H.-U. Bauer

1.2k total citations
25 papers, 715 citations indexed

About

H.-U. Bauer is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, H.-U. Bauer has authored 25 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Cognitive Neuroscience and 10 papers in Signal Processing. Recurrent topics in H.-U. Bauer's work include Neural Networks and Applications (16 papers), Neural dynamics and brain function (14 papers) and Blind Source Separation Techniques (8 papers). H.-U. Bauer is often cited by papers focused on Neural Networks and Applications (16 papers), Neural dynamics and brain function (14 papers) and Blind Source Separation Techniques (8 papers). H.-U. Bauer collaborates with scholars based in Germany and United States. H.-U. Bauer's 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 and has published in prestigious journals such as Physical Review A, Physics Letters A and Neural Computation.

In The Last Decade

H.-U. Bauer

24 papers receiving 636 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
H.-U. Bauer Germany	13	397	222	188	94	60	25	715
Ralf Der Germany	14	394 1.0×	251 1.1×	124 0.7×	52 0.6×	59 1.0×	59	798
G. Barna Hungary	8	275 0.7×	97 0.4×	116 0.6×	87 0.9×	33 0.6×	13	509
Ron Chrisley United Kingdom	13	522 1.3×	289 1.3×	221 1.2×	155 1.6×	32 0.5×	31	1.1k
M. Arndt Germany	4	242 0.6×	362 1.6×	355 1.9×	81 0.9×	17 0.3×	5	967
Ed Erwin United States	8	287 0.7×	351 1.6×	123 0.7×	57 0.6×	117 1.9×	12	662
Françoise Fogelman Soulié France	11	292 0.7×	84 0.4×	283 1.5×	102 1.1×	38 0.6×	22	663
S. Amari Japan	14	237 0.6×	141 0.6×	95 0.5×	367 3.9×	77 1.3×	28	719
David Balduzzi United States	11	705 1.8×	338 1.5×	438 2.3×	43 0.5×	60 1.0×	26	1.4k
Edward Rosenfeld United States	5	317 0.8×	105 0.5×	79 0.4×	37 0.4×	23 0.4×	7	630
Edgar Körner Germany	17	255 0.6×	296 1.3×	335 1.8×	244 2.6×	52 0.9×	45	876

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-authorship network of co-authors of H.-U. Bauer

This figure shows the co-authorship network connecting the top 25 collaborators of H.-U. Bauer. A scholar is included among the top collaborators of H.-U. Bauer 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 H.-U. Bauer. H.-U. Bauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bauer, H.-U.. (2002). Exploiting topography of neural maps: a case study on investment strategies for emerging markets. 2. 216–219. 1 indexed citations

Bauer, H.-U., et al.. (1999). Neural maps and topographic vector quantization. Neural Networks. 12(4-5). 659–676. 52 indexed citations

Villmann, T. & H.-U. Bauer. (1998). Applications of the growing self-organizing map. Neurocomputing. 21(1-3). 91–100. 39 indexed citations

Riesenhuber, Maximilian, et al.. (1998). Breaking Rotational Symmetry in a Self-Organizing Map Model for Orientation Map Development. Neural Computation. 10(3). 717–730. 7 indexed citations

Bauer, H.-U. & Thomas Villmann. (1997). Growing a hypercubical output space in a self-organizing feature map. IEEE Transactions on Neural Networks. 8(2). 218–226. 80 indexed citations

Schmid, O., Wolfgang I. Schöllhorn, & H.-U. Bauer. (1997). Gait pattern analysis using selforganizing neural networks. Gait & Posture. 6(3). 268–269. 1 indexed citations

Bauer, H.-U., et al.. (1997). Analysis of ocular dominance pattern formation in a high-dimensional self-organizing-map model. Network Computation in Neural Systems. 8(1). 17–33. 6 indexed citations

Bauer, H.-U., Maximilian Riesenhuber, & T. Geisel. (1996). Phase diagrams of self-organizing maps. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 54(3). 2807–2810. 10 indexed citations

Bauer, H.-U. & Ralf Der. (1996). Controlling the Magnification Factor of Self-Organizing Feature Maps. Neural Computation. 8(4). 757–771. 66 indexed citations

10.

Bauer, H.-U.. (1995). Development of Oriented Ocular Dominance Bands as a Consequence of Areal Geometry. Neural Computation. 7(1). 36–50. 16 indexed citations

11.

Wolf, Fred, H.-U. Bauer, & T. Geisel. (1994). Formation of field discontinuities and islands in visual cortical maps. Biological Cybernetics. 70(6). 525–531. 20 indexed citations

12.

Bauer, H.-U., et al.. (1994). Formation of field discontinuities and islands in visual cortical maps. Biological Cybernetics. 70(6). 525–531. 3 indexed citations

13.

Bauer, H.-U., et al.. (1993). Alternating oscillatory and stochastic states in a network of spiking neurons. Network Computation in Neural Systems. 4(3). 243–257. 6 indexed citations

14.

Bauer, H.-U., et al.. (1993). Alternating oscillatory and stochastic states in a network of spiking neurons. Network Computation in Neural Systems. 4(3). 243–257. 33 indexed citations

15.

Bauer, H.-U. & Klaus Pawelzik. (1993). Alternating oscillatory and stochastic dynamics in a model for a neuronal assembly. Physica D Nonlinear Phenomena. 69(3-4). 380–393. 37 indexed citations

16.

Bauer, H.-U. & Klaus Pawelzik. (1992). Quantifying the neighborhood preservation of self-organizing feature maps. IEEE Transactions on Neural Networks. 3(4). 570–579. 200 indexed citations

17.

Pawelzik, Klaus, et al.. (1992). How Oscillatory Neuronal Responses Reflect Bistability and Switching of the Hidden Assembly Dynamics. 5. 977–984. 2 indexed citations

18.

Bauer, H.-U., et al.. (1991). Hierarchical training of neural networks and prediction of chaotic time series. Physics Letters A. 158(1-2). 57–62. 19 indexed citations

19.

Bauer, H.-U. & T. Geisel. (1990). Dynamics of signal processing in feedback multilayer perceptrons. 131–136 vol.3. 3 indexed citations

20.

Bauer, H.-U. & T. Geisel. (1989). MOTION DETECTION AND DIRECTION DETECTION IN LOCAL NEURAL NETS. International Journal of Neural Systems. 1(2). 187–192. 3 indexed citations

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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