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 Christopher Zach sits on this spectrum.
This scientist: 153 publications — 28th percentile
28% 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 Christopher Zach sits on this spectrum.
This scientist: 37 D-Index — 27th percentile
27% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Christopher Zach is affiliated with Chalmers University of Technology in Sweden. Their research spans extensive work within computer science and engineering, with a focus on specialized subfields such as computer vision and pattern recognition, artificial intelligence, aerospace engineering, radiology, nuclear medicine and imaging, and computational mechanics.
The scientist's recent publications highlight involvement in topics related to anomaly detection, adversarial robustness, generative adversarial networks and image synthesis, digital media forensic detection, robotics and sensor-based localization, machine learning and algorithms, and advanced vision and imaging.
Recent papers by Christopher Zach include:
Frequently collaborating researchers include Che-Tsung Lin, Huu Le, Chee Seng Chan, Chun Chet Ng, and Jie Long Kew. These co-authors have contributed to multiple publications in partnership with Christopher Zach over time.
The scientist's work has appeared in venues such as arXiv (Cornell University), UNC Libraries, the 2022 26th International Conference on Pattern Recognition (ICPR), Pattern Recognition journal, and Lecture Notes in Computer Science.
Major research themes center on the following topics:
The integration of advanced imaging, machine learning methods, and robust data analysis forms a consistent core of Christopher Zach's academic contributions. This body of work addresses challenges in both theoretical algorithm development and practical application across multiple technical disciplines.
C. Zach;T. Pock;H. Bischof
Jamie Shotton;Ben Glocker;Christopher Zach;Shahram Izadi
Arnold Irschara;Christopher Zach;Jan-Michael Frahm;Horst Bischof
Andreas Wedel;Thomas Pock;Christopher Zach;Horst Bischof
Michael Zollhöfer;Matthias Nießner;Shahram Izadi;Christoph Rehmann
Xiaowei Li;Changchang Wu;Christopher Zach;Svetlana Lazebnik
C. Zach;T. Pock;H. Bischof
Christopher Zach;Manfred Klopschitz;Marc Pollefeys
Christian Hane;Christopher Zach;Andrea Cohen;Roland Angst
Christopher Zach;David Gallup;Jan Michael Frahm;Marc Niethammer
Rudra P. K. Poudel;Ujwal Bonde;Stephan Liwicki;Christopher Zach
Christopher Zach
Vivek Pradeep;Christoph Rhemann;Shahram Izadi;Christopher Zach
Thomas Pock;Martin Urschler;Christopher Zach;Reinhard Beichel
Christopher Zach
Roland Memisevic;Christopher Zach;Marc Pollefeys;Geoffrey E. Hinton
Liang Shan;Christopher Zach;Cecil Charles;Marc Niethammer
C. Zach;D. Gallup;J.-M. Frahm
Andrea Cohen;Christopher Zach;Sudipta N. Sinha;Marc Pollefeys
Gabriel L Hart;Christopher Zach;Marc Niethammer
Pulak Purkait;Cheng Zhao;Christopher Zach
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Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 46
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