M. Schiek

762 citations
46 papers · 447 indexed · h-index 11

Impact in

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

Papers in

M. Schiek

44 papers receiving 439 citations

Peers

M. Schiek
Comparison fields: 5 of 89
  • Cognitive Neuroscience 152
  • Signal Processing 48
  • Cardiology and Cardiovascular Medicine 79
  • Health Informatics 4
  • Condensed Matter Physics 33
Replace Y. Uchikawa with:
Y. Uchikawa Japan
Hartmut Brauer Germany
Antonio Espósito Italy
Xiefeng Cheng China
Yung-Hung Wang Taiwan
M. López Spain
H. Prance United Kingdom
Emmanuel Perrin France
V. V. Makarov Russia
Thomas Schanze Germany
M. Schiek relative to Y. Uchikawa Japan Y. Uchikawa's profile →
Citations per field
00.5×1.5×2.3×
Y. Uchikawa · 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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200875
2 201342
3 201242
4 200332
5 201531
6 201528
7 201326
8 199822
9 201019
10 201211
11 199711
12 202010
13 20198
14 20068
15 20228
16 20226
17 20185
18 20035
19 20145
20 20144

About M. Schiek

M. Schiek is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine, Computer Networks and Communications and Computational Mechanics, having authored 46 papers that have together received 447 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (9 papers), Neural dynamics and brain function (7 papers), Fluid Dynamics and Turbulent Flows (6 papers), EEG and Brain-Computer Interfaces (6 papers), Advanced Memory and Neural Computing (6 papers), Non-Invasive Vital Sign Monitoring (4 papers), ECG Monitoring and Analysis (4 papers) and Meteorological Phenomena and Simulations (3 papers). The work is most often cited by research in Cognitive Neuroscience (152 citations), Signal Processing (48 citations), Cardiology and Cardiovascular Medicine (79 citations), Health Informatics (4 citations) and Condensed Matter Physics (33 citations). M. Schiek has collaborated with scholars based in Germany, Japan and Switzerland. Frequent co-authors include Jürgen Dammers, Stefan van Waasen, U. Pietrzyk, Frank Boers, Klaus Mathiak, Mikhail Zvyagintsev, Yu Yao, Steffen Leonhardt, Friedel Drepper and Guanghao Sun. Their work appears in journals such as Frontiers in Neuroscience, IEEE Transactions on Applied Superconductivity, IEEE Transactions on Biomedical Engineering, Journal of Interventional Cardiac Electrophysiology and Materials and Corrosion.

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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