindu De Silva. 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 Tharindu De Silva. The network helps show where Tharindu De Silva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tharindu De Silva, 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 | 2025 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 8 | |
| 5 | Correlations Between AMD Severity and OCT Thickness | 2021 | 1 |
| 6 | 2021 | 16 | |
| 7 | 2021 | 17 | |
| 8 | 2020 | 2 | |
| 9 | 2019 | 4 | |
| 10 | 2019 | 42 | |
| 11 | 2018 | 6 | |
| 12 | 2018 | 10 | |
| 13 | 2017 | 13 | |
| 14 | 2017 | 17 | |
| 15 | 2016 | 19 | |
| 16 | 2014 | 3 | |
| 17 | 2013 | 46 | |
| 18 | 2013 | 5 | |
| 19 | 2011 | 19 | |
| 20 | 2010 | 5 |
About Tharindu De Silva
Tharindu De Silva is a scholar working on Ophthalmology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 463 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (17 papers), Medical Imaging and Analysis (15 papers), Retinal Diseases and Treatments (14 papers), Retinal Imaging and Analysis (9 papers), Spinal Fractures and Fixation Techniques (9 papers), Medical Imaging Techniques and Applications (8 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Advanced X-ray and CT Imaging (5 papers). The work is most often cited by research in Ophthalmology (94 citations), Computer Vision and Pattern Recognition (158 citations) and Radiology, Nuclear Medicine and Imaging (174 citations). Tharindu De Silva has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Ali Uneri, Jeffrey H. Siewerdsen, Catherine A. Cukras, Aaron Fenster, Emily Y. Chew, Sebastian Vogt, Gerhard Kleinszig, Michael D. Ketcha, Aaron D. Ward and Runze Han. Their work appears in journals such as SHILAP Revista de lepidopterología, Spine 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.