Ziad Obermeyer
Impact in
- Health Informatics top 0.01%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.1%
- Artificial Intelligence in Healthcare
Papers in
-
- Health Systems, Economic Evaluations, Quality of Life 10
- Healthcare Policy and Management 6
-
- Machine Learning in Healthcare 12
- Co-authors
- Sendhil Mullainathan (17 shared papers)Ezekiel Emanuel (1 shared paper)Brian W. Powers (5 shared papers)Christine Vogeli (2 shared papers)Emmanuela Gakidou (3 shared papers)Stella Nordhagen (1 shared paper)David Cutler (6 shared papers)Jon Kleinberg (4 shared papers)
- Journals
- Science (4 papers)Academic Emergency Medicine (4 papers)Health Affairs (3 papers)New England Journal of Medicine (3 papers)Nature Medicine (3 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Ziad Obermeyer
70 papers receiving 9.5k citations
Ziad Obermeyer's Hit Papers
Peers
Comparison fields: 5 of 207
- Health Informatics 2.2k
- Health Information Management 540
- Safety Research 749
- Family Practice 121
- Artificial Intelligence 1.7k
Countries citing papers authored by Ziad Obermeyer
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
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-authors
The 25 scholars most cited alongside Ziad Obermeyer, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dissecting racial bias in an algorithm used to manage the health of populations Hit paper breakdown → | 2019 | 3133 |
| 2 | Predicting the Future — Big Data, Machine Learning, and Clinical Medicine Hit paper breakdown → | 2016 | 2105 |
| 3 | 2008 | 497 | |
| 4 | 2020 | 350 | |
| 5 | Prediction Policy Problems Hit paper breakdown → | 2015 | 345 |
| 6 | 2014 | 275 | |
| 7 | 2015 | 226 | |
| 8 | 2014 | 220 | |
| 9 | 2015 | 206 | |
| 10 | An algorithmic approach to reducing unexplained pain disparities in underserved populations Hit paper breakdown → | 2021 | 165 |
| 11 | 2023 | 165 | |
| 12 | 2017 | 157 | |
| 13 | 2019 | 120 | |
| 14 | 2017 | 109 | |
| 15 | 2018 | 108 | |
| 16 | 2008 | 97 | |
| 17 | 2018 | 94 | |
| 18 | 2017 | 92 | |
| 19 | 2015 | 91 | |
| 20 | 2016 | 80 |
About Ziad Obermeyer
Ziad Obermeyer is a scholar working on Economics and Econometrics, Artificial Intelligence, Health Informatics, Emergency Medicine and General Health Professions, having authored 73 papers that have together received 9.8k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (12 papers), Artificial Intelligence in Healthcare and Education (11 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers), Healthcare cost, quality, practices (8 papers), Emergency and Acute Care Studies (7 papers), Healthcare Policy and Management (6 papers), Artificial Intelligence in Healthcare (6 papers) and Global Cancer Incidence and Screening (4 papers). The work is most often cited by research in Health Informatics (2.2k citations), Health Information Management (540 citations), Safety Research (749 citations), Family Practice (121 citations) and Artificial Intelligence (1.7k citations). Ziad Obermeyer has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Sendhil Mullainathan, Ezekiel Emanuel, Brian W. Powers, Christine Vogeli, Emmanuela Gakidou, Stella Nordhagen, David Cutler, Jon Kleinberg, Jens Ludwig and Samer Abujaber. Their work appears in journals such as Science, Academic Emergency Medicine, Health Affairs, New England Journal of Medicine and Nature 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.