Keelin Murphy
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Health Informatics top 1%
Papers in
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- COVID-19 diagnosis using AI 15
- Radiomics and Machine Learning in Medical Imaging 14
- Medical Imaging Techniques and Applications 3
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- Lung Cancer Diagnosis and Treatment 10
- Co-authors
- Josien P. W. Pluim (8 shared papers)Marius Staring (3 shared papers)Stefan Klein (3 shared papers)Max A. Viergever (4 shared papers)Bram van Ginneken (31 shared papers)Mathias Prokop (10 shared papers)Hester A. Gietema (6 shared papers)Ecem Sogancioglu (7 shared papers)
- Journals
- Medical Image Analysis (5 papers)Medical Physics (3 papers)European Radiology (3 papers)IEEE Transactions on Medical Imaging (3 papers)PLoS ONE (2 papers)
- Partner nations
- NetherlandsGermanySouth Africa
In The Last Decade
Keelin Murphy
40 papers receiving 5.1k citations
Keelin Murphy's Hit Papers
Peers
Comparison fields: 5 of 172
- Radiology, Nuclear Medicine and Imaging 2.1k
- Health Informatics 96
- Computer Vision and Pattern Recognition 916
- Radiation 360
- Pulmonary and Respiratory Medicine 896
Countries citing papers authored by Keelin Murphy
This map shows the geographic impact of Keelin Murphy'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 Keelin Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keelin Murphy more than expected).
Fields of papers citing papers by Keelin Murphy
This network shows the impact of papers produced by Keelin Murphy. 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 Keelin Murphy. The network helps show where Keelin Murphy may publish in the future.
Co-authors
The 25 scholars most cited alongside Keelin Murphy, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | elastix: A Toolbox for Intensity-Based Medical Image Registration Hit paper breakdown → | 2009 | 3056 |
| 2 | The bayes net toolbox for matlab Hit paper breakdown → | 2001 | 705 |
| 3 | Deep learning for chest X-ray analysis: A survey Hit paper breakdown → | 2021 | 278 |
| 4 | 2009 | 234 | |
| 5 | 2010 | 164 | |
| 6 | 2020 | 147 | |
| 7 | 2015 | 92 | |
| 8 | 2010 | 85 | |
| 9 | 2011 | 52 | |
| 10 | 2009 | 46 | |
| 11 | 2020 | 38 | |
| 12 | 2008 | 37 | |
| 13 | 2012 | 37 | |
| 14 | 2012 | 34 | |
| 15 | 2014 | 27 | |
| 16 | 2016 | 25 | |
| 17 | 2009 | 17 | |
| 18 | 2017 | 13 | |
| 19 | 2007 | 13 | |
| 20 | 2023 | 12 |
About Keelin Murphy
Keelin Murphy is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, having authored 40 papers that have together received 5.2k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (15 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Lung Cancer Diagnosis and Treatment (10 papers), Medical Image Segmentation Techniques (7 papers), Medical Imaging and Analysis (4 papers), AI in cancer detection (4 papers), Tuberculosis Research and Epidemiology (3 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.1k citations), Health Informatics (96 citations), Computer Vision and Pattern Recognition (916 citations), Radiation (360 citations) and Pulmonary and Respiratory Medicine (896 citations). Keelin Murphy has collaborated with scholars based in Netherlands, Germany and South Africa. Frequent co-authors include Josien P. W. Pluim, Marius Staring, Stefan Klein, Max A. Viergever, Bram van Ginneken, Mathias Prokop, Hester A. Gietema, Ecem Sogancioglu, Erdi Çallı and Kicky G. van Leeuwen. Their work appears in journals such as Medical Image Analysis, Medical Physics, European Radiology, IEEE Transactions on Medical Imaging and PLoS ONE.
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.