Daniel Rueckert
Impact in
- Health Informatics top 0.01%
- Artificial Intelligence in Healthcare and Education
- Computer Vision and Pattern Recognition top 0.01%
- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
Papers in
-
- Medical Image Segmentation Techniques 520
-
- Advanced MRI Techniques and Applications 106
- Cardiac Imaging and Diagnostics 68
- Advanced Neuroimaging Techniques and Applications 35
- Co-authors
- Joseph V. Hajnal (155 shared papers)David J. Hawkes (31 shared papers)José Caballero (13 shared papers)Ben Glocker (60 shared papers)Paul Aljabar (76 shared papers)David Hill (44 shared papers)Wenzhe Shi (49 shared papers)Martin O. Leach (4 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (65 papers)NeuroImage (51 papers)Medical Image Analysis (46 papers)Lecture notes in computer science (314 papers)Journal of Neurotrauma (14 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Daniel Rueckert
988 papers receiving 69k citations
Daniel Rueckert's Hit Papers
Peers
Comparison fields: 5 of 209
- Health Informatics 3.1k
- Computer Vision and Pattern Recognition 29.7k
- Radiology, Nuclear Medicine and Imaging 14.4k
- Psychiatry and Mental health 5.7k
- Neurology 2.3k
Countries citing papers authored by Daniel Rueckert
This map shows the geographic impact of Daniel Rueckert'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 Daniel Rueckert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Rueckert more than expected).
Fields of papers citing papers by Daniel Rueckert
This network shows the impact of papers produced by Daniel Rueckert. 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 Daniel Rueckert. The network helps show where Daniel Rueckert may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Rueckert, 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 1k papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data Hit paper breakdown → | 2006 | 5627 |
| 2 | Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Hit paper breakdown → | 2016 | 5409 |
| 3 | Nonrigid registration using free-form deformations: application to breast MR images Hit paper breakdown → | 1999 | 4374 |
| 4 | Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation Hit paper breakdown → | 2016 | 2720 |
| 5 | Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research Hit paper breakdown → | 2017 | 1951 |
| 6 | Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration Hit paper breakdown → | 2009 | 1847 |
| 7 | Attention gated networks: Learning to leverage salient regions in medical images Hit paper breakdown → | 2019 | 1494 |
| 8 | Medical Image Computing and Computer-Assisted Intervention Hit paper breakdown → | 2009 | 1371 |
| 9 | A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction Hit paper breakdown → | 2017 | 1029 |
| 10 | Secure, privacy-preserving and federated machine learning in medical imaging Hit paper breakdown → | 2020 | 958 |
| 11 | Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy Hit paper breakdown → | 2009 | 754 |
| 12 | Automatic anatomical brain MRI segmentation combining label propagation and decision fusion Hit paper breakdown → | 2006 | 732 |
| 13 | Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation Hit paper breakdown → | 2017 | 579 |
| 14 | Automated cardiovascular magnetic resonance image analysis with fully convolutional networks Hit paper breakdown → | 2018 | 578 |
| 15 | Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease Hit paper breakdown → | 2018 | 557 |
| 16 | Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics Hit paper breakdown → | 2007 | 520 |
| 17 | Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction Hit paper breakdown → | 2018 | 479 |
| 18 | Self-supervised learning for medical image analysis using image context restoration Hit paper breakdown → | 2019 | 435 |
| 19 | ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI Hit paper breakdown → | 2016 | 425 |
| 20 | The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction Hit paper breakdown → | 2018 | 382 |
About Daniel Rueckert
Daniel Rueckert is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Health Informatics, Psychiatry and Mental health and Artificial Intelligence, having authored 1k papers that have together received 70.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (520 papers), Advanced MRI Techniques and Applications (106 papers), Dementia and Cognitive Impairment Research (72 papers), Cardiac Imaging and Diagnostics (68 papers), Functional Brain Connectivity Studies (55 papers), Artificial Intelligence in Healthcare and Education (45 papers), Traumatic Brain Injury Research (37 papers) and Advanced Neuroimaging Techniques and Applications (35 papers). The work is most often cited by research in Health Informatics (3.1k citations), Computer Vision and Pattern Recognition (29.7k citations), Radiology, Nuclear Medicine and Imaging (14.4k citations), Psychiatry and Mental health (5.7k citations) and Neurology (2.3k citations). Daniel Rueckert has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Joseph V. Hajnal, David J. Hawkes, José Caballero, Ben Glocker, Paul Aljabar, David Hill, Wenzhe Shi, Martin O. Leach, Carmel Hayes and Alexander Hammers. Their work appears in journals such as IEEE Transactions on Medical Imaging, NeuroImage, Medical Image Analysis, Lecture notes in computer science and Journal of Neurotrauma.
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.