Klaus Obermayer

53 papers and 1.2k indexed citations i.

About

Klaus Obermayer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Klaus Obermayer has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 14 papers in Signal Processing. Recurrent topics in Klaus Obermayer’s work include Neural Networks and Applications (15 papers), Neural dynamics and brain function (8 papers) and Speech and Audio Processing (7 papers). Klaus Obermayer is often cited by papers focused on Neural Networks and Applications (15 papers), Neural dynamics and brain function (8 papers) and Speech and Audio Processing (7 papers). Klaus Obermayer collaborates with scholars based in Germany, United States and United Kingdom. Klaus Obermayer's co-authors include Klaus Schulten, Ed Erwin, Sambu Seo, Thore Graepel, Michael Scholz, Carsten Duch, Stephan Schmitt, Jan Felix Evers, Sepp Hochreiter and Ralf Herbrich and has published in prestigious journals such as NeuroImage, Philosophical Transactions of the Royal Society B Biological Sciences and The Journal of the Acoustical Society of America.

In The Last Decade

Co-authorship network of co-authors of Klaus Obermayer i

Fields of papers citing papers by Klaus Obermayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klaus Obermayer. 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 Klaus Obermayer. The network helps show where Klaus Obermayer may publish in the future.

Countries citing papers authored by Klaus Obermayer

Since Specialization
Citations

This map shows the geographic impact of Klaus Obermayer'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 Klaus Obermayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Obermayer 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.

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