Gerold Baier

99 papers receiving 1.8k citations

Peers

Gerold Baier
Comparison fields: 5 of 129
  • Cognitive Neuroscience 1.0k
  • Statistical and Nonlinear Physics 558
  • Computer Networks and Communications 439
  • Cellular and Molecular Neuroscience 342
  • Molecular Biology 283
Replace Kwang‐Sup Soh with:
Kwang‐Sup Soh South Korea
Marc Goodfellow United Kingdom
Paul So United States
C. J. Pérez Vicente Spain
Bruce W. Knight United States
W.G. Gibson Australia
Alvin Shrier Canada
Gil Bub United Kingdom
Klaus Pawelzik Germany
Dmitry E. Postnov Russia
Gerold Baier relative to Kwang‐Sup Soh South Korea Kwang‐Sup Soh's profile →
Citations per field
00.5×6.8×
Kwang‐Sup Soh · 1×
Citations per year

Countries citing papers authored by Gerold Baier

Since Specialization
Citations

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

Fields of papers citing papers by Gerold Baier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerold Baier

This figure shows the co-authorship network connecting the top 25 collaborators of Gerold Baier. A scholar is included among the top collaborators of Gerold Baier 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 Gerold Baier. Gerold Baier 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 3
2 0
3 7
4 2
5 21
6 39
7 12
8 2
9
Kernel Regression Mapping for Vocal Eeg Sonification
13
10
MULTI-CHANNEL SONIFICATION OF HUMAN EEG
18
11
Sonified Epilectic Rhythms
3
12
Local induction of spatio-temporal chaos
1
13
USING SONIFICATION TO DETECT WEAK CROSS- CORRELATIONS IN COUPLED EXCITABLE SYSTEMS
7
14
THE SONIFICATION OF RHYTHMS IN HUMAN ELECTROENCEPHALOGRAM
27
15
Auditory feedback of human EEG for direct brain-computer communication
9
16
Polyrhythm in the Human Brain
6
17
Excitable chaos in diffusively coupled FitzHugh-Nagumo equations
6
18 152
19 24
20 5

About Gerold Baier

Gerold Baier is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 103 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (44 papers), Nonlinear Dynamics and Pattern Formation (37 papers) and EEG and Brain-Computer Interfaces (18 papers). The work is most often cited by research in Cognitive Neuroscience (1.0k citations), Statistical and Nonlinear Physics (558 citations) and Computer Networks and Communications (439 citations). Gerold Baier has collaborated with scholars based in Germany, United Kingdom and Mexico. Frequent co-authors include Marc Goodfellow, Peter N. Taylor, Markus Müller, Ulrich Stephani, Yujiang Wang, Kaspar Schindler, Thomas Hermann, Sven Sahle, Ursula Kummer and Christian Rummel. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters and The Journal of Chemical Physics.

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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