William Burns

24 papers receiving 190 citations

Peers

William Burns
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 58
  • Physical Therapy, Sports Therapy and Rehabilitation 12
  • Human-Computer Interaction 11
  • Applied Psychology 10
  • Ophthalmology 16
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Vasco Ponciano Portugal
Lakmini Malasinghe United Kingdom
Matías García-Constantino United Kingdom
Hülya Gökalp United Kingdom
Femina Hassan Aysha Beevi Denmark
Sergio Guillén Spain
Martin Braecklein Germany
Hongbo Ni China
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Countries citing papers authored by William Burns

Since Specialization
Citations

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

Fields of papers citing papers by William Burns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201351
2 201042
3 196519
4 202115
5 201215
6 201210
7 20087
8 20226
9 20125
10 20145
11 20134
12 20164
13 19993
14 20112
15 20202
16 20122
17 20132
18
EKG Fundamentals: An Open Access Flipped Classroom Critical EKG Curriculum
20171
19
Inactivity Monitoring for People with Alzheimer’s Disease Using Smartphone Technology
20121
20 20201

About William Burns

William Burns is a scholar working on Computer Vision and Pattern Recognition, General Health Professions, Physiology, Biomedical Engineering and Molecular Biology, having authored 24 papers that have together received 201 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (8 papers), Mobile Health and mHealth Applications (6 papers), Physical Activity and Health (5 papers), Technology Use by Older Adults (3 papers), SARS-CoV-2 detection and testing (2 papers), Stroke Rehabilitation and Recovery (2 papers), Balance, Gait, and Falls Prevention (2 papers) and Usability and User Interface Design (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (58 citations), Physical Therapy, Sports Therapy and Rehabilitation (12 citations), Human-Computer Interaction (11 citations), Applied Psychology (10 citations) and Ophthalmology (16 citations). William Burns has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Chris Nugent, Liming Chen, Mark Donnelly, Paul McCullagh, Huiru Zheng, Daniel M. Albert, Harold G. Scheie, N.D. Black, Richard Davies and Yan Huang. Their work appears in journals such as Scientific Reports, Future Generation Computer Systems, Journal of Telemedicine and Telecare, American Journal of Ophthalmology and Archives of Gerontology and Geriatrics.

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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