Ziad Obermeyer

16.6k total citations · 4 hit papers
71 papers, 9.3k citations indexed

About

Ziad Obermeyer is a scholar working on Economics and Econometrics, General Health Professions and Emergency Medicine. According to data from OpenAlex, Ziad Obermeyer has authored 71 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Economics and Econometrics, 17 papers in General Health Professions and 16 papers in Emergency Medicine. Recurrent topics in Ziad Obermeyer's work include Emergency and Acute Care Studies (14 papers), Healthcare Policy and Management (13 papers) and Machine Learning in Healthcare (12 papers). Ziad Obermeyer is often cited by papers focused on Emergency and Acute Care Studies (14 papers), Healthcare Policy and Management (13 papers) and Machine Learning in Healthcare (12 papers). Ziad Obermeyer collaborates with scholars based in United States, Switzerland and United Kingdom. Ziad Obermeyer's co-authors include Ezekiel Emanuel, Sendhil Mullainathan, Brian W. Powers, Christine Vogeli, Emmanuela Gakidou, Stella Nordhagen, David Cutler, Jon Kleinberg, Jens Ludwig and Maggie Makar and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Ziad Obermeyer

68 papers receiving 9.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dissecting racial bias in an algorithm used to manage the health of populations

2019 2.9k citations Ziad Obermeyer, Sendhil Mullainathan et al. profile →
Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

2016 2.0k citations Ziad Obermeyer et al. profile →
Prediction Policy Problems

2015 342 citations Jon Kleinberg, Sendhil Mullainathan et al. profile →
An algorithmic approach to reducing unexplained pain disparities in underserved populations

2021 158 citations Emma Pierson, David Cutler et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ziad Obermeyer United States	34	2.4k	2.0k	1.4k	1.3k	1.2k	71	9.3k
Nigam H. Shah United States	62	2.0k 0.9×	5.2k 2.6×	1.2k 0.9×	1.2k 1.0×	667 0.6×	287	15.5k
Christine Vogeli United States	21	1.2k 0.5×	880 0.4×	958 0.7×	431 0.3×	1.4k 1.2×	59	5.6k
Leo Anthony Celi United States	53	2.7k 1.1×	6.3k 3.2×	1.3k 0.9×	2.0k 1.5×	862 0.7×	413	17.8k
I. Glenn Cohen United States	37	1.6k 0.7×	978 0.5×	1.4k 1.0×	630 0.5×	1.0k 0.9×	244	5.9k
Effy Vayena Switzerland	37	2.2k 0.9×	2.3k 1.2×	1.5k 1.1×	567 0.4×	827 0.7×	127	8.9k
Andrew L. Beam United States	26	2.0k 0.9×	2.1k 1.1×	861 0.6×	1.4k 1.1×	280 0.2×	78	6.9k
Brian W. Powers United States	19	1.2k 0.5×	902 0.5×	731 0.5×	442 0.3×	908 0.8×	56	4.1k
Enrico Coiera Australia	57	974 0.4×	1.8k 0.9×	1.6k 1.2×	645 0.5×	3.1k 2.5×	312	12.3k
Jiang Bian United States	40	757 0.3×	2.4k 1.2×	751 0.5×	489 0.4×	751 0.6×	422	7.2k
Marzyeh Ghassemi United States	33	1.8k 0.8×	2.1k 1.1×	438 0.3×	951 0.7×	308 0.3×	111	4.8k

Countries citing papers authored by Ziad Obermeyer

Since Specialization

Citations

This map shows the geographic impact of Ziad Obermeyer'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 Ziad Obermeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziad Obermeyer more than expected).

Fields of papers citing papers by Ziad Obermeyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ziad Obermeyer. 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 Ziad Obermeyer. The network helps show where Ziad Obermeyer may publish in the future.

Co-authorship network of co-authors of Ziad Obermeyer

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pierson, Emma, Jon Kleinberg, Mark Dredze, et al.. (2025). Using Large Language Models to Promote Health Equity. NEJM AI. 2(2). 6 indexed citations

Hsu, Chao-Chun, Ziad Obermeyer, & Chenhao Tan. (2025). A machine learning model using clinical notes to identify physician fatigue. Nature Communications. 16(1). 5791–5791.

Morden, Nancy E., Weiping Zhou, Ziad Obermeyer, & Jonathan R. Skinner. (2023). Receipt of Medications for Chronic Disease During the First 2 Years of the COVID-19 Pandemic Among Enrollees in Fee-for-Service Medicare. JAMA Network Open. 6(5). e2313919–e2313919. 4 indexed citations

Abràmoff, Michael D., Michelle E. Tarver, Nilsa Loyo‐Berríos, et al.. (2023). Considerations for addressing bias in artificial intelligence for health equity. npj Digital Medicine. 6(1). 170–170. 148 indexed citations

Pierson, Emma, David Cutler, Jure Leskovec, Sendhil Mullainathan, & Ziad Obermeyer. (2021). An algorithmic approach to reducing unexplained pain disparities in underserved populations. Nature Medicine. 27(1). 136–140. 158 indexed citations breakdown →

Augenblick, Ned, Jonathan Kolstad, Ziad Obermeyer, & Ao Wang. (2020). Group Testing in a Pandemic: The Role of Frequent Testing, Correlated Risk, and Machine Learning. RePEc: Research Papers in Economics. 3 indexed citations

Tamim, Hani, et al.. (2019). Characteristics and determinants of high-risk unscheduled return visits to the emergency department. Emergency Medicine Journal. 37(2). 79–84. 12 indexed citations

Miller, Andrew C., Ziad Obermeyer, John P. Cunningham, & Sendhil Mullainathan. (2019). Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography. International Conference on Machine Learning. 4585–4594. 3 indexed citations

Raghu, Maithra, Katy Blumer, Rory Sayres, et al.. (2018). Direct Uncertainty Prediction with Applications to Healthcare.. arXiv (Cornell University). 3 indexed citations

10.

Asaria, Perviz, Paul Elliott, Margaret Douglass, et al.. (2017). Acute myocardial infarction hospital admissions and deaths in England: a national follow-back and follow-forward record-linkage study. The Lancet Public Health. 2(4). e191–e201. 59 indexed citations

11.

Obermeyer, Ziad, et al.. (2017). Early death after discharge from emergency departments: analysis of national US insurance claims data. BMJ. 356. j239–j239. 75 indexed citations

12.

Venkatesh, Arjun K., Hao Mei, Keith E. Kocher, et al.. (2016). Identification of Emergency Department Visits in Medicare Administrative Claims: Approaches and Implications. Academic Emergency Medicine. 24(4). 422–431. 62 indexed citations

13.

Abujaber, Samer, Cindy Y. Chang, Teri Reynolds, Hani Mowafi, & Ziad Obermeyer. (2016). Developing metrics for emergency care research in low- and middle-income countries. African Journal of Emergency Medicine. 6(3). 116–124. 8 indexed citations

14.

Chang, Bernard, et al.. (2016). Early death after emergency department discharge in patients with psychiatric illness. The American Journal of Emergency Medicine. 35(5). 784–786. 6 indexed citations

15.

Obermeyer, Ziad, Samer Abujaber, Maggie Makar, et al.. (2015). Emergency care in 59 low- and middle-income countries: a systematic review. Bulletin of the World Health Organization. 93(8). 577–586G. 196 indexed citations

16.

Martindale, Jennifer L., et al.. (2010). Altered Mental Status and Hypothermia. Journal of Emergency Medicine. 39(4). 491–496. 2 indexed citations

17.

Obermeyer, Ziad, Julie Knoll Rajaratnam, Chang Park, et al.. (2010). Measuring Adult Mortality Using Sibling Survival: A New Analytical Method and New Results for 44 Countries, 1974–2006. PLoS Medicine. 7(4). e1000260–e1000260. 72 indexed citations

18.

Ottmani, Salah-Eddine, et al.. (2008). Knowledge, attitudes and beliefs about tuberculosis in urban Morocco.. PubMed. 14(2). 298–304. 17 indexed citations

19.

Obermeyer, Ziad, Jesse Abbott-Klafter, & Christopher J L Murray. (2008). Has the DOTS Strategy Improved Case Finding or Treatment Success? An Empirical Assessment. PLoS ONE. 3(3). e1721–e1721. 71 indexed citations

20.

Gakidou, Emmanuela, Stella Nordhagen, & Ziad Obermeyer. (2008). Coverage of Cervical Cancer Screening in 57 Countries: Low Average Levels and Large Inequalities. PLoS Medicine. 5(6). e132–e132. 489 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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