H.-U. Bauer
- Artificial Intelligence top 5%
- Neural Networks and Applications 16
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 14
- Visual perception and processing mechanisms 5
- Signal Processing top 10%
- Blind Source Separation Techniques 8
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- stochastic dynamics and bifurcation 3
- Chaos control and synchronization 2
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- Nonlinear Dynamics and Pattern Formation 3
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- Retinal Development and Disorders 1
H.-U. Bauer
24 papers receiving 636 citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 397
- Cognitive Neuroscience 222
- Computer Vision and Pattern Recognition 188
- Signal Processing 94
- Statistical and Nonlinear Physics 55
Countries citing papers authored by H.-U. Bauer
This map shows the geographic impact of H.-U. Bauer'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 H.-U. Bauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H.-U. Bauer more than expected).
Fields of papers citing papers by H.-U. Bauer
This network shows the impact of papers produced by H.-U. Bauer. 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 H.-U. Bauer. The network helps show where H.-U. Bauer may publish in the future.
Co-authorship network
The 11 scholars most cited alongside H.-U. Bauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 1 | |
| 2 | 1999 | 52 | |
| 3 | 1998 | 39 | |
| 4 | 1998 | 7 | |
| 5 | 1997 | 80 | |
| 6 | 1997 | 1 | |
| 7 | 1996 | 10 | |
| 8 | 1996 | 11 | |
| 9 | 1996 | 66 | |
| 10 | 1995 | 16 | |
| 11 | 1994 | 20 | |
| 12 | 1993 | 6 | |
| 13 | 1993 | 37 | |
| 14 | 1993 | 33 | |
| 15 | 1992 | 200 | |
| 16 | How Oscillatory Neuronal Responses Reflect Bistability and Switching of the Hidden Assembly Dynamics | 1992 | 2 |
| 17 | 1991 | 19 | |
| 18 | 1990 | 6 | |
| 19 | 1990 | 3 | |
| 20 | 1989 | 3 |
About H.-U. Bauer
H.-U. Bauer is a scholar working on Signal Processing, Cognitive Neuroscience, Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 715 indexed citations. Recurring topics across this work include Neural Networks and Applications (16 papers), Neural dynamics and brain function (14 papers), Blind Source Separation Techniques (8 papers), Visual perception and processing mechanisms (5 papers), stochastic dynamics and bifurcation (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Chaos control and synchronization (2 papers) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Artificial Intelligence (397 citations), Cognitive Neuroscience (222 citations), Computer Vision and Pattern Recognition (188 citations), Signal Processing (94 citations) and Statistical and Nonlinear Physics (55 citations). H.-U. Bauer has collaborated with scholars based in Germany and United States. Frequent co-authors include Klaus Pawelzik, Thomas Villmann, T. Geisel, Ralf Der, Wolfgang I. Schöllhorn, T. Villmann, Maximilian Riesenhuber, Peter König, Fred Wolf and Thomas B. Schillen. Their work appears in journals such as Network Computation in Neural Systems, Biological Cybernetics, Neural Computation, Physical Review A and Physica D Nonlinear Phenomena.
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.