Carson Lam
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 2%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
Papers in
-
- Retinal Imaging and Analysis 6
- COVID-19 diagnosis using AI 2
-
- Acute Ischemic Stroke Management 3
- Sepsis Diagnosis and Treatment 2
- Co-authors
- Darvin Yi (3 shared papers)Daniel L. Rubin (4 shared papers)Tony Lindsey (1 shared paper)Margaret Guo (1 shared paper)Laura C. Huang (2 shared papers)Caroline Yu (2 shared papers)Taehwan Yoo (2 shared papers)Jaime Grutzendler (2 shared papers)
- Journals
- Investigative Ophthalmology & Visual Science (2 papers)Journal of Clinical Medicine (2 papers)Neurosurgery (1 paper)Frontiers in Pediatrics (1 paper)Neuromodulation Technology at the Neural Interface (1 paper)
- Partner nations
- United StatesBelgium
In The Last Decade
Carson Lam
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 120
- Health Informatics 81
- Ophthalmology 268
- Health Information Management 150
- Radiology, Nuclear Medicine and Imaging 591
- Neurology 104
Countries citing papers authored by Carson Lam
This map shows the geographic impact of Carson Lam'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 Carson Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carson Lam more than expected).
Fields of papers citing papers by Carson Lam
This network shows the impact of papers produced by Carson Lam. 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 Carson Lam. The network helps show where Carson Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Carson Lam, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Automated Detection of Diabetic Retinopathy using Deep Learning. | 2018 | 233 |
| 2 | 2018 | 231 | |
| 3 | 2018 | 165 | |
| 4 | 2010 | 134 | |
| 5 | 2020 | 103 | |
| 6 | 2014 | 57 | |
| 7 | 2020 | 50 | |
| 8 | 2016 | 43 | |
| 9 | 2022 | 43 | |
| 10 | 2010 | 30 | |
| 11 | 2016 | 16 | |
| 12 | 2021 | 14 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2016 | 2 |
About Carson Lam
Carson Lam is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology, Ophthalmology, Infectious Diseases and Surgery, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (6 papers), Acute Ischemic Stroke Management (3 papers), Pain Management and Treatment (2 papers), Glaucoma and retinal disorders (2 papers), COVID-19 diagnosis using AI (2 papers), Sepsis Diagnosis and Treatment (2 papers), Retinal Diseases and Treatments (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Health Informatics (81 citations), Ophthalmology (268 citations), Health Information Management (150 citations), Radiology, Nuclear Medicine and Imaging (591 citations) and Neurology (104 citations). Carson Lam has collaborated with scholars based in United States and Belgium. Frequent co-authors include Darvin Yi, Daniel L. Rubin, Tony Lindsey, Margaret Guo, Laura C. Huang, Caroline Yu, Taehwan Yoo, Jaime Grutzendler, Bruce R. Rosen and James M. Brown. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Journal of Clinical Medicine, Neurosurgery, Frontiers in Pediatrics and Neuromodulation Technology at the Neural Interface.
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.