John Rigg
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
-
- Health disparities and outcomes
Papers in
-
- Artificial Intelligence in Healthcare 3
-
- Machine Learning in Healthcare 5
- Co-authors
- SIMON M. BURGESS (1 shared paper)Carol Propper (1 shared paper)Orla Doyle (5 shared papers)Stephen P. Jenkins (2 shared papers)Nadejda Leavitt (3 shared papers)Tom Sefton (1 shared paper)Elena Bardasi (1 shared paper)Eugene Nivorozhkin (1 shared paper)
- Journals
- Value in Health (3 papers)Journal of Social Policy (2 papers)Neurology (1 paper)Cambridge Journal of Economics (1 paper)Ageing and Society (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
John Rigg
14 papers receiving 315 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 26
- Health 40
- Health Information Management 29
- Safety Research 34
- Demography 27
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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 85 | |
| 2 | 2019 | 51 | |
| 3 | 2020 | 48 | |
| 4 | 2002 | 36 | |
| 5 | 2006 | 29 | |
| 6 | 2008 | 23 | |
| 7 | Labour Market Disadvantage amongst Disabled People: A longitudinal perspective | 2005 | 19 |
| 8 | 2004 | 18 | |
| 9 | 2022 | 13 | |
| 10 | 2023 | 13 | |
| 11 | 2015 | 4 | |
| 12 | 2015 | 2 | |
| 13 | 2016 | 1 | |
| 14 | 2017 | 1 |
About John Rigg
John Rigg is a scholar working on Health Information Management, Artificial Intelligence, Hepatology, Demography and Safety Research, having authored 14 papers that have together received 343 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Artificial Intelligence in Healthcare (3 papers), Disability Education and Employment (2 papers), Hepatitis C virus research (2 papers), Income, Poverty, and Inequality (2 papers), Retirement, Disability, and Employment (2 papers), Health disparities and outcomes (1 paper) and Maternal and Neonatal Healthcare (1 paper). The work is most often cited by research in Health Informatics (26 citations), Health (40 citations), Health Information Management (29 citations), Safety Research (34 citations) and Demography (27 citations). John Rigg has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include SIMON M. BURGESS, Carol Propper, Orla Doyle, Stephen P. Jenkins, Nadejda Leavitt, Tom Sefton, Elena Bardasi, Eugene Nivorozhkin, Christopher J. Gerry and Claude J. Schmitt. Their work appears in journals such as Value in Health, Journal of Social Policy, Neurology, Cambridge Journal of Economics and Ageing and Society.
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.