Brian Deegan
Impact in
- Neurology top 10%
- Traumatic Brain Injury and Neurovascular Disturbances
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- Heart Rate Variability and Autonomic Control
Papers in
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- Advanced Neural Network Applications 6
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- CCD and CMOS Imaging Sensors 5
- Co-authors
- Jorge M. Serrador (9 shared papers)Gearóid ÓLaighin (9 shared papers)Edward Jones (23 shared papers)Farzaneh A. Sorond (3 shared papers)Lewis A. Lipsitz (2 shared papers)Patrick Denny (17 shared papers)Jonathan Horgan (15 shared papers)Martin Glavin (21 shared papers)
- Journals
- IEEE Access (6 papers)IEEE Open Journal of Vehicular Technology (4 papers)Age and Ageing (2 papers)Sensors (2 papers)Autonomic Neuroscience (1 paper)
- Partner nations
- IrelandUnited StatesFrance
In The Last Decade
Brian Deegan
41 papers receiving 507 citations
Peers
Comparison fields: 5 of 94
- Neurology 138
- Cardiology and Cardiovascular Medicine 87
- Neurology 31
- Radiology, Nuclear Medicine and Imaging 66
- Computer Vision and Pattern Recognition 60
Countries citing papers authored by Brian Deegan
This map shows the geographic impact of Brian Deegan'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 Brian Deegan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Deegan more than expected).
Fields of papers citing papers by Brian Deegan
This network shows the impact of papers produced by Brian Deegan. 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 Brian Deegan. The network helps show where Brian Deegan may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Deegan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 70 | |
| 2 | 2010 | 70 | |
| 3 | 2024 | 44 | |
| 4 | 2009 | 38 | |
| 5 | 2011 | 28 | |
| 6 | 2018 | 25 | |
| 7 | 2007 | 25 | |
| 8 | 2019 | 24 | |
| 9 | 2007 | 22 | |
| 10 | 2010 | 22 | |
| 11 | 2023 | 19 | |
| 12 | 2014 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2007 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2023 | 6 |
About Brian Deegan
Brian Deegan is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Surgery, Automotive Engineering and Neurology, having authored 47 papers that have together received 518 indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Autonomous Vehicle Technology and Safety (7 papers), Advanced Neural Network Applications (6 papers), Cardiovascular Syncope and Autonomic Disorders (6 papers), Infrared Target Detection Methodologies (6 papers), CCD and CMOS Imaging Sensors (5 papers), Optical Imaging and Spectroscopy Techniques (4 papers) and Industrial Vision Systems and Defect Detection (4 papers). The work is most often cited by research in Neurology (138 citations), Cardiology and Cardiovascular Medicine (87 citations), Neurology (31 citations), Radiology, Nuclear Medicine and Imaging (66 citations) and Computer Vision and Pattern Recognition (60 citations). Brian Deegan has collaborated with scholars based in Ireland, United States and France. Frequent co-authors include Jorge M. Serrador, Gearóid ÓLaighin, Edward Jones, Farzaneh A. Sorond, Lewis A. Lipsitz, Patrick Denny, Jonathan Horgan, Martin Glavin, Andrew Galica and Ciarán Eising. Their work appears in journals such as IEEE Access, IEEE Open Journal of Vehicular Technology, Age and Ageing, Sensors and Autonomic Neuroscience.
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.