The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Kristian Bredies sits on this spectrum.
This scientist: 115 publications — 18th percentile
18% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Kristian Bredies sits on this spectrum.
This scientist: 39 D-Index — 41st percentile
41% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Kristian Bredies is affiliated with the University of Graz in Austria and has a substantial body of research primarily focused on mathematics, computer science, and medicine. Their work contributes to several subfields including Radiology, Nuclear Medicine and Imaging, Mathematical Physics, Computational Theory and Mathematics, Computational Mechanics, and Computer Vision and Pattern Recognition.
Their research encompasses a range of topics such as Numerical Methods in Inverse Problems, Sparse and Compressive Sensing Techniques, Optimization and Variational Analysis, Medical Imaging Techniques and Applications, Advanced MRI Techniques and Applications, Matrix Theory and Algorithms, and Advanced Optimization Algorithms Research.
Recent publications by Kristian Bredies include:
These works reflect ongoing interests in inverse problems and optimization algorithms within computational mathematics and imaging techniques.
Kristian Bredies frequently publishes in venues such as:
Their collaborative network includes several frequent co-authors, notably:
The diversity of their co-authors and publication venues indicates interdisciplinary engagement across mathematics, computational methods, and medical imaging fields. Kristian Bredies' publication record reveals contributions that align with contemporary computational challenges in inverse problems and optimization, leveraging mathematical techniques applicable to imaging and signal processing domains.
Kristian Bredies;Karl Kunisch;Thomas Pock
Florian Knoll;Kristian Bredies;Thomas Pock;Rudolf Stollberger
Kristian Bredies;Dirk A. Lorenz
Christian Langkammer;Christian Langkammer;Kristian Bredies;Benedikt A. Poser;Markus Barth
Kristian Bredies;Hanna Katriina Pikkarainen
Christian Langkammer;Ferdinand Schweser;Karin Shmueli;Christian Kames
Kristian Bredies;Dirk A. Lorenz
Kristian Bredies;Dirk A. Lorenz;Peter Maass
Simon Daniel Robinson;Kristian Bredies;Diana Khabipova;Diana Khabipova;Barbara Dymerska
René Ranftl;Kristian Bredies;Thomas Pock;Thomas Pock
Tuomo Valkonen;Kristian Bredies;Florian Knoll
Florian Knoll;Christian Clason;Kristian Bredies;Martin Uecker
Florian Knoll;Martin Holler;Thomas Koesters;Ricardo Otazo
Kristian Bredies
Kristian Bredies;Marcello Carioni
Kristian Bredies;Dirk A Lorenz
Kristian Bredies;Yiqiu Dong;Michael Hintermüller
Kristian Bredies;Dirk A. Lorenz;Stefan Reiterer
Kristian Bredies;Martin Holler
Thomas Bonesky;Kristian Bredies;Dirk A Lorenz;Peter Maass
K. Bredies;M. Holler
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