Ken Fullerton

1.2k citations
27 papers · 805 · h-index 13

Impact in

Papers in

Ken Fullerton

26 papers receiving 758 citations

Peers

Ken Fullerton
Comparison fields: 5 of 99
  • Rehabilitation 122
  • Emergency Medical Services 110
  • Cognitive Neuroscience 145
  • Epidemiology 201
  • Endocrinology, Diabetes and Metabolism 84
Replace Juan B. Gáldiz with:
Juan B. Gáldiz Spain
Brian Gow United States
Louis E. Penrod United States
Rose Wharton United Kingdom
Fern Cheek United States
Morgan Lim Canada
Mukul Sharma Canada
Palmira Bernocchi Italy
Sy‐Jou Chen Taiwan
Mohammed Yousufuddin United States
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Citations per field
00.5×10×16.8×
Juan B. Gáldiz · 1×
Citations per year

Countries citing papers authored by Ken Fullerton

Since Specialization
Citations

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

Fields of papers citing papers by Ken Fullerton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ken Fullerton, 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 Ken Fullerton Line = papers co-authored together Ken Fullerton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991176
2 1986133
3 1988106
4 200365
5 201146
6 199945
7 201242
8 198828
9 200327
10 199223
11 201219
12 201617
13 201114
14 201010
15 20109
16 20108
17 20106
18
Modelling stroke patient pathways using survival analysis and simulation modelling
20096
19 19854
20 20144

About Ken Fullerton

Ken Fullerton is a scholar working on Emergency Medical Services, Epidemiology, Artificial Intelligence, Rehabilitation and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 805 indexed citations. Recurring topics across this work include Healthcare Operations and Scheduling Optimization (10 papers), Acute Ischemic Stroke Management (5 papers), Machine Learning in Healthcare (4 papers), Clinical practice guidelines implementation (4 papers), Stroke Rehabilitation and Recovery (3 papers), Advanced Queuing Theory Analysis (2 papers), Chronic Disease Management Strategies (2 papers) and Insurance, Mortality, Demography, Risk Management (2 papers). The work is most often cited by research in Rehabilitation (122 citations), Emergency Medical Services (110 citations), Cognitive Neuroscience (145 citations), Epidemiology (201 citations) and Endocrinology, Diabetes and Metabolism (84 citations). Ken Fullerton has collaborated with scholars based in United Kingdom, Malta and China. Frequent co-authors include R. W. Stout, David McSherry, P A O'Neill, Derrick Bennett, I. Davies, Sally McClean, Lalit Garg, Maria Barton, Gilbert MacKenzie and Mick Power. Their work appears in journals such as QJM, Age and Ageing, Stroke, Pharmacoepidemiology and Drug Safety and Cerebrovascular Diseases.

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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