Peter Watkinson

11.9k total citations · 8 hit papers
184 papers, 6.6k citations indexed

About

Peter Watkinson is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Peter Watkinson has authored 184 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Surgery, 56 papers in Cardiology and Cardiovascular Medicine and 44 papers in Epidemiology. Recurrent topics in Peter Watkinson's work include Sepsis Diagnosis and Treatment (43 papers), Hemodynamic Monitoring and Therapy (37 papers) and Non-Invasive Vital Sign Monitoring (35 papers). Peter Watkinson is often cited by papers focused on Sepsis Diagnosis and Treatment (43 papers), Hemodynamic Monitoring and Therapy (37 papers) and Non-Invasive Vital Sign Monitoring (35 papers). Peter Watkinson collaborates with scholars based in United Kingdom, United States and Australia. Peter Watkinson's co-authors include Lionel Tarassenko, David A. Clifton, Duncan Young, Peter Charlton, Marco A. F. Pimentel, Timothy Bonnici, David A Harrison, Julia Hippisley–Cox, Carol Coupland and Stephen Gerry and has published in prestigious journals such as The Lancet, Circulation and Nature Medicine.

In The Last Decade

Peter Watkinson

177 papers receiving 6.4k citations

Hit Papers

Engineering in Medicine a... 2014 2026 2018 2022 2014 2021 2018 2021 2021 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter Watkinson 1.8k 1.7k 1.6k 1.1k 1.0k 184 6.6k
Tiejun Tong 1.5k 0.8× 347 0.2× 3.5k 2.2× 629 0.6× 1.7k 1.6× 106 11.9k
Martin Hellmich 969 0.5× 420 0.2× 1.6k 1.0× 545 0.5× 1.0k 1.0× 408 9.7k
Andrew Reisner 1.5k 0.8× 1.6k 0.9× 1.8k 1.2× 101 0.1× 764 0.7× 176 5.1k
Armand R. J. Girbes 1.4k 0.8× 392 0.2× 1.7k 1.1× 423 0.4× 1.9k 1.8× 233 8.6k
Samuel M. Brown 751 0.4× 333 0.2× 941 0.6× 574 0.5× 1.8k 1.8× 227 4.9k
Diederik Gommers 661 0.4× 903 0.5× 1.7k 1.1× 3.9k 3.5× 1.1k 1.0× 236 9.8k
Maarten van Smeden 931 0.5× 292 0.2× 939 0.6× 472 0.4× 1.2k 1.2× 139 6.9k
Lucas M. Bachmann 1.1k 0.6× 431 0.2× 1.8k 1.1× 169 0.1× 1.4k 1.4× 229 11.3k
Anthony Gordon 981 0.5× 401 0.2× 1.7k 1.1× 301 0.3× 3.7k 3.6× 116 6.9k
William J. Brady 2.8k 1.5× 485 0.3× 1.5k 0.9× 685 0.6× 617 0.6× 287 6.4k

Countries citing papers authored by Peter Watkinson

Since Specialization
Citations

This map shows the geographic impact of Peter Watkinson'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 Watkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Watkinson more than expected).

Fields of papers citing papers by Peter Watkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Watkinson. 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 Watkinson. The network helps show where Peter Watkinson may publish in the future.

Co-authorship network of co-authors of Peter Watkinson

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Watkinson. A scholar is included among the top collaborators of Peter Watkinson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Watkinson. Peter Watkinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Harrison, Charlotte H., et al.. (2025). Oxygen therapy in early warning scores: a systematic review and meta-analysis. Thorax. 80(10). 693–701. 1 indexed citations
2.
Redfern, Oliver, Stephen Gerry, Robert Alan Hatch, et al.. (2025). Development and external validation of a clinical prediction model for new-onset atrial fibrillation in intensive care: a multicentre, retrospective cohort study. The Lancet Digital Health. 7(9). 100896–100896.
3.
Pimentel, Marco A. F., Alistair E. W. Johnson, Julie Darbyshire, et al.. (2024). Development of an enhanced scoring system to predict ICU readmission or in-hospital death within 24 hours using routine patient data from two NHS Foundation Trusts. BMJ Open. 14(4). e074604–e074604. 3 indexed citations
4.
Briggs, Jim, Ina Kostakis, Paul Meredith, et al.. (2024). Safer and more efficient vital signs monitoring protocols to identify the deteriorating patients in the general hospital ward: an observational study. SHILAP Revista de lepidopterología. 28(3). 1–143. 3 indexed citations
5.
Fields, Kara G., Gary S. Collins, Gregory Y.H. Lip, et al.. (2024). Atrial fibrillation after cardiac surgery: identifying candidate predictors through a Delphi process. BMJ Open. 14(9). e086589–e086589. 1 indexed citations
6.
Kent, Bridie, et al.. (2023). Patient and public involvement and engagement (PPIE) in research: The Golden Thread. Nursing in Critical Care. 29(1). 10–13. 2 indexed citations
7.
Fields, Kara G., Jie Ma, Tatjana Petrinic, et al.. (2023). Multivariable prediction models for atrial fibrillation after cardiac surgery: a systematic review protocol. BMJ Open. 13(3). e067260–e067260. 1 indexed citations
8.
Harrison, Charlotte H., Maxime Taquet, Paul J. Harrison, Peter Watkinson, & Matthew Rowland. (2023). Sex and age effects on risk of non-traumatic subarachnoid hemorrhage: Retrospective cohort study of 124,234 cases using electronic health records. Journal of Stroke and Cerebrovascular Diseases. 32(8). 107196–107196. 5 indexed citations
9.
Darbyshire, Julie, et al.. (2023). Design and validation of a new Healthcare Systems Usability Scale (HSUS) for clinical decision support systems: a mixed-methods approach. BMJ Open. 13(1). e065323–e065323. 11 indexed citations
10.
Patone, Martina, Xue W. Mei, Lahiru Handunnetthi, et al.. (2022). Risk of Myocarditis After Sequential Doses of COVID-19 Vaccine and SARS-CoV-2 Infection by Age and Sex. Circulation. 146(10). 743–754. 125 indexed citations breakdown →
11.
Armitage, Laura C., Shaun Davidson, Adam Mahdi, et al.. (2022). Diagnosing hypertension in primary care: a retrospective cohort study to investigate the importance of night-time blood pressure assessment. British Journal of General Practice. 73(726). e16–e23. 6 indexed citations
12.
Ferrando-Vivas, Paloma, Oliver Redfern, Kim Rajappan, et al.. (2022). New-onset atrial fibrillation in intensive care: epidemiology and outcomes. European Heart Journal Acute Cardiovascular Care. 11(8). 620–628. 16 indexed citations
13.
Gao, Min, Paul Aveyard, Nicola Lindson, et al.. (2022). Association between smoking, e-cigarette use and severe COVID-19: a cohort study. International Journal of Epidemiology. 51(4). 1062–1072. 32 indexed citations
14.
Areia, Carlos, Elizabeth King, Louise Young, et al.. (2021). Experiences of current vital signs monitoring practices and views of wearable monitoring: A qualitative study in patients and nurses. Journal of Advanced Nursing. 78(3). 810–822. 29 indexed citations
15.
Drikite, Laura, Mark Corbett, James Doidge, et al.. (2021). Pharmacological and non-pharmacological treatments and outcomes for new-onset atrial fibrillation in ICU patients: the CAFE scoping review and database analyses. Health Technology Assessment. 25(71). 1–174. 4 indexed citations
16.
Patone, Martina, Lahiru Handunnetthi, Defne Saatci, et al.. (2021). Neurological complications after first dose of COVID-19 vaccines and SARS-CoV-2 infection. Nature Medicine. 27(12). 2144–2153. 246 indexed citations breakdown →
17.
Shamout, Farah E., Tingting Zhu, Pulkit Sharma, Peter Watkinson, & David A. Clifton. (2019). Deep Interpretable Early Warning System for the Detection of Clinical Deterioration. IEEE Journal of Biomedical and Health Informatics. 24(2). 437–446. 61 indexed citations
18.
Harford, Mirae, et al.. (2018). Risk factors for new-onset atrial fibrillation on the general adult ICU: protocol for a systematic review. BMJ Open. 8(9). e024640–e024640. 5 indexed citations
20.
Charlton, Peter, Tim Bonnici, David A. Clifton, et al.. (2014). The Influence of Recording Equipment on the Accuracy of Respiratory Rate Estimation from the Electrocardiogram and Photoplethysmogram. Research Portal (King's College London). 2 indexed citations

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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