John Rigg

903 total citations
23 papers, 568 citations indexed

About

John Rigg is a scholar working on Health Information Management, General Health Professions and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, John Rigg has authored 23 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health Information Management, 4 papers in General Health Professions and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in John Rigg's work include Artificial Intelligence in Healthcare (5 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Imbalanced Data Classification Techniques (3 papers). John Rigg is often cited by papers focused on Artificial Intelligence in Healthcare (5 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Imbalanced Data Classification Techniques (3 papers). John Rigg collaborates with scholars based in United Kingdom, United States and Australia. John Rigg's co-authors include Carol Propper, Konrad Jamrozik, Paul S. Myles, Philip J. Peyton, Brendan Silbert, Simon Burgess, Stephen P. Jenkins, Orla Doyle, Richard Parsons and N. Leavitt and has published in prestigious journals such as Neurology, Scientific Reports and Anesthesia & Analgesia.

In The Last Decade

John Rigg

23 papers receiving 526 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Rigg United Kingdom 10 210 167 102 96 68 23 568
Peter F. Dunn United States 13 261 1.2× 190 1.1× 294 2.9× 40 0.4× 46 0.7× 41 712
Martin Shaw United Kingdom 18 103 0.5× 65 0.4× 61 0.6× 63 0.7× 27 0.4× 93 905
Giovanna Boccuzzo Italy 15 137 0.7× 76 0.5× 149 1.5× 62 0.6× 29 0.4× 52 549
Kathlyn Sue Haddock United States 12 34 0.2× 50 0.3× 122 1.2× 209 2.2× 9 0.1× 26 691
Sarah Tevis United States 12 150 0.7× 38 0.2× 31 0.3× 221 2.3× 15 0.2× 58 573
Joanne Wilkinson United States 10 55 0.3× 16 0.1× 87 0.9× 52 0.5× 26 0.4× 20 444
Dolapo Ayansina United Kingdom 12 46 0.2× 28 0.2× 52 0.5× 138 1.4× 16 0.2× 26 603
Nicolas B. Barreto United States 11 80 0.4× 84 0.5× 50 0.5× 38 0.4× 5 0.1× 32 364
Mary B. Breckenridge United States 8 106 0.5× 16 0.1× 120 1.2× 86 0.9× 4 0.1× 19 633
Paul Grogan Australia 15 84 0.4× 9 0.1× 134 1.3× 110 1.1× 9 0.1× 37 789

Countries citing papers authored by John Rigg

Since Specialization
Citations

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

Fields of papers citing papers by John Rigg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Rigg

This figure shows the co-authorship network connecting the top 25 collaborators of John Rigg. A scholar is included among the top collaborators of John Rigg 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 John Rigg. John Rigg 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.
Rigg, John, et al.. (2023). Finding undiagnosed patients with hepatitis C virus: an application of machine learning to US ambulatory electronic medical records. BMJ Health & Care Informatics. 30(1). e100651–e100651. 8 indexed citations
2.
DeLegge, Mark H., et al.. (2022). Machine learning using longitudinal prescription and medical claims for the detection of non-alcoholic steatohepatitis (NASH). BMJ Health & Care Informatics. 29(1). e100510–e100510. 9 indexed citations
3.
Doyle, Orla, N. Leavitt, & John Rigg. (2020). Finding undiagnosed patients with hepatitis C infection: an application of artificial intelligence to patient claims data. Scientific Reports. 10(1). 10521–10521. 39 indexed citations
4.
Kiely, David G., Orla Doyle, Harvey Jenner, et al.. (2019). Utilising artificial intelligence to determine patients at risk of a rare disease: idiopathic pulmonary arterial hypertension. Pulmonary Circulation. 9(4). 1–9. 39 indexed citations
5.
Rigg, John, et al.. (2017). Finding Undiagnosed Patients With Hepatitis C Virus: An Application Of State-Of-The-Art Machine Learning Methods. Value in Health. 20(9). A745–A746. 1 indexed citations
6.
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8.
Rigg, John & Matthew Hankins. (2015). Reducing And Quantifying Over-Fitting In Regression Models. Value in Health. 18(3). A5–A5. 1 indexed citations
9.
Joyeux, Roselyne, George Milunovich, & John Rigg. (2011). Forecasting Demand for Australian Passports. Asia Pacific Journal of Tourism Research. 17(1). 100–119. 2 indexed citations
10.
Gerry, Christopher J., Eugene Nivorozhkin, & John Rigg. (2008). The great divide: 'ruralisation' of poverty in Russia. Cambridge Journal of Economics. 32(4). 593–607. 23 indexed citations
11.
Propper, Carol & John Rigg. (2007). Socio-economic status and child behaviour: evidence from a contemporary UK cohort. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 9 indexed citations
12.
Propper, Carol, John Rigg, & Simon Burgess. (2007). Child health: evidence on the roles of family income and maternal mental health from a UK birth cohort. Health Economics. 16(11). 1245–1269. 89 indexed citations
13.
Propper, Carol & John Rigg. (2006). Understanding socio-economic inequalities in childhood respiratory health. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 1 indexed citations
14.
Rigg, John & Tom Sefton. (2006). Income Dynamics and the Life Cycle. Journal of Social Policy. 35(3). 411–435. 4 indexed citations
15.
Rigg, John. (2005). Labour Market Disadvantage amongst Disabled People: A longitudinal perspective. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 18 indexed citations
16.
Jenkins, Stephen P. & John Rigg. (2004). Disability and Disadvantage: Selection, Onset, and Duration Effects. Journal of Social Policy. 33(3). 479–501. 26 indexed citations
17.
Peyton, Philip J., et al.. (2003). Perioperative Epidural Analgesia and Outcome After Major Abdominal Surgery in High-Risk Patients. Anesthesia & Analgesia. 96(2). 548–554. 106 indexed citations
18.
Bardasi, Elena, Stephen P. Jenkins, & John Rigg. (2002). Retirement and the income of older people: a British perspective. Ageing and Society. 22(2). 131–159. 35 indexed citations
19.
Sánchez, Luis A., Amit Patel, Takao Ohki, et al.. (1999). Midterm experience with the endovascular treatment of isolated iliac aneurysms. Journal of Vascular Surgery. 30(5). 907–914. 50 indexed citations
20.
Rigg, John, et al.. (1987). The Economic Impact and Importance of Sport in the UK. International Review for the Sociology of Sport. 22(3). 149–170. 8 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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