Andreas Galka

1.4k citations
50 papers · 926 · h-index 16

Impact in

    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • Blind Source Separation Techniques

Papers in

    • EEG and Brain-Computer Interfaces 21
    • Neural dynamics and brain function 17
    • Functional Brain Connectivity Studies 16
    • Blind Source Separation Techniques 21

Andreas Galka

48 papers receiving 892 citations

Peers

Andreas Galka
Comparison fields: 5 of 93
  • Cognitive Neuroscience 553
  • Signal Processing 218
  • Statistical and Nonlinear Physics 115
  • Radiology, Nuclear Medicine and Imaging 142
  • Economics and Econometrics 138
Replace R. Biscay with:
R. Biscay Cuba
Lutz Leistritz Germany
M. Eiselt Germany
Wolfram Hesse Germany
Matthias Winterhalder Germany
Anahita Adeli United States
Vadim Grubov Russia
Lajos R. Kozák Hungary
Raúl Vicente Germany
Andreas Ziehe Germany
Andreas Galka relative to R. Biscay Cuba R. Biscay's profile →
Citations per field
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Citations per year

Countries citing papers authored by Andreas Galka

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Galka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andreas Galka, 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 Andreas Galka Line = papers co-authored together Andreas Galka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004112
2 2016104
3 200587
4 200073
5 201469
6 200457
7 200044
8 200634
9 200532
10 200832
11 199826
12 201026
13 201923
14 201015
15 201415
16 200415
17 200814
18 200613
19 201811
20 201311

About Andreas Galka

Andreas Galka is a scholar working on Cognitive Neuroscience, Signal Processing, Artificial Intelligence, Economics and Econometrics and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 926 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (21 papers), Blind Source Separation Techniques (21 papers), Neural dynamics and brain function (17 papers), Functional Brain Connectivity Studies (16 papers), Complex Systems and Time Series Analysis (9 papers), Neural Networks and Applications (6 papers), Fault Detection and Control Systems (6 papers) and Chaos control and synchronization (5 papers). The work is most often cited by research in Cognitive Neuroscience (553 citations), Signal Processing (218 citations), Statistical and Nonlinear Physics (115 citations), Radiology, Nuclear Medicine and Imaging (142 citations) and Economics and Econometrics (138 citations). Andreas Galka has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Tohru Ozaki, Ulrich Stephani, Okito Yamashita, R. Biscay, Pedro A. Valdés‐Sosa, Hiltrud Muhle, Ulrich Heute, Gerold Baier, Markus Müller and Jan Raethjen. Their work appears in journals such as Journal of Integrative Neuroscience, Physica D Nonlinear Phenomena, International Journal of Bifurcation and Chaos, Scientific Reports and Journal of Statistical 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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