Carson Lam
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
-
- Artificial Intelligence in Healthcare
Papers in ⓘ
- Epidemiology 10
- Sepsis Diagnosis and Treatment 5
- Acute Ischemic Stroke Management 3
-
- Retinal Imaging and Analysis 5
- COVID-19 diagnosis using AI 4
- Co-authors
- Darvin Yi (3 shared papers)Daniel L. Rubin (4 shared papers)Tony Lindsey (1 shared paper)Margaret Guo (1 shared paper)Caroline Yu (2 shared papers)Laura C. Huang (2 shared papers)Jaime Grutzendler (2 shared papers)Taehwan Yoo (2 shared papers)
- Journals
- Journal of Clinical Medicine (2 papers)Investigative Ophthalmology & Visual Science (2 papers)Frontiers in Pediatrics (1 paper)Neuromodulation Technology at the Neural Interface (1 paper)Neurosurgery (1 paper)
- Partner nations
- United StatesBelgium
In The Last Decade
Carson Lam
21 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 119
- Health Informatics 92
- Health Information Management 156
- Ophthalmology 290
- Radiology, Nuclear Medicine and Imaging 606
- Neurology 112
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 | 214 |
| 2 | 2018 | 199 | |
| 3 | 2018 | 146 | |
| 4 | 2010 | 132 | |
| 5 | 2020 | 96 | |
| 6 | 2014 | 55 | |
| 7 | 2020 | 48 | |
| 8 | 2016 | 42 | |
| 9 | 2022 | 36 | |
| 10 | 2010 | 29 | |
| 11 | 2016 | 16 | |
| 12 | 2022 | 13 | |
| 13 | 2021 | 13 | |
| 14 | 2023 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2016 | 1 |
About Carson Lam
Carson Lam is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging, Ophthalmology, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (5 papers), Machine Learning in Healthcare (5 papers), Sepsis Diagnosis and Treatment (5 papers), COVID-19 diagnosis using AI (4 papers), Glaucoma and retinal disorders (3 papers), Acute Ischemic Stroke Management (3 papers), Respiratory Support and Mechanisms (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Health Informatics (92 citations), Health Information Management (156 citations), Ophthalmology (290 citations), Radiology, Nuclear Medicine and Imaging (606 citations) and Neurology (112 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, Caroline Yu, Laura C. Huang, Jaime Grutzendler, Taehwan Yoo, Jayashree Kalpathy–Cramer and Niranjan Balachandar. Their work appears in journals such as Journal of Clinical Medicine, Investigative Ophthalmology & Visual Science, Frontiers in Pediatrics, Neuromodulation Technology at the Neural Interface and Neurosurgery.
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.