Ethan Steinberg

1.4k total citations
21 papers, 681 citations indexed

About

Ethan Steinberg is a scholar working on Artificial Intelligence, Health Information Management and Epidemiology. According to data from OpenAlex, Ethan Steinberg has authored 21 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Health Information Management and 5 papers in Epidemiology. Recurrent topics in Ethan Steinberg's work include Machine Learning in Healthcare (8 papers), Electronic Health Records Systems (5 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Ethan Steinberg is often cited by papers focused on Machine Learning in Healthcare (8 papers), Electronic Health Records Systems (5 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Ethan Steinberg collaborates with scholars based in United States, Canada and Colombia. Ethan Steinberg's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Ethan Steinberg

21 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ethan Steinberg United States 11 252 136 130 119 100 21 681
Ziqian Xie United States 8 394 1.6× 113 0.8× 83 0.6× 20 0.2× 84 0.8× 13 658
Mahmoud Elbattah France 13 133 0.5× 27 0.2× 33 0.3× 52 0.4× 49 0.5× 32 483
Steven Bedrick United States 17 406 1.6× 250 1.8× 25 0.2× 43 0.4× 56 0.6× 64 978
Markus Wenzel Germany 11 111 0.4× 137 1.0× 107 0.8× 11 0.1× 80 0.8× 17 610
Gilles Dequen France 12 119 0.5× 24 0.2× 33 0.3× 51 0.4× 50 0.5× 29 424
J. Weston Hughes United States 12 70 0.3× 36 0.3× 51 0.4× 10 0.1× 70 0.7× 21 486
Adrienne Kline Canada 8 100 0.4× 36 0.3× 46 0.4× 9 0.1× 53 0.5× 20 415
Enrico Santus Italy 17 464 1.8× 119 0.9× 24 0.2× 192 1.6× 19 0.2× 74 884
Zain Hussain United Kingdom 12 209 0.8× 61 0.4× 26 0.2× 10 0.1× 112 1.1× 21 551
Liming Wang China 8 63 0.3× 72 0.5× 59 0.5× 11 0.1× 149 1.5× 16 460

Countries citing papers authored by Ethan Steinberg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ethan Steinberg

This figure shows the co-authorship network connecting the top 25 collaborators of Ethan Steinberg. A scholar is included among the top collaborators of Ethan Steinberg 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 Ethan Steinberg. Ethan Steinberg 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.
Morse, Keith, Catherine Aftandilian, Ethan Steinberg, et al.. (2024). Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare. BMC Medical Informatics and Decision Making. 24(1). 51–51. 9 indexed citations
2.
Guo, Lin, Jason Fries, Ethan Steinberg, et al.. (2024). A multi-center study on the adaptability of a shared foundation model for electronic health records. npj Digital Medicine. 7(1). 171–171. 15 indexed citations
3.
Goldstein, Rachel, et al.. (2023). The Prevalence of Confidential Content in Adolescent Progress Notes Prior to the 21st Century Cures Act Information Blocking Mandate. Applied Clinical Informatics. 14(2). 337–344. 4 indexed citations
4.
Wornow, Michael, Yizhe Xu, Rahul Thapa, et al.. (2023). The shaky foundations of large language models and foundation models for electronic health records. npj Digital Medicine. 6(1). 135–135. 143 indexed citations
5.
Guo, Lin, Ethan Steinberg, Scott L. Fleming, et al.. (2023). EHR foundation models improve robustness in the presence of temporal distribution shift. Scientific Reports. 13(1). 3767–3767. 28 indexed citations
6.
Steinberg, Ethan, et al.. (2023). A Natural Language Processing Model to Identify Confidential Content in Adolescent Clinical Notes. Applied Clinical Informatics. 14(3). 400–407. 5 indexed citations
7.
Steinberg, Ethan, Nikolaos Ignatiadis, Steve Yadlowsky, Yizhe Xu, & Nigam H. Shah. (2023). Using public clinical trial reports to probe non-experimental causal inference methods. BMC Medical Research Methodology. 23(1). 204–204. 1 indexed citations
8.
Xu, Yizhe, et al.. (2023). Clinical utility gains from incorporating comorbidity and geographic location information into risk estimation equations for atherosclerotic cardiovascular disease. Journal of the American Medical Informatics Association. 30(5). 878–887. 1 indexed citations
9.
Guo, Lin, Ethan Steinberg, Keith Morse, et al.. (2023). Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks. Journal of the American Medical Informatics Association. 30(12). 2004–2011. 7 indexed citations
10.
Steinberg, Ethan, et al.. (2022). Predicting patients who are likely to develop Lupus Nephritis of those newly diagnosed with Systemic Lupus Erythematosus.. PubMed. 2022. 221–230. 3 indexed citations
11.
Patel, Birju, Ethan Steinberg, Stephen Pfohl, & Nigam H. Shah. (2021). Learning decision thresholds for risk stratification models from aggregate clinician behavior. Journal of the American Medical Informatics Association. 28(10). 2258–2264. 4 indexed citations
12.
Fries, Jason, Ethan Steinberg, Scott L. Fleming, et al.. (2021). Ontology-driven weak supervision for clinical entity classification in electronic health records. Nature Communications. 12(1). 2017–2017. 45 indexed citations
13.
Callahan, Alison, Saurabh Gombar, Eli M. Cahan, et al.. (2021). Using Aggregate Patient Data at the Bedside via an On-Demand Consultation Service. NEJM Catalyst. 2(10). 7 indexed citations
14.
Bai, Lawrence, Madeleine Scott, Ethan Steinberg, et al.. (2021). Computational drug repositioning of atorvastatin for ulcerative colitis. Journal of the American Medical Informatics Association. 28(11). 2325–2335. 20 indexed citations
15.
Callahan, Alison, Ethan Steinberg, Jason Fries, et al.. (2020). Estimating the efficacy of symptom-based screening for COVID-19. npj Digital Medicine. 3(1). 95–95. 34 indexed citations
16.
Birgmeier, Johannes, Maximilian Haeussler, Cole A. Deisseroth, et al.. (2020). AMELIE speeds Mendelian diagnosis by matching patient phenotype and genotype to primary literature. Science Translational Medicine. 12(544). 56 indexed citations
17.
Valliappan, Nachiappan, Ethan Steinberg, Junfeng He, et al.. (2020). Accelerating eye movement research via accurate and affordable smartphone eye tracking. Nature Communications. 11(1). 4553–4553. 133 indexed citations
18.
Steinberg, Ethan, et al.. (2020). Language models are an effective representation learning technique for electronic health record data. Journal of Biomedical Informatics. 113. 103637–103637. 66 indexed citations
19.
Sung, Lillian, Conor K. Corbin, Ethan Steinberg, et al.. (2020). Development and utility assessment of a machine learning bloodstream infection classifier in pediatric patients receiving cancer treatments. BMC Cancer. 20(1). 1103–1103. 17 indexed citations
20.
Liu, Kevin J., et al.. (2014). Interspecific introgressive origin of genomic diversity in the house mouse. Proceedings of the National Academy of Sciences. 112(1). 196–201. 74 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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