Brendan Chwyl
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Cardiology and Cardiovascular Medicine
- Aerospace Engineering
- Co-authors
- Mohammad Javad ShafieeFrancis LiAlexander WongAudrey G. ChungDavid A. ClausiBechara J. SaabXiaoyu WangRobert Amelard
- Topics
- Non-Invasive Vital Sign Monitoring (6 papers)Heart Rate Variability and Autonomic Control (5 papers)Hemodynamic Monitoring and Therapy (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionHealth InformaticsIndustrial and Manufacturing Engineering
- Journals
- Electronics LettersBiomedical Signal Processing and ControlPubMed
In The Last Decade
Brendan Chwyl
11 papers receiving 162 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 109
- Artificial Intelligence 26
- Radiology, Nuclear Medicine and Imaging 22
- Cardiology and Cardiovascular Medicine 18
- Aerospace Engineering 18
Countries citing papers authored by Brendan Chwyl
This map shows the geographic impact of Brendan Chwyl'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 Brendan Chwyl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brendan Chwyl more than expected).
Fields of papers citing papers by Brendan Chwyl
This network shows the impact of papers produced by Brendan Chwyl. 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 Brendan Chwyl. The network helps show where Brendan Chwyl may publish in the future.
Co-authorship network of co-authors of Brendan Chwyl
This figure shows the co-authorship network connecting the top 25 collaborators of Brendan Chwyl. A scholar is included among the top collaborators of Brendan Chwyl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brendan Chwyl. Brendan Chwyl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 119 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 2 |
About Brendan Chwyl
Brendan Chwyl is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Sensory Systems, having authored 13 papers that have together received 171 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (6 papers), Heart Rate Variability and Autonomic Control (5 papers) and Hemodynamic Monitoring and Therapy (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (109 citations), Health Informatics (4 citations) and Industrial and Manufacturing Engineering (14 citations). Brendan Chwyl has collaborated with scholars based in Canada and China. Frequent co-authors include Mohammad Javad Shafiee, Francis Li, Alexander Wong, Audrey G. Chung, David A. Clausi, Alexander Wong, Bechara J. Saab, Xiaoyu Wang, Robert Amelard and Alexander Wong. Their work appears in journals such as Electronics Letters, Biomedical Signal Processing and Control and PubMed.
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.