Suria S. Mannil
- Radiology, Nuclear Medicine and Imaging top 5%
- Ophthalmology top 2%
- Biomedical Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- An Ran RanRobert T. ChangCarol Y. CheungClement C. ThamPoemen P. ChanHao ChenXi WangPheng‐Ann Heng
- Topics
- Retinal Imaging and Analysis (12 papers)Glaucoma and retinal disorders (11 papers)Retinal Diseases and Treatments (8 papers)
- Journals
- Investigative Ophthalmology & Visual ScienceBritish Journal of OphthalmologyMedical Image Analysis
- Partner nations
- United StatesHong KongIndia
In The Last Decade
Suria S. Mannil
12 papers receiving 283 citations
Peers
Comparison fields: 5 of 42
- Radiology, Nuclear Medicine and Imaging 254
- Ophthalmology 227
- Biomedical Engineering 52
- Artificial Intelligence 37
- Computer Vision and Pattern Recognition 29
Countries citing papers authored by Suria S. Mannil
This map shows the geographic impact of Suria S. Mannil'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 Suria S. Mannil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suria S. Mannil more than expected).
Fields of papers citing papers by Suria S. Mannil
This network shows the impact of papers produced by Suria S. Mannil. 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 Suria S. Mannil. The network helps show where Suria S. Mannil may publish in the future.
Co-authorship network of co-authors of Suria S. Mannil
This figure shows the co-authorship network connecting the top 25 collaborators of Suria S. Mannil. A scholar is included among the top collaborators of Suria S. Mannil 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 Suria S. Mannil. Suria S. Mannil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 4 | |
| 6 | 30 | |
| 7 | 3 | |
| 8 | 65 | |
| 9 | 49 | |
| 10 | A 3D Deep Learning System for Detecting Glaucomatous Optic Neuropathy from Volumetric and En Face Optical Coherence Tomography Scans | 1 |
| 11 | 103 | |
| 12 | 2 |
About Suria S. Mannil
Suria S. Mannil is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 12 papers that have together received 291 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (12 papers), Glaucoma and retinal disorders (11 papers) and Retinal Diseases and Treatments (8 papers). The work is most often cited by research in Ophthalmology (227 citations), Radiology, Nuclear Medicine and Imaging (254 citations) and Health Informatics (12 citations). Suria S. Mannil has collaborated with scholars based in United States, Hong Kong and India. Frequent co-authors include An Ran Ran, Robert T. Chang, Carol Y. Cheung, Clement C. Tham, Poemen P. Chan, Hao Chen, Xi Wang, Pheng‐Ann Heng, Luyang Luo and M. Wong. Their work appears in journals such as Investigative Ophthalmology & Visual Science, British Journal of Ophthalmology and Medical Image Analysis.
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.