Eoin Brophy
Impact in
- Health Informatics top 10%
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
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- ECG Monitoring and Analysis 4
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- Digital Media Forensic Detection 3
- Context-Aware Activity Recognition Systems 2
- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Tomás Ward (10 shared papers)Qi She (2 shared papers)Zhengwei Wang (2 shared papers)Maarten De Vos (3 shared papers)Geraldine B. Boylan (3 shared papers)Alan F. Smeaton (5 shared papers)Willie Muehlhausen (2 shared papers)Peter Redmond (1 shared paper)
- Journals
- IEEE Access (2 papers)ACM Computing Surveys (1 paper)Cork Open Research Archive (University College Cork, Ireland) (1 paper)MDPI (MDPI AG) (1 paper)PubMed (1 paper)
In The Last Decade
Eoin Brophy
12 papers receiving 350 citations
Eoin Brophy's Hit Papers
Peers
Comparison fields: 5 of 78
- Health Informatics 12
- Signal Processing 57
- Cardiology and Cardiovascular Medicine 79
- Computer Vision and Pattern Recognition 83
- Artificial Intelligence 120
Countries citing papers authored by Eoin Brophy
This map shows the geographic impact of Eoin Brophy'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 Eoin Brophy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eoin Brophy more than expected).
Fields of papers citing papers by Eoin Brophy
This network shows the impact of papers produced by Eoin Brophy. 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 Eoin Brophy. The network helps show where Eoin Brophy may publish in the future.
Co-authors
The 14 scholars most cited alongside Eoin Brophy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Generative Adversarial Networks in Time Series: A Systematic Literature Review Hit paper breakdown → | 2022 | 199 |
| 2 | 2021 | 37 | |
| 3 | 2022 | 26 | |
| 4 | 2020 | 26 | |
| 5 | 2022 | 18 | |
| 6 | 2018 | 16 | |
| 7 | 2020 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 7 | |
| 10 | An interpretable machine vision approach to human activity recognition using photoplethysmograph sensor data | 2018 | 3 |
| 11 | 2020 | 1 | |
| 12 | A Neuro-AI Interface: Learning DNNs from the Human Brain | 2019 | 1 |
About Eoin Brophy
Eoin Brophy is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Biomedical Engineering, Surgery and Cognitive Neuroscience, having authored 12 papers that have together received 359 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (5 papers), ECG Monitoring and Analysis (4 papers), EEG and Brain-Computer Interfaces (3 papers), Digital Media Forensic Detection (3 papers), Healthcare Technology and Patient Monitoring (3 papers), Context-Aware Activity Recognition Systems (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Blind Source Separation Techniques (1 paper). The work is most often cited by research in Health Informatics (12 citations), Signal Processing (57 citations), Cardiology and Cardiovascular Medicine (79 citations), Computer Vision and Pattern Recognition (83 citations) and Artificial Intelligence (120 citations). Eoin Brophy has collaborated with scholars based in Ireland, Belgium and Japan. Frequent co-authors include Tomás Ward, Qi She, Zhengwei Wang, Maarten De Vos, Geraldine B. Boylan, Alan F. Smeaton, Zhengwei Wang, Willie Muehlhausen, Peter Redmond and Bryan M. Hennelly. Their work appears in journals such as IEEE Access, ACM Computing Surveys, Cork Open Research Archive (University College Cork, Ireland), MDPI (MDPI AG) 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.