Noah Greifer
Impact in
- Statistics and Probability top 10%
- Advanced Causal Inference Techniques
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- Poisoning and overdose treatments
- Cardiac Arrest and Resuscitation
Papers in
-
- Advanced Causal Inference Techniques 7
- Statistical Methods and Bayesian Inference 5
- Statistical Methods and Inference 4
- Statistical Methods in Clinical Trials 2
- Surgery 2
- Cardiac and Coronary Surgery Techniques 2
- Co-authors
- Elizabeth A. Stuart (6 shared papers)Clémence Leyrat (2 shared papers)Farhad Pishgar (2 shared papers)Hossein Estiri (1 shared paper)Zachary H. Strasser (1 shared paper)Shawn N. Murphy (1 shared paper)Brianna M. Lombardi (1 shared paper)Kirsten Kainz (1 shared paper)
- Journals
- JAMA Network Open (1 paper)Anesthesia & Analgesia (1 paper)Epidemiologic Reviews (1 paper)Journal of the Society for Social Work and Research (1 paper)The R Journal (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Noah Greifer
13 papers receiving 250 citations
Peers
Comparison fields: 5 of 103
- Statistics and Probability 31
- Emergency Medicine 31
- Infectious Diseases 43
- Family Practice 4
- Critical Care and Intensive Care Medicine 8
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 | 63 | |
| 2 | 2021 | 50 | |
| 3 | 2022 | 39 | |
| 4 | 2017 | 34 | |
| 5 | 2022 | 28 | |
| 6 | 2023 | 13 | |
| 7 | Nonparametric Preprocessing for Parametric Causal Inference [R package MatchIt version 4.1.0] | 2020 | 6 |
| 8 | 2023 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2020 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 0 |
About Noah Greifer
Noah Greifer is a scholar working on Statistics and Probability, Surgery, Critical Care and Intensive Care Medicine, Artificial Intelligence and Management Science and Operations Research, having authored 14 papers that have together received 255 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (7 papers), Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (4 papers), Cardiac and Coronary Surgery Techniques (2 papers), Blood transfusion and management (2 papers), Statistical Methods in Clinical Trials (2 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers) and Poisoning and overdose treatments (1 paper). The work is most often cited by research in Statistics and Probability (31 citations), Emergency Medicine (31 citations), Infectious Diseases (43 citations), Family Practice (4 citations) and Critical Care and Intensive Care Medicine (8 citations). Noah Greifer has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Elizabeth A. Stuart, Clémence Leyrat, Farhad Pishgar, Hossein Estiri, Zachary H. Strasser, Shawn N. Murphy, Brianna M. Lombardi, Kirsten Kainz, Jamie L. Kohn and Guanhua Chen. Their work appears in journals such as JAMA Network Open, Anesthesia & Analgesia, Epidemiologic Reviews, Journal of the Society for Social Work and Research and The R Journal.
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.