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 Klaus Obermayer sits on this spectrum.
This scientist: 351 publications — 82nd percentile
82% 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 Klaus Obermayer sits on this spectrum.
This scientist: 51 D-Index — 63rd percentile
63% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Klaus Obermayer is affiliated with the Technical University of Berlin in Germany. Their research spans primarily the fields of Neuroscience and Computer Science, with a focus on several subfields including Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Artificial Intelligence, and Computer Networks and Communications.
The main topics of Klaus Obermayer's work include neural dynamics and brain function, functional brain connectivity studies, advanced neuroimaging techniques and applications, sleep and wakefulness research, stochastic dynamics and bifurcation, nonlinear dynamics and pattern formation, and EEG and brain-computer interfaces.
Several frequent coauthors collaborate with Obermayer, including Caglar Cakan, Cristiana Dimulescu, Agnes Flöel, Liliia Khakimova, and Christoph Metzner.
Obermayer's papers are often published in venues such as bioRxiv (Cold Spring Harbor Laboratory), Frontiers in Computational Neuroscience, PLoS Computational Biology, arXiv (Cornell University), and Frontiers in Neuroinformatics.
Recent significant publications include:
Their research contributions focus on integrating computational modeling approaches with neurobiological data, emphasizing brain function dynamics, brain connectivity, and applications of neural simulation frameworks. Obermayer's work often addresses complex neural phenomena such as slow oscillations during sleep, population coding in visual cortex, and the computational efficiency of neural simulations.
R. Herbrich;T. Graepel;K. Obermayer
E. Erwin;K. Obermayer;K. Schulten
Sambu Seo;M. Wallat;T. Graepel;K. Obermayer
Jorge Mariño;James Schummers;David C Lyon;David C Lyon;Lars Schwabe
E. Erwin;Klaus Obermayer;Klaus Schulten
Sepp Hochreiter;Djork-Arné Clevert;Klaus Obermayer
Klaus Obermayer;Helge Ritter;Klaus Schulten
K. Obermayer;G. G. Blasdel;K. Schulten
Sambu Seo;Klaus Obermayer
Stephan Schmitt;Jan Felix Evers;Carsten Duch;Michael Scholz
Thore Graepel;Ralf Herbrich;Peter Bollmann-Sdorra;Klaus Obermayer
E. Erwin;K. Obermayer;K. Schulten
Thore Graepel;Matthias Burger;Klaus Obermayer
Sepp Hochreiter;Martin Heusel;Klaus Obermayer
Felix Franke;Michal Natora;Clemens Boucsein;Matthias H. Munk
R. Vollgraf;K. Obermayer
Ralf Herbrich;Thore Graepel;Peter Bollmann-Sdorra;Klaus Obermayer
S. Seo;M. Bode;K. Obermayer
Yun Shen;Michael J. Tobia;Tobias Sommer;Klaus Obermayer
Thore Graepel;Ralf Herbrich;Bernhard Schölkopf;Alex Smola
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