John Rigg
Impact in
- Health Informatics top 10%
-
- Pain Management and Opioid Use
Papers in
-
- Artificial Intelligence in Healthcare 5
- Co-authors
- Carol Propper (3 shared papers)Paul S. Myles (2 shared papers)Konrad Jamrozik (2 shared papers)Philip J. Peyton (2 shared papers)Brendan Silbert (2 shared papers)Simon Burgess (1 shared paper)Stephen P. Jenkins (2 shared papers)Orla Doyle (5 shared papers)
- Journals
- Value in Health (3 papers)Anesthesia & Analgesia (2 papers)Journal of Social Policy (2 papers)Cambridge Journal of Economics (1 paper)Scientific Reports (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
John Rigg
23 papers receiving 526 citations
Peers
Comparison fields: 5 of 90
- Health Informatics 17
- Anesthesiology and Pain Medicine 68
- Cardiology and Cardiovascular Medicine 167
- Health 57
- Health Information Management 29
Countries citing papers authored by John Rigg
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
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-authors
The 25 scholars most cited alongside John Rigg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 106 | |
| 2 | 2003 | 92 | |
| 3 | 2007 | 89 | |
| 4 | 1999 | 50 | |
| 5 | 2019 | 39 | |
| 6 | 2020 | 39 | |
| 7 | 2002 | 35 | |
| 8 | 2004 | 26 | |
| 9 | 2008 | 23 | |
| 10 | Labour Market Disadvantage amongst Disabled People: A longitudinal perspective | 2005 | 18 |
| 11 | Socio-economic status and child behaviour: evidence from a contemporary UK cohort | 2007 | 9 |
| 12 | 2022 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 1987 | 8 | |
| 15 | 2015 | 4 | |
| 16 | 2006 | 4 | |
| 17 | 2011 | 2 | |
| 18 | 1990 | 2 | |
| 19 | Understanding socio-economic inequalities in childhood respiratory health | 2006 | 1 |
| 20 | 2016 | 1 |
About John Rigg
John Rigg is a scholar working on Health Information Management, General Health Professions, Cardiology and Cardiovascular Medicine, Sociology and Political Science and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 568 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), Imbalanced Data Classification Techniques (3 papers), Hepatitis C virus research (3 papers), Retirement, Disability, and Employment (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Disability Education and Employment (2 papers), Anesthesia and Pain Management (2 papers) and Pulmonary Hypertension Research and Treatments (2 papers). The work is most often cited by research in Health Informatics (17 citations), Anesthesiology and Pain Medicine (68 citations), Cardiology and Cardiovascular Medicine (167 citations), Health (57 citations) and Health Information Management (29 citations). John Rigg has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Carol Propper, Paul S. Myles, Konrad Jamrozik, Philip J. Peyton, Brendan Silbert, Simon Burgess, Stephen P. Jenkins, Orla Doyle, Richard Parsons and N. Leavitt. Their work appears in journals such as Value in Health, Anesthesia & Analgesia, Journal of Social Policy, Cambridge Journal of Economics and Scientific Reports.
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.