The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Daniel Rueckert sits on this spectrum.
This scientist: 1,187 publications — 100th percentile
100% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Daniel Rueckert sits on this spectrum.
This scientist: 132 D-Index — 99th percentile
99% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Daniel Rueckert is affiliated with the Technical University of Munich in Germany, focusing primarily on research at the intersection of medicine and computer science. Their work encompasses various subfields including radiology, nuclear medicine and imaging, artificial intelligence, computer vision and pattern recognition, pediatrics, perinatology and child health, as well as biomedical engineering.
Their research topics cover a range of areas in medical imaging and analysis, notably:
Recent publications demonstrate engagement with both methodological advances and clinical applications. Notable papers include:
The scientist frequently collaborates with other researchers, including Georgios Kaissis, Kerstin Hammernik, Joseph V. Hajnal, Benedikt Wiestler, and Wenjia Bai. These coauthors appear regularly across their body of work.
Publication venues for their research include:
In terms of book contributions, Daniel Rueckert has authored works published by Springer Science+Business Media and IntechOpen. Titles include "Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning" (2021) and "Gamification - Analysis, Design, Development and Ludification" (2022).
Awards received include recognition as an IEEE Fellow in 2016 for contributions to biomedical image computing, Fellow of the Royal Academy of Engineering (UK) in 2015, and Fellowship of The Academy of Medical Sciences, United Kingdom.
S M Smith;M Jenkinson;H Johansen-Berg;D Rueckert
Wenzhe Shi;Jose Caballero;Ferenc Huszar;Johannes Totz
D. Rueckert;L.I. Sonoda;C. Hayes;D.L.G. Hill
Ozan Oktay;Jo Schlemper;Loïc Le Folgoc;Matthew C. H. Lee
Konstantinos Kamnitsas;Christian Ledig;Virginia F.J. Newcombe;Joanna P. Simpson
Arno Klein;Jesper L. R. Andersson;Babak A. Ardekani;Babak A. Ardekani;John Ashburner
Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer
Jo Schlemper;Ozan Oktay;Michiel Schaap;Mattias P. Heinrich
S. Kevin Zhou;Hayit Greenspan;Christos Davatzikos;James S. Duncan
Jo Schlemper;Jose Caballero;Joseph V. Hajnal;Anthony N. Price
Paul Aljabar;Rolf A. Heckemann;Alexander Hammers;Joseph V. Hajnal
Rolf A. Heckemann;Joseph V. Hajnal;Paul Aljabar;Daniel Rueckert
Chen Chen;Chen Qin;Huaqi Qiu;Giacomo Tarroni;Giacomo Tarroni
G Z Yang;D Hawkes;D Rueckert;J A Noble
Ozan Oktay;Enzo Ferrante;Konstantinos Kamnitsas;Mattias Heinrich
Wenjia Bai;Matthew Sinclair;Giacomo Tarroni;Ozan Oktay
Georgios A. Kaissis;Georgios A. Kaissis;Marcus R. Makowski;Daniel Rückert;Rickmer F. Braren
Sarah Parisot;Sofia Ira Ktena;Enzo Ferrante;Matthew C. H. Lee
Stephen M Smith;Heidi Johansen-Berg;Mark Jenkinson;Daniel Rueckert
Chen Qin;Jo Schlemper;Jose Caballero;Anthony N. Price
D. Rueckert;A.F. Frangi;J.A. Schnabel
Antonios Makropoulos;Emma C. Robinson;Emma C. Robinson;Andreas Schuh;Robert Wright
Liang Chen;Paul Bentley;Kensaku Mori;Kazunari Misawa
A.F. Frangi;D. Rueckert;J.A. Schnabel;W.J. Niessen
Ozan Oktay;Enzo Ferrante;Konstantinos Kamnitsas;Mattias Heinrich
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