Klaus Obermayer
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Cognitive Neuroscience top 10%
- Molecular Biology
- Co-authors
- Sambu SeoThore GraepelKlaus SchultenEd ErwinMichael ScholzCarsten DuchStephan SchmittJan Felix Evers
- Topics
- Neural Networks and Applications (19 papers)Neural dynamics and brain function (10 papers)Face and Expression Recognition (9 papers)
- Journals
- NeuroImagePhilosophical Transactions of the Royal Society B Biological SciencesBiophysical Journal
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Klaus Obermayer
80 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 144
- Artificial Intelligence 859
- Computer Vision and Pattern Recognition 594
- Signal Processing 270
- Cognitive Neuroscience 246
- Molecular Biology 179
Countries citing papers authored by Klaus Obermayer
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).
Fields of papers citing papers by Klaus Obermayer
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.
Co-authorship network of co-authors of Klaus Obermayer
This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Obermayer. A scholar is included among the top collaborators of Klaus Obermayer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Klaus Obermayer. Klaus Obermayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 14 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | Construction of approximation spaces for reinforcement learning | 7 |
| 7 | Classification Schemes for Step Sounds Based on Gammatone-Filters | 1 |
| 8 | FINDING SUBSEQUENCES OF MELODIES IN MUSICAL PIECES | 1 |
| 9 | Scale Degree Profiles from Audio Investigated with Machine Learning | 4 |
| 10 | Multiple-step ahead prediction for non linear dynamic systems: A Gaussian Process treatment with propagation of the uncertainty | 32 |
| 11 | 2 | |
| 12 | 55 | |
| 13 | Constant Q Profiles for Tracking Modulations in Audio Data Format | 1 |
| 14 | Constant Q Profiles for Tracking Modulations in Audio Data | 10 |
| 15 | Self-Organizing Map Formation: Foundations of Neural Computation | 15 |
| 16 | 74 | |
| 17 | Classification on Pairwise Proximity Data | 97 |
| 18 | An Annealed Self-Organizing Map for Source Channel Coding | 5 |
| 19 | 11 | |
| 20 | 81 |
About Klaus Obermayer
Klaus Obermayer is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 85 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neural Networks and Applications (19 papers), Neural dynamics and brain function (10 papers) and Face and Expression Recognition (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (594 citations), Artificial Intelligence (859 citations) and Signal Processing (270 citations). Klaus Obermayer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Sambu Seo, Thore Graepel, Klaus Schulten, Ed Erwin, Michael Scholz, Carsten Duch, Stephan Schmitt, Jan Felix Evers, Ralf Herbrich and Helge Ritter. Their work appears in journals such as NeuroImage, Philosophical Transactions of the Royal Society B Biological Sciences and Biophysical Journal.
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.