Dewar Finlay

3.5k citations
218 papers · 2.2k · h-index 23

Impact in

Papers in

Dewar Finlay

201 papers receiving 2.1k citations

Peers

Dewar Finlay
Comparison fields: 5 of 157
  • Health Informatics 69
  • Cardiology and Cardiovascular Medicine 754
  • Computer Vision and Pattern Recognition 350
  • Family Practice 23
  • Physical Therapy, Sports Therapy and Rehabilitation 58
Replace Mark van Gils with:
Mark van Gils Finland
Jessilyn Dunn United States
Hamid GholamHosseini New Zealand
Hugo Gambôa Portugal
Mirza Mansoor Baig New Zealand
Dimitrios I. Fotiadis Greece
Ioanna Chouvarda Greece
Santosh Kumar United States
Mitja Luštrek Slovenia
Tapas Mondal Canada
Dewar Finlay relative to Mark van Gils Finland Mark van Gils's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dewar Finlay

Since Specialization
Citations

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

Fields of papers citing papers by Dewar Finlay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013294
2 201873
3 200860
4 201659
5 202054
6 201753
7 201250
8 201447
9 201042
10 201741
11 200740
12
A Logical Framework for Behaviour Reasoning and Assistance in a Smart Home
200840
13 201138
14 202233
15 201631
16 201229
17 200629
18 200827
19 201726
20 201025

About Dewar Finlay

Dewar Finlay is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 218 papers that have together received 2.2k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (95 papers), Cardiac electrophysiology and arrhythmias (34 papers), EEG and Brain-Computer Interfaces (28 papers), Healthcare Technology and Patient Monitoring (25 papers), Non-Invasive Vital Sign Monitoring (20 papers), Context-Aware Activity Recognition Systems (17 papers), Phonocardiography and Auscultation Techniques (10 papers) and Heart Rate Variability and Autonomic Control (10 papers). The work is most often cited by research in Health Informatics (69 citations), Cardiology and Cardiovascular Medicine (754 citations), Computer Vision and Pattern Recognition (350 citations), Family Practice (23 citations) and Physical Therapy, Sports Therapy and Rehabilitation (58 citations). Dewar Finlay has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Chris Nugent, Daniel Guldenring, Raymond Bond, James McLaughlin, George Moore, Mark Donnelly, Josef Hallberg, Kåre Synnes, N.D. Black and Basel Kikhia. Their work appears in journals such as Journal of Electrocardiology, Sensors, Computer Methods and Programs in Biomedicine, ACS Nano and Journal of Biomedical Informatics.

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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