Ben Glocker
Impact in
- Health Informatics top 0.1%
-
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Advanced Vision and Imaging
Papers in
-
- Medical Image Segmentation Techniques 43
- Advanced Neural Network Applications 21
- Advanced Vision and Imaging 17
-
- Radiomics and Machine Learning in Medical Imaging 32
- Co-authors
- Daniel Rueckert (34 shared papers)Konstantinos Kamnitsas (17 shared papers)Christian Ledig (5 shared papers)Virginia Newcombe (6 shared papers)David Menon (6 shared papers)Antonio Criminisi (19 shared papers)Andrew D. Kane (1 shared paper)Joanna Simpson (1 shared paper)
- Journals
- Medical Image Analysis (16 papers)IEEE Transactions on Medical Imaging (11 papers)The Lancet Digital Health (4 papers)NeuroImage (3 papers)PLoS ONE (3 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Ben Glocker
147 papers receiving 9.8k citations
Ben Glocker's Hit Papers
Peers
Comparison fields: 5 of 181
- Health Informatics 431
- Computer Vision and Pattern Recognition 5.0k
- Neurology 1.5k
- Radiology, Nuclear Medicine and Imaging 3.4k
- Geology 660
Countries citing papers authored by Ben Glocker
This map shows the geographic impact of Ben Glocker'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 Ben Glocker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Glocker more than expected).
Fields of papers citing papers by Ben Glocker
This network shows the impact of papers produced by Ben Glocker. 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 Ben Glocker. The network helps show where Ben Glocker may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Glocker, 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation Hit paper breakdown → | 2016 | 2140 |
| 2 | Attention gated networks: Learning to leverage salient regions in medical images Hit paper breakdown → | 2019 | 1249 |
| 3 | Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images Hit paper breakdown → | 2013 | 546 |
| 4 | ElasticFusion: Dense SLAM Without A Pose Graph Hit paper breakdown → | 2015 | 497 |
| 5 | ElasticFusion: Real-time dense SLAM and light source estimation Hit paper breakdown → | 2016 | 457 |
| 6 | Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation Hit paper breakdown → | 2017 | 438 |
| 7 | Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease Hit paper breakdown → | 2018 | 432 |
| 8 | 2008 | 255 | |
| 9 | 2017 | 252 | |
| 10 | 2012 | 178 | |
| 11 | 2020 | 134 | |
| 12 | 2011 | 123 | |
| 13 | 2022 | 121 | |
| 14 | 2019 | 119 | |
| 15 | 2012 | 111 | |
| 16 | 2013 | 103 | |
| 17 | 2013 | 101 | |
| 18 | 2019 | 96 | |
| 19 | 2020 | 92 | |
| 20 | 2013 | 83 |
About Ben Glocker
Ben Glocker is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering and Aerospace Engineering, having authored 151 papers that have together received 10.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (43 papers), Radiomics and Machine Learning in Medical Imaging (32 papers), AI in cancer detection (22 papers), Advanced Neural Network Applications (21 papers), Robotics and Sensor-Based Localization (19 papers), Medical Imaging and Analysis (18 papers), Advanced Vision and Imaging (17 papers) and Artificial Intelligence in Healthcare and Education (16 papers). The work is most often cited by research in Health Informatics (431 citations), Computer Vision and Pattern Recognition (5.0k citations), Neurology (1.5k citations), Radiology, Nuclear Medicine and Imaging (3.4k citations) and Geology (660 citations). Ben Glocker has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Daniel Rueckert, Konstantinos Kamnitsas, Christian Ledig, Virginia Newcombe, David Menon, Antonio Criminisi, Andrew D. Kane, Joanna Simpson, Ozan Oktay and Bernhard Kainz. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, The Lancet Digital Health, NeuroImage 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.