Derek Beaton

58 papers receiving 671 citations

Peers

Derek Beaton
Comparison fields: 5 of 125
  • Health Informatics 23
  • Cognitive Neuroscience 132
  • Psychiatry and Mental health 57
  • Food Science 64
  • Experimental and Cognitive Psychology 45
Replace Shahriar Gharibzadeh with:
Shahriar Gharibzadeh Iran
Seung Wan Kang South Korea
Angela Marra Italy
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Haibo Yu China
Yannick Schwartz France
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Derek Beaton relative to Shahriar Gharibzadeh Iran Shahriar Gharibzadeh's profile →
Citations per field
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Shahriar Gharibzadeh · 1×
Citations per year

Countries citing papers authored by Derek Beaton

Since Specialization
Citations

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

Fields of papers citing papers by Derek Beaton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013102
2 201450
3 202340
4 201932
5 201226
6 201426
7 201525
8 202323
9 201323
10 201222
11 201021
12 202317
13 201915
14 202014
15 202414
16 201513
17 202313
18 202312
19 202112
20 202312

About Derek Beaton

Derek Beaton is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Cognitive Neuroscience, Surgery and Cardiology and Cardiovascular Medicine, having authored 63 papers that have together received 682 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Cerebrovascular and Carotid Artery Diseases (8 papers), Cardiac, Anesthesia and Surgical Outcomes (7 papers), Peripheral Artery Disease Management (6 papers), Aortic aneurysm repair treatments (6 papers), Advanced Memory and Neural Computing (5 papers), Sensory Analysis and Statistical Methods (5 papers) and Functional Brain Connectivity Studies (5 papers). The work is most often cited by research in Health Informatics (23 citations), Cognitive Neuroscience (132 citations), Psychiatry and Mental health (57 citations), Food Science (64 citations) and Experimental and Cognitive Psychology (45 citations). Derek Beaton has collaborated with scholars based in United States, Canada and Saudi Arabia. Frequent co-authors include Hervé Abdi, Cherise R. Chin Fatt, Iren Valova, Francesca M. Filbey, Charles de Mestral, Ben Li, Duminda N. Wijeysundera, Douglas S. Lee, Muhammad Mamdani and Mohammed Al‐Omran. Their work appears in journals such as Journal of Vascular Surgery, Journal of the American Heart Association, Scientific Reports, Annals of Surgery and Journal of Vascular Surgery Venous and Lymphatic Disorders.

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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