Daniel Rueckert
- Radiology, Nuclear Medicine and Imaging top 0.01%
- Advanced MRI Techniques and Applications 128
- Advanced Neuroimaging Techniques and Applications 77
- Medical Imaging Techniques and Applications 76
- Radiomics and Machine Learning in Medical Imaging 59
- Cardiac Imaging and Diagnostics 48
- Computer Vision and Pattern Recognition top 0.01%
- Medical Image Segmentation Techniques 190
- Health Informatics top 0.05%
- Neurology top 0.05%
- Cognitive Neuroscience top 0.1%
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- Neonatal and fetal brain pathology 53
- Fetal and Pediatric Neurological Disorders 48
- Co-authors
- Joseph V. HajnalDavid J. HawkesPaul AljabarJosé CaballeroDavid HillBen GlockerWenzhe ShiAlexander Hammers
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionHealth Informatics
- Journals
- IEEE Transactions on Medical Imaging (58 papers)NeuroImage (45 papers)Medical Image Analysis (36 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Daniel Rueckert
565 papers receiving 43.7k citations
Hit Papers
Peers
Comparison fields: 5 of 214
- Radiology, Nuclear Medicine and Imaging 20.2k
- Computer Vision and Pattern Recognition 16.2k
- Health Informatics 722
- Neurology 4.2k
- Cognitive Neuroscience 6.6k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 2020 | 15 | |
| 17 | 2019 | 16 | |
| 18 | 2019 | 137 | |
| 19 | 2018 | 86 | |
| 20 | Information Extraction from Medical Images (IXI): Developing an e-Science Application Based on the Globus Toolkit | 2003 | 10 |
About Daniel Rueckert
Daniel Rueckert is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Health Informatics, having authored 591 papers that have together received 44.6k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (190 papers), Advanced MRI Techniques and Applications (128 papers), Advanced Neuroimaging Techniques and Applications (77 papers), Medical Imaging Techniques and Applications (76 papers), Radiomics and Machine Learning in Medical Imaging (59 papers), Neonatal and fetal brain pathology (53 papers), Cardiac Imaging and Diagnostics (48 papers) and Fetal and Pediatric Neurological Disorders (48 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (20.2k citations), Computer Vision and Pattern Recognition (16.2k citations) and Health Informatics (722 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, Paul Aljabar, José Caballero, David Hill, Ben Glocker, Wenzhe Shi, Alexander Hammers, Mark Jenkinson and Luke Sonoda. Their work appears in journals such as IEEE Transactions on Medical Imaging, NeuroImage, Medical Image Analysis, PLoS ONE and NeuroImage Clinical.
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.