H.-U. Bauer

1.2k citations

34 papers · 940 · h-index 14

Impact in

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

Papers in

Cognitive Neuroscience 22
- Neural dynamics and brain function 21
- Visual perception and processing mechanisms 10
Artificial Intelligence 21
- Neural Networks and Applications 21

Co-authors: Klaus Pawelzik (9 shared papers)Thomas Villmann (3 shared papers)T. Geisel (21 shared papers)Ralf Der (2 shared papers)Wolfgang I. Schöllhorn (2 shared papers)T. Villmann (1 shared paper)Maximilian Riesenhuber (4 shared papers)Fred Wolf (3 shared papers)
Journals: Network Computation in Neural Systems (4 papers)Biological Cybernetics (3 papers)Neural Computation (3 papers)Neurocomputing (1 paper)Neural Networks (1 paper)
Partner nations: Germany United States Denmark

In The Last Decade

H.-U. Bauer

32 papers receiving 848 citations

Peers

Replace Neil Davey with:

Neil Davey United Kingdom

Ralf Der Germany

Chaitanya Ekanadham United States

Frank Wood United Kingdom

Ed Erwin United States

Edgar Körner Germany

G. Barna Hungary

Leonard Uhr United States

Françoise Fogelman Soulié France

Bernard Victorri France

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

Citations per field

00.5×1.5×2×2.3×

Neil Davey · 1×

×2.3 555/243

AI

×1.2 276/222

CN

×1.7 250/144

CVPR

×1.9 118/62

SP

×2.0 50/25

MT

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 12 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 34 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	277
2	Growing a hypercubical output space in a self-organizing feature map IEEE Transactions on Neural Networks ·H.-U. Bauer, Thomas Villmann	1997	108
3	Controlling the Magnification Factor of Self-Organizing Feature Maps Neural Computation ·H.-U. Bauer, Ralf Der	1996	79
4	Neural maps and topographic vector quantization Neural Networks ·H.-U. Bauer, Michael Herrmann, Thomas Villmann	1999	77
5	Self-Organizing Maps for the Analysis of Complex Movement Patterns Neural Processing Letters ·H.-U. Bauer, Wolfgang I. Schöllhorn	1997	61
6	Applications of the growing self-organizing map Neurocomputing ·T. Villmann, H.-U. Bauer	1998	45
7	Alternating oscillatory and stochastic dynamics in a model for a neuronal assembly Physica D Nonlinear Phenomena ·H.-U. Bauer, Klaus Pawelzik	1993	42
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	38
9	Formation of field discontinuities and islands in visual cortical maps Biological Cybernetics ·Fred Wolf, H.-U. Bauer, T. Geisel	1994	26
10	ESANN'1997 proceedings - European Symposium on Artificial Neural Networks Michael Herrmann, H.-U. Bauer, Thomas Villmann	1997	23
11	Development of Oriented Ocular Dominance Bands as a Consequence of Areal Geometry Neural Computation ·H.-U. Bauer	1995	20
12	Hierarchical training of neural networks and prediction of chaotic time series Physics Letters A ·J. Deppisch, H.-U. Bauer, T. Geisel	1991	19
13	The “Perceptual Magnet” Effect: A Model Based on Self-Organizing Feature Maps Workshops in computing ·Michael Herrmann, H.-U. Bauer, Ralf Der	1995	18
14	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	17
15	Analyzing phase transitions in high-dimensional self-organizing maps Biological Cybernetics ·Maximilian Riesenhuber, H.-U. Bauer, T. Geisel	1996	13
16	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
17	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	10
18	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	8
19	A Cortical Interpretation of ASSOMs Perspectives in neural computing ·N. Michael Mayer, Michael Herrmann, H.-U. Bauer, T. Geisel	1998	7
20	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	7

About H.-U. Bauer

H.-U. Bauer is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 34 papers that have together received 940 indexed citations. Recurring topics across this work include Neural dynamics and brain function (21 papers), Neural Networks and Applications (21 papers), Visual perception and processing mechanisms (10 papers), Blind Source Separation Techniques (9 papers), Nonlinear Dynamics and Pattern Formation (4 papers), stochastic dynamics and bifurcation (4 papers), Chaos control and synchronization (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Artificial Intelligence (555 citations), Cognitive Neuroscience (276 citations), Computer Vision and Pattern Recognition (250 citations), Signal Processing (118 citations) and Media Technology (50 citations). H.-U. Bauer has collaborated with scholars based in Germany, United States and Denmark. 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, Biological Cybernetics, Neural Computation, Neurocomputing and Neural Networks.

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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