Barbara D. Lam
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Venous Thromboembolism Diagnosis and Management 10
-
- Acute Ischemic Stroke Management 4
- Sepsis Diagnosis and Treatment 2
- Co-authors
- Leo Anthony Celi (5 shared papers)Matthew G. Crowson (1 shared paper)Dana Moukheiber (1 shared paper)David W. Bates (1 shared paper)Sreekar Mantena (1 shared paper)Sigall K. Bell (3 shared papers)Fabienne Bourgeois (2 shared papers)Zhiyong Dong (2 shared papers)
- Journals
- Research and Practice in Thrombosis and Haemostasis (4 papers)Journal of the American Medical Informatics Association (2 papers)Blood (2 papers)JAMA Dermatology (1 paper)Cancer Medicine (1 paper)
- Partner nations
- United StatesIsraelThailand
In The Last Decade
Barbara D. Lam
22 papers receiving 201 citations
Peers
Comparison fields: 5 of 62
- Health Informatics 30
- Internal Medicine 36
- Health Information Management 21
- Family Practice 4
- Artificial Intelligence 51
Countries citing papers authored by Barbara D. Lam
This map shows the geographic impact of Barbara D. 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 Barbara D. Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara D. Lam more than expected).
Fields of papers citing papers by Barbara D. Lam
This network shows the impact of papers produced by Barbara D. 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 Barbara D. Lam. The network helps show where Barbara D. Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara D. 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 75 | |
| 2 | 2023 | 25 | |
| 3 | 2020 | 22 | |
| 4 | 2024 | 17 | |
| 5 | 2020 | 13 | |
| 6 | 2021 | 9 | |
| 7 | 2023 | 9 | |
| 8 | 2021 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2020 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2025 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Barbara D. Lam
Barbara D. Lam is a scholar working on Internal Medicine, Epidemiology, Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 204 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (10 papers), Acute Ischemic Stroke Management (4 papers), Digital Imaging for Blood Diseases (3 papers), Healthcare Systems and Technology (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), AI in cancer detection (3 papers), Sepsis Diagnosis and Treatment (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Informatics (30 citations), Internal Medicine (36 citations), Health Information Management (21 citations), Family Practice (4 citations) and Artificial Intelligence (51 citations). Barbara D. Lam has collaborated with scholars based in United States, Israel and Thailand. Frequent co-authors include Leo Anthony Celi, Matthew G. Crowson, Dana Moukheiber, David W. Bates, Sreekar Mantena, Sigall K. Bell, Fabienne Bourgeois, Zhiyong Dong, Rushad Patell and Alys Adamski. Their work appears in journals such as Research and Practice in Thrombosis and Haemostasis, Journal of the American Medical Informatics Association, Blood, JAMA Dermatology and Cancer 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.