Peter C. Austin
- Cardiology and Cardiovascular Medicine top 0.02%
- Heart Failure Treatment and Management 86
- Acute Myocardial Infarction Research 71
- Statistics and Probability top 0.01%
- Advanced Causal Inference Techniques 98
- Statistical Methods and Bayesian Inference 74
- Statistical Methods and Inference 69
- Geriatrics and Gerontology top 0.05%
- Emergency Medicine top 0.02%
- Emergency and Acute Care Studies 59
- Internal Medicine top 0.2%
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- Health Systems, Economic Evaluations, Quality of Life 160
- Healthcare Policy and Management 83
- Co-authors
- Jack V. TuDouglas S. LeeElizabeth A. StuartJason P. FineEwout W. SteyerbergMuhammad MamdaniCarl van WalravenAndreas Laupacis
- Journals
- Statistics in Medicine (58 papers)Canadian Journal of Cardiology (34 papers)Journal of the American Heart Association (29 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Peter C. Austin
872 papers receiving 73.4k citations
Hit Papers
Peers
Comparison fields: 5 of 228
- Cardiology and Cardiovascular Medicine 20.9k
- Statistics and Probability 6.4k
- Geriatrics and Gerontology 2.5k
- Emergency Medicine 5.2k
- Internal Medicine 1.6k
Countries citing papers authored by Peter C. Austin
This map shows the geographic impact of Peter C. Austin'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 Peter C. Austin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter C. Austin more than expected).
Fields of papers citing papers by Peter C. Austin
This network shows the impact of papers produced by Peter C. Austin. 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 Peter C. Austin. The network helps show where Peter C. Austin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter C. Austin, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 32 | |
| 7 | 2023 | 10 | |
| 8 | 2020 | 40 | |
| 9 | 2020 | 48 | |
| 10 | 2019 | 71 | |
| 11 | 2012 | 36 | |
| 12 | 2011 | 58 | |
| 13 | 2011 | 314 | |
| 14 | 2010 | 136 | |
| 15 | 2009 | 234 | |
| 16 | 2008 | 54 | |
| 17 | 2007 | 55 | |
| 18 | 2002 | 2 | |
| 19 | 1982 | 4 | |
| 20 | 1981 | 14 |
About Peter C. Austin
Peter C. Austin is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Economics and Econometrics, having authored 908 papers that have together received 75.0k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (160 papers), Advanced Causal Inference Techniques (98 papers), Heart Failure Treatment and Management (86 papers), Healthcare Policy and Management (83 papers), Statistical Methods and Bayesian Inference (74 papers), Acute Myocardial Infarction Research (71 papers), Statistical Methods and Inference (69 papers) and Emergency and Acute Care Studies (59 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (20.9k citations), Statistics and Probability (6.4k citations) and Geriatrics and Gerontology (2.5k citations). Peter C. Austin has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Jack V. Tu, Douglas S. Lee, Elizabeth A. Stuart, Jason P. Fine, Ewout W. Steyerberg, Muhammad Mamdani, Carl van Walraven, Andreas Laupacis, Alan J. Forster and Geoffrey M. Anderson. Their work appears in journals such as Statistics in Medicine, Canadian Journal of Cardiology, Journal of the American Heart Association, American Heart Journal and Canadian Medical Association 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.