Ethan Steinberg
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education 2
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- Electronic Health Records Systems 5
- Human-Computer Interaction top 5%
- Artificial Intelligence top 5%
- Machine Learning in Healthcare 8
- Topic Modeling 2
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- Health Systems, Economic Evaluations, Quality of Life 3
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- Sepsis Diagnosis and Treatment 3
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- Biomedical Text Mining and Ontologies 2
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- Advanced Causal Inference Techniques 2
- Co-authors
- Nigam H. ShahJason FriesScott L. FlemingBirju PatelConor K. CorbinMichael A. PfefferYizhe XuStephen Pfohl
- Journals
- Journal of the American Medical Informatics Association (4 papers)npj Digital Medicine (3 papers)Applied Clinical Informatics (2 papers)
- Partner nations
- United StatesCanadaColombia
In The Last Decade
Ethan Steinberg
21 papers receiving 667 citations
Peers
Comparison fields: 5 of 116
- Health Informatics 130
- Health Information Management 90
- Human-Computer Interaction 76
- Artificial Intelligence 252
- Family Practice 10
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 9 | |
| 2 | 2024 | 15 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 143 | |
| 5 | 2023 | 28 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 7 | |
| 10 | Predicting patients who are likely to develop Lupus Nephritis of those newly diagnosed with Systemic Lupus Erythematosus. | 2022 | 3 |
| 11 | 2021 | 4 | |
| 12 | 2021 | 45 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 20 | |
| 15 | 2020 | 34 | |
| 16 | 2020 | 56 | |
| 17 | 2020 | 133 | |
| 18 | 2020 | 66 | |
| 19 | 2020 | 17 | |
| 20 | 2014 | 74 |
About Ethan Steinberg
Ethan Steinberg is a scholar working on Health Informatics, Health Information Management, Aging, Statistics and Probability and Artificial Intelligence, having authored 21 papers that have together received 681 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (8 papers), Electronic Health Records Systems (5 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Sepsis Diagnosis and Treatment (3 papers), Biomedical Text Mining and Ontologies (2 papers), Topic Modeling (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Advanced Causal Inference Techniques (2 papers). The work is most often cited by research in Health Informatics (130 citations), Health Information Management (90 citations), Human-Computer Interaction (76 citations), Artificial Intelligence (252 citations) and Family Practice (10 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, Yizhe Xu, Stephen Pfohl, Rahul Thapa and Michael Wornow. Their work appears in journals such as Journal of the American Medical Informatics Association, npj Digital Medicine, Applied Clinical Informatics, Nature Communications and Science Translational 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.