Daniel Rueckert

92.9k citations
591 papers · 44.6k indexed · 17 hit papers · h-index 88

Daniel Rueckert

565 papers receiving 43.7k citations

Hit Papers

Evalu...200199920262008201710002.0k3.0k4.0k

Peers

Daniel Rueckert
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
Replace Dinggang Shen with:
Dinggang Shen United States
Ron Kikinis United States
Christos Davatzikos United States
Max A. Viergever Netherlands
U. Rajendra Acharya Singapore
Sébastien Ourselin United Kingdom
James C. Gee United States
D. Louis Collins Canada
Li Wang China
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Daniel Rueckert relative to Dinggang Shen United States Dinggang Shen's profile →
Citations per field
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Dinggang Shen · 1×
Citations per year

Countries citing papers authored by Daniel Rueckert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Rueckert Line = papers co-authored together Daniel Rueckert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
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4 20242
5 20243
6 202413
7 20240
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11 20232
12 20239
13 20228
14 20229
15 20217
16 202015
17 201916
18 2019137
19 201886
20
Information Extraction from Medical Images (IXI): Developing an e-Science Application Based on the Globus Toolkit
200310

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.

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