Noah Greifer
Impact in
- Statistics and Probability top 10%
- Advanced Causal Inference Techniques
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
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- Advanced Causal Inference Techniques 7
- Statistical Methods and Bayesian Inference 4
- Statistical Methods and Inference 4
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- Bayesian Modeling and Causal Inference 1
- Co-authors
- Elizabeth A. Stuart (6 shared papers)Farhad Pishgar (2 shared papers)Clémence Leyrat (2 shared papers)Shawn N. Murphy (1 shared paper)Zachary H. Strasser (1 shared paper)Hossein Estiri (1 shared paper)Brianna M. Lombardi (1 shared paper)Jamie L. Kohn (1 shared paper)
- Journals
- Epidemiologic Reviews (1 paper)Journal of Educational Psychology (1 paper)Social Science Research (1 paper)Anesthesia & Analgesia (1 paper)Annals of Emergency Medicine (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Noah Greifer
14 papers receiving 275 citations
Peers
Comparison fields: 5 of 91
- Statistics and Probability 33
- Infectious Diseases 33
- Obstetrics and Gynecology 11
- Public Health, Environmental and Occupational Health 39
- Health 9
Countries citing papers authored by Noah Greifer
This map shows the geographic impact of Noah Greifer'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 Noah Greifer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Greifer more than expected).
Fields of papers citing papers by Noah Greifer
This network shows the impact of papers produced by Noah Greifer. 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 Noah Greifer. The network helps show where Noah Greifer may publish in the future.
Co-authors
The 25 scholars most cited alongside Noah Greifer, 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 | 2021 | 65 | |
| 2 | 2021 | 56 | |
| 3 | 2022 | 43 | |
| 4 | 2017 | 39 | |
| 5 | 2022 | 31 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 6 | |
| 10 | Nonparametric Preprocessing for Parametric Causal Inference [R package MatchIt version 4.1.0] | 2020 | 6 |
| 11 | 2020 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 |
About Noah Greifer
Noah Greifer is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Biochemistry and Infectious Diseases, having authored 16 papers that have together received 280 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (7 papers), Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (4 papers), Blood transfusion and management (2 papers), demographic modeling and climate adaptation (1 paper), Opioid Use Disorder Treatment (1 paper), Morphological variations and asymmetry (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Statistics and Probability (33 citations), Infectious Diseases (33 citations), Obstetrics and Gynecology (11 citations), Public Health, Environmental and Occupational Health (39 citations) and Health (9 citations). Noah Greifer has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Elizabeth A. Stuart, Farhad Pishgar, Clémence Leyrat, Shawn N. Murphy, Zachary H. Strasser, Hossein Estiri, Brianna M. Lombardi, Jamie L. Kohn, Kirsten Kainz and Guanhua Chen. Their work appears in journals such as Epidemiologic Reviews, Journal of Educational Psychology, Social Science Research, Anesthesia & Analgesia and Annals of Emergency 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.