Steven McDonagh
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Neural Network Applications
- Image Enhancement Techniques
Papers in
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- Advanced Vision and Imaging 9
- Advanced Image Processing Techniques 5
- Image Enhancement Techniques 3
- Multimodal Machine Learning Applications 3
- Image and Signal Denoising Methods 3
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- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Kenny Mitchell (4 shared papers)Markus Groß (1 shared paper)Bochang Moon (2 shared papers)Daniel Rueckert (4 shared papers)Matthew F. Nolan (1 shared paper)Gülşen Sürmeli (1 shared paper)Sarah Parisot (5 shared papers)Amir Alansary (3 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (3 papers)Computer Graphics Forum (2 papers)Neurocomputing (1 paper)The International Journal of High Performance Computing Applications (1 paper)ACM Transactions on Graphics (1 paper)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
Steven McDonagh
24 papers receiving 357 citations
Peers
Comparison fields: 5 of 69
- Computer Graphics and Computer-Aided Design 50
- Computer Vision and Pattern Recognition 194
- Artificial Intelligence 98
- Pediatrics, Perinatology and Child Health 49
- Radiology, Nuclear Medicine and Imaging 49
Countries citing papers authored by Steven McDonagh
This map shows the geographic impact of Steven McDonagh'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 Steven McDonagh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven McDonagh more than expected).
Fields of papers citing papers by Steven McDonagh
This network shows the impact of papers produced by Steven McDonagh. 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 Steven McDonagh. The network helps show where Steven McDonagh may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven McDonagh, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2016 | 46 | |
| 3 | 2015 | 38 | |
| 4 | Unsupervised Lesion Detection in Brain CT using Bayesian Convolutional Autoencoders | 2018 | 32 |
| 5 | 2017 | 31 | |
| 6 | 2023 | 26 | |
| 7 | 2022 | 24 | |
| 8 | 2013 | 15 | |
| 9 | 2015 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2016 | 12 | |
| 12 | 2022 | 12 | |
| 13 | Simultaneous registration of multi-view range images with adaptive kernel density estimation | 2013 | 10 |
| 14 | Using 3D information for classification of non-melanoma skin lesions | 2008 | 9 |
| 15 | 2023 | 6 | |
| 16 | 2017 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2024 | 5 | |
| 19 | Deep Pose Estimation for Image-Based Registration | 2018 | 4 |
| 20 | 2024 | 3 |
About Steven McDonagh
Steven McDonagh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 25 papers that have together received 373 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Advanced Image Processing Techniques (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Image Enhancement Techniques (3 papers), COVID-19 diagnosis using AI (3 papers), Multimodal Machine Learning Applications (3 papers), Image and Signal Denoising Methods (3 papers) and Computer Graphics and Visualization Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (50 citations), Computer Vision and Pattern Recognition (194 citations), Artificial Intelligence (98 citations), Pediatrics, Perinatology and Child Health (49 citations) and Radiology, Nuclear Medicine and Imaging (49 citations). Steven McDonagh has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Kenny Mitchell, Markus Groß, Bochang Moon, Daniel Rueckert, Matthew F. Nolan, Gülşen Sürmeli, Sarah Parisot, Amir Alansary, Joseph V. Hajnal and Bernhard Kainz. Their work appears in journals such as IEEE Transactions on Medical Imaging, Computer Graphics Forum, Neurocomputing, The International Journal of High Performance Computing Applications and ACM Transactions on Graphics.
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.