Gilbert Lim
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 0.5%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Glaucoma and retinal disorders
Papers in
-
- Retinal Imaging and Analysis 27
- COVID-19 diagnosis using AI 3
-
- Retinal Diseases and Treatments 11
- Retinal and Optic Conditions 8
- Glaucoma and retinal disorders 5
- Co-authors
- Daniel Shu Wei Ting (17 shared papers)Mong Li Lee (18 shared papers)Wynne Hsu (18 shared papers)Gavin Siew Wei Tan (11 shared papers)Tien Yin Wong (15 shared papers)Valentina Bellemo (10 shared papers)Michael D. Abràmoff (3 shared papers)Andrzej Grzybowski (3 shared papers)
- Journals
- Investigative Ophthalmology & Visual Science (4 papers)Current Opinion in Ophthalmology (3 papers)The Lancet Digital Health (2 papers)IEEE Access (2 papers)npj Digital Medicine (2 papers)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Gilbert Lim
31 papers receiving 1.3k citations
Gilbert Lim's Hit Papers
Peers
Comparison fields: 5 of 91
- Health Informatics 150
- Ophthalmology 854
- Radiology, Nuclear Medicine and Imaging 1.1k
- Health Information Management 202
- Computer Vision and Pattern Recognition 239
Countries citing papers authored by Gilbert Lim
This map shows the geographic impact of Gilbert Lim'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 Gilbert Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilbert Lim more than expected).
Fields of papers citing papers by Gilbert Lim
This network shows the impact of papers produced by Gilbert Lim. 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 Gilbert Lim. The network helps show where Gilbert Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Gilbert Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial intelligence for diabetic retinopathy screening: a review Hit paper breakdown → | 2019 | 234 |
| 2 | Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study Hit paper breakdown → | 2019 | 227 |
| 3 | 2020 | 174 | |
| 4 | 2013 | 123 | |
| 5 | 2019 | 118 | |
| 6 | 2015 | 80 | |
| 7 | 2020 | 62 | |
| 8 | 2019 | 61 | |
| 9 | Automated Tool Support for Glaucoma Identification With Explainability Using Fundus Images Hit paper breakdown → | 2024 | 50 |
| 10 | 2020 | 35 | |
| 11 | 2020 | 31 | |
| 12 | Transformed Representations for Convolutional Neural Networks in Diabetic Retinopathy Screening | 2014 | 28 |
| 13 | 2019 | 20 | |
| 14 | 2021 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2023 | 15 | |
| 17 | 2018 | 10 | |
| 18 | 2023 | 9 | |
| 19 | Cost-Effectiveness Analysis of an Artificial Intelligence-Assisted Deep Learning System Implemented in the National Tele-Medicine Diabetic Retinopathy Screening in Singapore | 2019 | 8 |
| 20 | 2019 | 8 |
About Gilbert Lim
Gilbert Lim is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Health Information Management, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (27 papers), Retinal Diseases and Treatments (11 papers), Retinal and Optic Conditions (8 papers), Artificial Intelligence in Healthcare (7 papers), Digital Imaging for Blood Diseases (5 papers), Glaucoma and retinal disorders (5 papers), Artificial Intelligence in Healthcare and Education (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Informatics (150 citations), Ophthalmology (854 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Health Information Management (202 citations) and Computer Vision and Pattern Recognition (239 citations). Gilbert Lim has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Daniel Shu Wei Ting, Mong Li Lee, Wynne Hsu, Gavin Siew Wei Tan, Tien Yin Wong, Valentina Bellemo, Michael D. Abràmoff, Andrzej Grzybowski, Yuchen Xie and Paisan Ruamviboonsuk. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Current Opinion in Ophthalmology, The Lancet Digital Health, IEEE Access and npj Digital Medicine.
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.