Kevin Noronha
- Ophthalmology top 1%
- Glaucoma and retinal disorders 12
- Retinal Diseases and Treatments 10
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- Retinal Imaging and Analysis 19
- Radiomics and Machine Learning in Medical Imaging 3
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- Digital Imaging for Blood Diseases 10
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- Brain Tumor Detection and Classification 4
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- AI in cancer detection 4
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- Optical Wireless Communication Technologies 2
- Co-authors
- Sulatha V. BhandaryU. Rajendra AcharyaK. Prabhakar NayakRoshan Joy MartisE. Y. K. NgLim Choo MinJoel E.W. KohMuthu Rama Krishnan Mookiah
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
In The Last Decade
Kevin Noronha
24 papers receiving 594 citations
Peers
Comparison fields: 5 of 53
- Ophthalmology 436
- Radiology, Nuclear Medicine and Imaging 561
- Computer Vision and Pattern Recognition 311
- Health Information Management 43
- Neurology 31
Countries citing papers authored by Kevin Noronha
This map shows the geographic impact of Kevin Noronha'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 Kevin Noronha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Noronha more than expected).
Fields of papers citing papers by Kevin Noronha
This network shows the impact of papers produced by Kevin Noronha. 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 Kevin Noronha. The network helps show where Kevin Noronha may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Kevin Noronha, 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 | 2023 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 5 | |
| 6 | 2020 | 6 | |
| 7 | 2016 | 15 | |
| 8 | 2016 | 50 | |
| 9 | 2015 | 45 | |
| 10 | 2015 | 34 | |
| 11 | 2015 | 28 | |
| 12 | Glaucoma Screening using Digital Fundus Image through Optic Disc and Cup Segmentation | 2015 | 3 |
| 13 | 2015 | 25 | |
| 14 | 2014 | 2 | |
| 15 | 2014 | 48 | |
| 16 | 2014 | 131 | |
| 17 | 2013 | 5 | |
| 18 | 2013 | 5 | |
| 19 | Support System for the Automated Detection of Hypertensive Retinopathy using Fundus Images | 2012 | 21 |
| 20 | 2012 | 36 |
About Kevin Noronha
Kevin Noronha is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 644 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (19 papers), Glaucoma and retinal disorders (12 papers), Digital Imaging for Blood Diseases (10 papers), Retinal Diseases and Treatments (10 papers), AI in cancer detection (4 papers), Brain Tumor Detection and Classification (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Optical Wireless Communication Technologies (2 papers). The work is most often cited by research in Ophthalmology (436 citations), Radiology, Nuclear Medicine and Imaging (561 citations) and Computer Vision and Pattern Recognition (311 citations). Kevin Noronha has collaborated with scholars based in India, Singapore and Malaysia. Frequent co-authors include Sulatha V. Bhandary, U. Rajendra Acharya, K. Prabhakar Nayak, Roshan Joy Martis, E. Y. K. Ng, Lim Choo Min, Joel E.W. Koh, Muthu Rama Krishnan Mookiah, Jen Hong Tan and Augustinus Laude. Their work appears in journals such as Knowledge-Based Systems, Computers in Biology and Medicine and Biomedical Signal Processing and Control.
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.