M. Schiek

770 citations
54 papers · 632 · h-index 12

Impact in

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

Papers in

M. Schiek

52 papers receiving 613 citations

Peers

M. Schiek
Comparison fields: 5 of 106
  • Cognitive Neuroscience 177
  • Signal Processing 63
  • Physical Therapy, Sports Therapy and Rehabilitation 23
  • Cardiology and Cardiovascular Medicine 92
  • Biomedical Engineering 167
Replace J. Terrien with:
J. Terrien France
Jeong‐Whan Lee South Korea
Donald Y.C. Lie United States
Vladimír Kulish Singapore
M. López Spain
R. Dilmaghani United Kingdom
S.W. Nam South Korea
Dmytro Iatsenko United Kingdom
Udo Meyerfeldt Germany
Samo Beguš Slovenia
M. Schiek relative to J. Terrien France J. Terrien's profile →
Citations per field
00.5×1.5×
J. Terrien · 1×
Citations per year

Countries citing papers authored by M. Schiek

Since Specialization
Citations

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

Fields of papers citing papers by M. Schiek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007109
2 200879
3 201249
4 201344
5 201533
6 200332
7 201530
8 201328
9 199825
10 201021
11 201215
12 199714
13 202010
14 20199
15 20069
16 20119
17 20228
18 19988
19 20226
20 20086

About M. Schiek

M. Schiek is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Computer Networks and Communications, having authored 54 papers that have together received 632 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (10 papers), EEG and Brain-Computer Interfaces (8 papers), Neural dynamics and brain function (8 papers), Fluid Dynamics and Turbulent Flows (6 papers), Advanced Memory and Neural Computing (5 papers), Blind Source Separation Techniques (5 papers), Non-Invasive Vital Sign Monitoring (5 papers) and ECG Monitoring and Analysis (4 papers). The work is most often cited by research in Cognitive Neuroscience (177 citations), Signal Processing (63 citations), Physical Therapy, Sports Therapy and Rehabilitation (23 citations), Cardiology and Cardiovascular Medicine (92 citations) and Biomedical Engineering (167 citations). M. Schiek has collaborated with scholars based in Germany, Japan and Switzerland. Frequent co-authors include Steffen Leonhardt, A. Schnitzer, Ying Hong, Jürgen Dammers, Stefan van Waasen, U. Pietrzyk, Frank Boers, Mikhail Zvyagintsev, Yu Yao and Klaus Mathiak. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Applied Superconductivity, Frontiers in Neuroscience, Chaos An Interdisciplinary Journal of Nonlinear Science and Nonlinear Analysis.

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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