H.-U. Bauer

1.2k citations

25 papers · 719 · h-index 13

Impact in

Artificial Intelligence top 5%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Visual perception and processing mechanisms

Papers in

Artificial Intelligence 16
- Neural Networks and Applications 16
Cognitive Neuroscience 14
- Neural dynamics and brain function 14
- Visual perception and processing mechanisms 5

Co-authors: Klaus Pawelzik (5 shared papers)Thomas Villmann (3 shared papers)T. Geisel (14 shared papers)Ralf Der (1 shared paper)Wolfgang I. Schöllhorn (2 shared papers)T. Villmann (1 shared paper)Maximilian Riesenhuber (3 shared papers)Fred Wolf (1 shared paper)
Journals: Network Computation in Neural Systems (4 papers)Neural Computation (3 papers)Biological Cybernetics (3 papers)Physics Letters A (1 paper)Physica D Nonlinear Phenomena (1 paper)
Partner nations: Germany United States

In The Last Decade

H.-U. Bauer

24 papers receiving 639 citations

Peers

Replace Neil Davey with:

Neil Davey United Kingdom

G. Barna Hungary

Ron Chrisley United Kingdom

Chaitanya Ekanadham United States

Ralf Der Germany

Lijuan Duan China

Spiros Fotopoulos Greece

Ed Erwin United States

Edward Rosenfeld United States

Edgar Körner Germany

H.-U. Bauer relative to Neil Davey United Kingdom Neil Davey's profile →

Citations per field

00.5×2×3.1×

Neil Davey · 1×

×2.3 401/174

AI

×1.1 220/195

CN

×1.6 185/114

CVPR

×2.5 94/38

SP

×3.1 55/18

SNP

Citations per year

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Countries citing papers authored by H.-U. Bauer

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with H.-U. Bauer Line = papers co-authored together H.-U. Bauer links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Quantifying the neighborhood preservation of self-organizing feature maps IEEE Transactions on Neural Networks ·H.-U. Bauer, Klaus Pawelzik	1992	203
2	Growing a hypercubical output space in a self-organizing feature map IEEE Transactions on Neural Networks ·H.-U. Bauer, Thomas Villmann	1997	80
3	Controlling the Magnification Factor of Self-Organizing Feature Maps Neural Computation ·H.-U. Bauer, Ralf Der	1996	67
4	Self-Organizing Maps for the Analysis of Complex Movement Patterns Neural Processing Letters ·H.-U. Bauer, Wolfgang I. Schöllhorn	1997	59
5	Neural maps and topographic vector quantization Neural Networks ·H.-U. Bauer, Michael Herrmann, Thomas Villmann	1999	53
6	Applications of the growing self-organizing map Neurocomputing ·T. Villmann, H.-U. Bauer	1998	39
7	Alternating oscillatory and stochastic dynamics in a model for a neuronal assembly Physica D Nonlinear Phenomena ·H.-U. Bauer, Klaus Pawelzik	1993	37
8	Alternating oscillatory and stochastic states in a network of spiking neurons Network Computation in Neural Systems ·J. Deppisch, H.-U. Bauer, Thomas B. Schillen, Peter König, Klaus Pawelzik, T. Geisel	1993	33
9	ESANN'1997 proceedings - European Symposium on Artificial Neural Networks Michael Herrmann, H.-U. Bauer, Thomas Villmann	1997	20
10	Formation of field discontinuities and islands in visual cortical maps Biological Cybernetics ·Fred Wolf, H.-U. Bauer, T. Geisel	1994	20
11	Hierarchical training of neural networks and prediction of chaotic time series Physics Letters A ·J. Deppisch, H.-U. Bauer, T. Geisel	1991	19
12	Development of Oriented Ocular Dominance Bands as a Consequence of Areal Geometry Neural Computation ·H.-U. Bauer	1995	16
13	Analysis of ocular dominance pattern formation in a high-dimensional self-organizing-map model Network Computation in Neural Systems ·H.-U. Bauer, D. Brockmann, T. Geisel	1997	14
14	Analyzing phase transitions in high-dimensional self-organizing maps Biological Cybernetics ·Maximilian Riesenhuber, H.-U. Bauer, T. Geisel	1996	11
15	Phase diagrams of self-organizing maps Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics ·H.-U. Bauer, Maximilian Riesenhuber, T. Geisel	1996	10
16	Breaking Rotational Symmetry in a Self-Organizing Map Model for Orientation Map Development Neural Computation ·Maximilian Riesenhuber, H.-U. Bauer, D. Brockmann, T. Geisel	1998	7
17	Nonlinear dynamics of feedback multilayer perceptrons Physical Review A ·H.-U. Bauer, T. Geisel	1990	6
18	Analysis of ocular dominance pattern formation in a high-dimensional self-organizing-map model Network Computation in Neural Systems ·H.-U. Bauer, D. Brockmann, T. Geisel	1997	6
19	Alternating oscillatory and stochastic states in a network of spiking neurons Network Computation in Neural Systems ·J. Deppisch, H.-U. Bauer, T Schillen, Peter König, Klaus Pawelzik, T. Geisel	1993	6
20	Formation of field discontinuities and islands in visual cortical maps Biological Cybernetics ·Friedrich Wolf, H.-U. Bauer, T. Geisel	1994	3

About H.-U. Bauer

H.-U. Bauer is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Signal Processing, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 25 papers that have together received 719 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), Nonlinear Dynamics and Pattern Formation (3 papers), stochastic dynamics and bifurcation (3 papers), Chaos control and synchronization (2 papers) and Stock Market Forecasting Methods (1 paper). The work is most often cited by research in Artificial Intelligence (401 citations), Cognitive Neuroscience (220 citations), Computer Vision and Pattern Recognition (185 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, Fred Wolf, Peter König and Thomas B. Schillen. Their work appears in journals such as Network Computation in Neural Systems, Neural Computation, Biological Cybernetics, Physics Letters 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.

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