Klaus Pawelzik

4.2k citations
93 papers · 2.7k indexed · 1 hit paper · h-index 23
Topics
Neural dynamics and brain function (53 papers)Advanced Memory and Neural Computing (20 papers)Visual perception and processing mechanisms (15 papers)

In The Last Decade

Klaus Pawelzik

89 papers receiving 2.6k citations

Hit Papers

Neural Networks with Dynamic Synapses19982026200720161998200400600

Peers

Klaus Pawelzik
Comparison fields: 5 of 131
  • Cognitive Neuroscience 1.7k
  • Cellular and Molecular Neuroscience 803
  • Statistical and Nonlinear Physics 790
  • Computer Networks and Communications 574
  • Artificial Intelligence 556
Replace Néstor Parga with:
Néstor Parga Spain
Shigeru Shinomoto Japan
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Joshua T Vogelstein United States
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Citations per field
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Citations per year

Countries citing papers authored by Klaus Pawelzik

Since Specialization
Citations

This map shows the geographic impact of Klaus Pawelzik'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 Pawelzik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Pawelzik more than expected).

Fields of papers citing papers by Klaus Pawelzik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klaus Pawelzik. 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 Pawelzik. The network helps show where Klaus Pawelzik may publish in the future.

Co-authorship network of co-authors of Klaus Pawelzik

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 11
2 36
3 13
4 1
5
Perfect Associative Learning with Spike-Timing-Dependent Plasticity
7
6 9
7 1
8 16
9
Spike timing-dependent plasticity as dynamic filter
1
10 83
11
Robotics and Biomimetics, 2004. ROBIO 2004. IEEE International Conference on
7
12
Binary Tuning is Optimal for Neural Rate Coding with High Temporal Resolution
0
13
A stochastic model for the estimation of perceptual switching events in pigeons
2
14
Hidden Markov mixtures of experts with an application to EEG recordings from sleep
16
15
Analysis of Drifting Dynamics with Neural Network Hidden Markov Models
3
16
Segmentation and identification of drifting dynamical systems
2
17
Orientation Contrast Sensitivity from Long-range Interactions in Visual Cortex
2
18
Analysis of switching dynamics with competing neural networks
26
19
Segmentation and Identification of Switching Dynamics with Competing Neural Networks
2
20
A Topographic Product for the Optimization of Self-Organizing Feature Maps
9

About Klaus Pawelzik

Klaus Pawelzik is a scholar working on Cognitive Neuroscience, Developmental Biology and Cellular and Molecular Neuroscience, having authored 93 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (53 papers), Advanced Memory and Neural Computing (20 papers) and Visual perception and processing mechanisms (15 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Statistical and Nonlinear Physics (790 citations) and Cellular and Molecular Neuroscience (803 citations). Klaus Pawelzik has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Misha Tsodyks, Henry Markram, Udo Ernst, T. Geisel, H.-U. Bauer, Heinz Georg Schuster, David Rotermund, Matthias Bethge, H. G. Schuster and Wolfgang Liebert. Their work appears in journals such as Physical Review Letters, Journal of Neuroscience and Nature Neuroscience.

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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