Ethan Steinberg
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
Papers in
-
- Machine Learning in Healthcare 8
- Topic Modeling 2
-
- Electronic Health Records Systems 4
- Co-authors
- Nigam H. Shah (16 shared papers)Jason Fries (9 shared papers)Scott L. Fleming (6 shared papers)Birju Patel (3 shared papers)Conor K. Corbin (3 shared papers)Michael A. Pfeffer (1 shared paper)Rahul Thapa (1 shared paper)Stephen Pfohl (4 shared papers)
- Journals
- Journal of the American Medical Informatics Association (4 papers)npj Digital Medicine (3 papers)Nature Communications (2 papers)Applied Clinical Informatics (2 papers)BMC Medical Research Methodology (1 paper)
- Partner nations
- United StatesCanadaColombia
In The Last Decade
Ethan Steinberg
22 papers receiving 723 citations
Peers
Comparison fields: 5 of 111
- Health Informatics 113
- Human-Computer Interaction 80
- Health Information Management 62
- Artificial Intelligence 219
- Genetics 109
Countries citing papers authored by Ethan Steinberg
This map shows the geographic impact of Ethan Steinberg'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 Ethan Steinberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ethan Steinberg more than expected).
Fields of papers citing papers by Ethan Steinberg
This network shows the impact of papers produced by Ethan Steinberg. 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 Ethan Steinberg. The network helps show where Ethan Steinberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Ethan Steinberg, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 156 | |
| 2 | 2020 | 145 | |
| 3 | 2014 | 74 | |
| 4 | 2020 | 70 | |
| 5 | 2020 | 58 | |
| 6 | 2021 | 46 | |
| 7 | 2020 | 34 | |
| 8 | 2023 | 31 | |
| 9 | 2021 | 23 | |
| 10 | 2024 | 20 | |
| 11 | 2020 | 17 | |
| 12 | 2022 | 12 | |
| 13 | 2023 | 10 | |
| 14 | 2024 | 10 | |
| 15 | 2021 | 8 | |
| 16 | 2021 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 4 | |
| 19 | Predicting patients who are likely to develop Lupus Nephritis of those newly diagnosed with Systemic Lupus Erythematosus. | 2022 | 3 |
| 20 | 2023 | 2 |
About Ethan Steinberg
Ethan Steinberg is a scholar working on Artificial Intelligence, Health Information Management, Genetics, Molecular Biology and Health Informatics, having authored 24 papers that have together received 736 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (8 papers), Electronic Health Records Systems (4 papers), Topic Modeling (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Biomedical Text Mining and Ontologies (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Cancer Genomics and Diagnostics (1 paper) and Advanced Causal Inference Techniques (1 paper). The work is most often cited by research in Health Informatics (113 citations), Human-Computer Interaction (80 citations), Health Information Management (62 citations), Artificial Intelligence (219 citations) and Genetics (109 citations). Ethan Steinberg has collaborated with scholars based in United States, Canada and Colombia. Frequent co-authors include Nigam H. Shah, Jason Fries, Scott L. Fleming, Birju Patel, Conor K. Corbin, Michael A. Pfeffer, Rahul Thapa, Stephen Pfohl, Yizhe Xu and Michael Wornow. Their work appears in journals such as Journal of the American Medical Informatics Association, npj Digital Medicine, Nature Communications, Applied Clinical Informatics and BMC Medical Research Methodology.
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.