Graeme L. Hickey
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- Cardiac Valve Diseases and Treatments 14
- Cardiac, Anesthesia and Surgical Outcomes 14
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference 8
- Statistical Methods in Clinical Trials 7
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- Aortic Disease and Treatment Approaches 10
- Aortic aneurysm repair treatments 9
- Epidemiology top 10%
- Infective Endocarditis Diagnosis and Management 8
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- Health Systems, Economic Evaluations, Quality of Life 7
- Co-authors
- Stuart W GrantBen BridgewaterIain BuchanRuwanthi Kolamunnage‐DonaPete PhilipsonAndrea JorgensenStuart J. HeadJoel Dunning
- Cited by
- Cardiology and Cardiovascular MedicineStatistics and ProbabilityPulmonary and Respiratory Medicine
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Graeme L. Hickey
61 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 171
- Cardiology and Cardiovascular Medicine 916
- Statistics and Probability 170
- Pulmonary and Respiratory Medicine 466
- Health Information Management 56
- Epidemiology 356
Countries citing papers authored by Graeme L. Hickey
This map shows the geographic impact of Graeme L. Hickey'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 Graeme L. Hickey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graeme L. Hickey more than expected).
Fields of papers citing papers by Graeme L. Hickey
This network shows the impact of papers produced by Graeme L. Hickey. 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 Graeme L. Hickey. The network helps show where Graeme L. Hickey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Graeme L. Hickey, 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 | 2021 | 6 | |
| 3 | 2021 | 14 | |
| 4 | 2020 | 59 | |
| 5 | 2019 | 20 | |
| 6 | 2018 | 31 | |
| 7 | 2018 | 48 | |
| 8 | 2017 | 38 | |
| 9 | 2017 | 77 | |
| 10 | 2017 | 13 | |
| 11 | 2016 | 50 | |
| 12 | 2015 | 37 | |
| 13 | 2015 | 7 | |
| 14 | 2015 | 3 | |
| 15 | 2014 | 75 | |
| 16 | 2014 | 15 | |
| 17 | 2013 | 26 | |
| 18 | 2013 | 35 | |
| 19 | 2013 | 80 | |
| 20 | 2011 | 15 |
About Graeme L. Hickey
Graeme L. Hickey is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Statistics, Probability and Uncertainty, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (14 papers), Cardiac, Anesthesia and Surgical Outcomes (14 papers), Aortic Disease and Treatment Approaches (10 papers), Aortic aneurysm repair treatments (9 papers), Statistical Methods and Bayesian Inference (8 papers), Infective Endocarditis Diagnosis and Management (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Statistical Methods in Clinical Trials (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (916 citations), Statistics and Probability (170 citations) and Pulmonary and Respiratory Medicine (466 citations). Graeme L. Hickey has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Stuart W Grant, Ben Bridgewater, Iain Buchan, Ruwanthi Kolamunnage‐Dona, Pete Philipson, Andrea Jorgensen, Stuart J. Head, Joel Dunning, Duilio Pagano and Peter Craig.
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.