Daniel Rueckert

505 papers and 40.5k indexed citations i.

About

Daniel Rueckert is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Daniel Rueckert has authored 505 papers receiving a total of 40.5k indexed citations (citations by other indexed papers that have themselves been cited), including 276 papers in Radiology, Nuclear Medicine and Imaging, 187 papers in Computer Vision and Pattern Recognition and 79 papers in Artificial Intelligence. Recurrent topics in Daniel Rueckert’s work include Medical Image Segmentation Techniques (148 papers), Advanced MRI Techniques and Applications (113 papers) and Advanced Neuroimaging Techniques and Applications (69 papers). Daniel Rueckert is often cited by papers focused on Medical Image Segmentation Techniques (148 papers), Advanced MRI Techniques and Applications (113 papers) and Advanced Neuroimaging Techniques and Applications (69 papers). Daniel Rueckert collaborates with scholars based in United Kingdom, Germany and United States. Daniel Rueckert's co-authors include Joseph V. Hajnal, David J. Hawkes, Paul Aljabar, José Caballero, David Hill, Mark Jenkinson, Alexander Hammers, Ben Glocker, Luke Sonoda and Carmel Hayes and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Co-authorship network of co-authors of Daniel Rueckert i

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.

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025