Carson Lam

1.8k total citations
25 papers, 1.1k citations indexed

About

Carson Lam is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Carson Lam has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 10 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Ophthalmology. Recurrent topics in Carson Lam's work include Machine Learning in Healthcare (5 papers), Retinal Imaging and Analysis (5 papers) and Sepsis Diagnosis and Treatment (5 papers). Carson Lam is often cited by papers focused on Machine Learning in Healthcare (5 papers), Retinal Imaging and Analysis (5 papers) and Sepsis Diagnosis and Treatment (5 papers). Carson Lam collaborates with scholars based in United States and Belgium. Carson Lam's co-authors include Darvin Yi, Daniel L. Rubin, Tony Lindsey, Margaret Guo, Laura C. Huang, Caroline Yu, Taehwan Yoo, Jaime Grutzendler, Ken Chang and Bruce R. Rosen and has published in prestigious journals such as Nature, Science Translational Medicine and Neurosurgery.

In The Last Decade

Carson Lam

21 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carson Lam United States 13 606 290 275 179 172 25 1.1k
Avinash V. Varadarajan United States 8 1.1k 1.8× 732 2.5× 298 1.1× 181 1.0× 109 0.6× 10 1.6k
Katy Blumer United States 6 838 1.4× 494 1.7× 328 1.2× 139 0.8× 77 0.4× 8 1.5k
Darvin Yi United States 12 778 1.3× 212 0.7× 359 1.3× 246 1.4× 42 0.2× 26 1.2k
Edward Korot United Kingdom 14 760 1.3× 550 1.9× 219 0.8× 112 0.6× 75 0.4× 38 1.2k
Aditya U. Kale United Kingdom 6 515 0.8× 116 0.4× 369 1.3× 62 0.3× 66 0.4× 20 1.1k
Neil Joshi United States 13 886 1.5× 668 2.3× 197 0.7× 230 1.3× 93 0.5× 24 1.2k
Alice Bruynseels United Kingdom 6 513 0.8× 109 0.4× 368 1.3× 61 0.3× 60 0.3× 10 1.1k
Naama Hammel United States 16 874 1.4× 814 2.8× 162 0.6× 112 0.6× 45 0.3× 41 1.2k
Mohith Shamdas United Kingdom 6 478 0.8× 82 0.3× 368 1.3× 61 0.3× 60 0.3× 10 1.1k
Georgios C. Manikis Greece 15 489 0.8× 132 0.5× 136 0.5× 110 0.6× 27 0.2× 65 795

Countries citing papers authored by Carson Lam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Carson Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Carson Lam. A scholar is included among the top collaborators of Carson Lam 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 Carson Lam. Carson Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Alam, Minhaj Nur, et al.. (2023). Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy. Journal of Clinical Medicine. 12(1). 385–385. 12 indexed citations
2.
3.
Tso, Chak Foon, Carson Lam, Jacob Calvert, & Qingqing Mao. (2022). Machine learning early prediction of respiratory syncytial virus in pediatric hospitalized patients. Frontiers in Pediatrics. 10. 886212–886212. 12 indexed citations
4.
Rahmani, Keyvan, et al.. (2022). Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction. International Journal of Medical Informatics. 173. 104930–104930. 36 indexed citations
5.
Lam, Carson, Chak Foon Tso, Abigail Green‐Saxena, et al.. (2021). Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study. JMIR Formative Research. 5(9). e28028–e28028. 13 indexed citations
6.
Lam, Carson, Anna Siefkas, Nicole S. Zelin, et al.. (2021). Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or Corticosteroids. Clinical Therapeutics. 43(5). 871–885. 11 indexed citations
7.
Lam, Carson, Jacob Calvert, Anna Siefkas, et al.. (2021). Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approach. Health Policy and Technology. 10(3). 100554–100554. 7 indexed citations
8.
Lam, Carson, Nicole S. Zelin, Emily Pellegrini, et al.. (2021). Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification. Healthcare Technology Letters. 8(6). 139–147. 7 indexed citations
9.
Burdick, Hoyt, Carson Lam, Samson Mataraso, et al.. (2020). Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial. Computers in Biology and Medicine. 124. 103949–103949. 96 indexed citations
10.
Lam, Carson, Samson Mataraso, Angier Allen, et al.. (2020). Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study. Annals of Medicine and Surgery. 59. 207–216. 48 indexed citations
11.
Burdick, Hoyt, Carson Lam, Samson Mataraso, et al.. (2020). Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?—The IDENTIFY Trial. Journal of Clinical Medicine. 9(12). 3834–3834. 6 indexed citations
12.
Lam, Carson, Caroline Yu, Laura C. Huang, & Daniel L. Rubin. (2018). Retinal Lesion Detection With Deep Learning Using Image Patches. Investigative Ophthalmology & Visual Science. 59(1). 590–590. 146 indexed citations
13.
Huang, Laura C., Caroline Yu, Robert A. Kleinman, et al.. (2017). Opening the Black Box: Visualization of Deep Neural Network for Detection of Disease in Retinal Fundus Photographs. Investigative Ophthalmology & Visual Science. 58(8). 94–94.
14.
Lee, Wen-Shin, Carson Lam, & Edward E. Manche. (2016). Phototherapeutic keratectomy for epithelial basement membrane dystrophy. Clinical ophthalmology. Volume 11. 15–22. 16 indexed citations
15.
Pathipati, Akhilesh S, Edward H. Wood, Carson Lam, Christopher S. Sáles, & Darius M. Moshfeghi. (2016). Visual acuity measured with a smartphone app is more accurate than Snellen testing by emergency department providers. Graefe s Archive for Clinical and Experimental Ophthalmology. 254(6). 1175–1180. 42 indexed citations
16.
Pathipati, Akhilesh S, Edward H. Wood, Carson Lam, Christopher S. Sáles, & Darius M. Moshfeghi. (2016). Intraocular pressure measurement in the emergency department is inconsistently documented and significantly varies from ophthalmologist IOP. 57(12). 6430–6430.
17.
Ludwig, Cassie A., et al.. (2016). The Future of Automated Mobile Eye Diagnosis. 5(2). 44–50. 1 indexed citations
18.
Grutzendler, Jaime, Sasidhar Murikinati, Lingling Ji, et al.. (2014). Angiophagy Prevents Early Embolus Washout But Recanalizes Microvessels Through Embolus Extravasation. Science Translational Medicine. 6(226). 226ra31–226ra31. 55 indexed citations
19.
Lam, Carson, et al.. (2010). Embolus extravasation is an alternative mechanism for cerebral microvascular recanalization. Nature. 465(7297). 478–482. 132 indexed citations
20.
Lam, Carson & Joshua M. Rosenow. (2010). Patient Perspectives on the Efficacy and Ergonomics of Rechargeable Spinal Cord Stimulators. Neuromodulation Technology at the Neural Interface. 13(3). 218–223. 29 indexed citations

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.

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