Karin Schiecke
Impact in
- Computational Mathematics top 10%
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Papers in
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- EEG and Brain-Computer Interfaces 15
- Functional Brain Connectivity Studies 10
- Neural dynamics and brain function 8
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- Heart Rate Variability and Autonomic Control 7
- Cardiac electrophysiology and arrhythmias 2
- Co-authors
- Herbert Witte (19 shared papers)Britta Pester (9 shared papers)Martha Feucht (13 shared papers)Franz Benninger (10 shared papers)Lutz Leistritz (13 shared papers)Heiko K. Strüder (1 shared paper)Andreas Mierau (1 shared paper)Thorben Hülsdünker (1 shared paper)
In The Last Decade
Karin Schiecke
27 papers receiving 411 citations
Peers
Comparison fields: 5 of 66
- Computational Mathematics 15
- Cognitive Neuroscience 254
- Physical Therapy, Sports Therapy and Rehabilitation 32
- Cardiology and Cardiovascular Medicine 116
- Signal Processing 35
Countries citing papers authored by Karin Schiecke
This map shows the geographic impact of Karin Schiecke'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 Karin Schiecke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Schiecke more than expected).
Fields of papers citing papers by Karin Schiecke
This network shows the impact of papers produced by Karin Schiecke. 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 Karin Schiecke. The network helps show where Karin Schiecke may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin Schiecke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 74 | |
| 2 | 2019 | 37 | |
| 3 | 2013 | 36 | |
| 4 | 2016 | 34 | |
| 5 | 2014 | 33 | |
| 6 | 2014 | 30 | |
| 7 | 2016 | 22 | |
| 8 | 2015 | 21 | |
| 9 | 2015 | 20 | |
| 10 | 2022 | 15 | |
| 11 | 2015 | 15 | |
| 12 | 2015 | 15 | |
| 13 | 2014 | 10 | |
| 14 | 2015 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2017 | 9 | |
| 17 | 2014 | 6 | |
| 18 | 2012 | 5 | |
| 19 | 2014 | 3 | |
| 20 | 2024 | 3 |
About Karin Schiecke
Karin Schiecke is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Signal Processing, Computational Mathematics and Behavioral Neuroscience, having authored 27 papers that have together received 418 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), Functional Brain Connectivity Studies (10 papers), Neural dynamics and brain function (8 papers), Heart Rate Variability and Autonomic Control (7 papers), Blind Source Separation Techniques (6 papers), Cardiac electrophysiology and arrhythmias (2 papers), Tensor decomposition and applications (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Computational Mathematics (15 citations), Cognitive Neuroscience (254 citations), Physical Therapy, Sports Therapy and Rehabilitation (32 citations), Cardiology and Cardiovascular Medicine (116 citations) and Signal Processing (35 citations). Karin Schiecke has collaborated with scholars based in Germany, Austria and Romania. Frequent co-authors include Herbert Witte, Britta Pester, Martha Feucht, Franz Benninger, Lutz Leistritz, Heiko K. Strüder, Andreas Mierau, Thorben Hülsdünker, Laura Astolfi and Peter Schlattmann. Their work appears in journals such as Methods of Information in Medicine, IEEE Transactions on Biomedical Engineering, Acta Obstetricia Et Gynecologica Scandinavica, Frontiers in Human Neuroscience and Physiological Measurement.
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.