Peter C. Austin

107.2k citations
908 papers · 75.0k indexed · 31 hit papers · h-index 116

Peter C. Austin

872 papers receiving 73.4k citations

Hit Papers

Estimated ...19419992026200820172.5k5.0k7.5k

Peers

Peter C. Austin
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
Replace John P. A. Ioannidis with:
John P. A. Ioannidis United States
Julian P. T. Higgins United Kingdom
Stuart Pocock United Kingdom
Ewout W. Steyerberg Netherlands
Karel G.M. Moons Netherlands
Kenneth F. Schulz United States
Matthias Egger Switzerland
Ralph B. D’Agostino United States
George Davey Smith United Kingdom
P.J. Devereaux Canada
Peter C. Austin relative to John P. A. Ioannidis United States John P. A. Ioannidis's profile →
Citations per field
00.5×1.5×
John P. A. Ioannidis · 1×
Citations per year

Countries citing papers authored by Peter C. Austin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Peter C. Austin Line = papers co-authored together Peter C. Austin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20234
4 20232
5 20231
6 202332
7 202310
8 202040
9 202048
10 201971
11 201236
12 201158
13 2011314
14 2010136
15 2009234
16 200854
17 200755
18 20022
19 19824
20 198114

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.

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