Gareth John

14 papers receiving 1.1k citations

Gareth John's Hit Papers

The SAIL databank: linking multiple health and social care datasets 2009 · 460 citations
4600+5+11Years since publication100200300400

Peers

Gareth John
Comparison fields: 5 of 98
  • Geriatrics and Gerontology 30
  • Health 62
  • Emergency Medicine 39
  • Health Information Management 21
  • Management Science and Operations Research 56
Replace Martin Heaven with:
Martin Heaven United Kingdom
Sanja Lujic Australia
Deirdre Hennessy Canada
Charles Burchill Canada
Van L. Parsons United States
Kristin Bakke Lysdahl Norway
Lynelle Moon Australia
Michael Lin United States
Ronan O’Sullivan Ireland
Marcelo Coca Perraillon United States
Gareth John relative to Martin Heaven United Kingdom Martin Heaven's profile →
Citations per field
00.5×2.7×
Martin Heaven · 1×
Citations per year

Countries citing papers authored by Gareth John

Since Specialization
Citations

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

Fields of papers citing papers by Gareth John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gareth John, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gareth John Line = papers co-authored together Gareth John links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
The SAIL databank: linking multiple health and social care datasets
Hit paper breakdown →
2009460
2
The SAIL Databank: building a national architecture for e-health research and evaluation
Hit paper breakdown →
2009417
3 200536
4 202333
5 201524
6 202121
7 200519
8 201317
9 201016
10 202014
11 20148
12 20245
13 20013
14 20221
15 20240

About Gareth John

Gareth John is a scholar working on Management Science and Operations Research, Statistics and Probability, Surgery, Critical Care and Intensive Care Medicine and Social Psychology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Quality and Management (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Antibiotic Use and Resistance (1 paper), Injury Epidemiology and Prevention (1 paper), Intensive Care Unit Cognitive Disorders (1 paper), COVID-19 epidemiological studies (1 paper), Acute Myocardial Infarction Research (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Geriatrics and Gerontology (30 citations), Health (62 citations), Emergency Medicine (39 citations), Health Information Management (21 citations) and Management Science and Operations Research (56 citations). Gareth John has collaborated with scholars based in United Kingdom, Qatar and Malta. Frequent co-authors include Ronan A Lyons, David Ford, Caroline Brooks, Kerina Jones, Owen Bodger, Simon Thompson, Sinéad Brophy, Rhys Pockett, Andrew Evans and Emma Evans. Their work appears in journals such as International Journal for Population Data Science, Journal of Infection, International Journal of Injury Control and Safety Promotion, Prenatal Diagnosis and BMC Pregnancy and Childbirth.

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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