Herbert Witte
- Cognitive Neuroscience top 0.5%
- EEG and Brain-Computer Interfaces 82
- Neural dynamics and brain function 68
- Functional Brain Connectivity Studies 40
- Computational Mathematics top 5%
- Signal Processing top 2%
- Blind Source Separation Techniques 21
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- Heart Rate Variability and Autonomic Control 23
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- Neural Networks and Applications 27
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- Control Systems and Identification 11
- Fault Detection and Control Systems 10
Herbert Witte
161 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Cognitive Neuroscience 2.6k
- Computational Mathematics 27
- Signal Processing 440
- Cardiology and Cardiovascular Medicine 500
- Cellular and Molecular Neuroscience 398
Countries citing papers authored by Herbert Witte
This map shows the geographic impact of Herbert Witte'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 Herbert Witte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Herbert Witte more than expected).
Fields of papers citing papers by Herbert Witte
This network shows the impact of papers produced by Herbert Witte. 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 Herbert Witte. The network helps show where Herbert Witte may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Herbert Witte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 20 | |
| 2 | 2013 | 81 | |
| 3 | 2012 | 5 | |
| 4 | 2010 | 4 | |
| 5 | 2009 | 16 | |
| 6 | ELECTROMYOGRAPHIC RESEARCHES OF GYAKU-ZUKIIN KARATE KUMITE | 2008 | 4 |
| 7 | 2008 | 140 | |
| 8 | 2007 | 28 | |
| 9 | 2006 | 13 | |
| 10 | 2004 | 19 | |
| 11 | 2003 | 27 | |
| 12 | 2002 | 13 | |
| 13 | 2001 | 36 | |
| 14 | 2001 | 104 | |
| 15 | 2001 | 33 | |
| 16 | Training Continuous Trajectories by Means of Dynamic Neural Networks with Time Dependent Weights. | 1998 | 4 |
| 17 | 1997 | 16 | |
| 18 | 1997 | 17 | |
| 19 | 1992 | 12 | |
| 20 | 1991 | 3 |
About Herbert Witte
Herbert Witte is a scholar working on Cognitive Neuroscience, Signal Processing and Computational Mathematics, having authored 167 papers that have together received 3.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (82 papers), Neural dynamics and brain function (68 papers), Functional Brain Connectivity Studies (40 papers), Neural Networks and Applications (27 papers), Heart Rate Variability and Autonomic Control (23 papers), Blind Source Separation Techniques (21 papers), Control Systems and Identification (11 papers) and Fault Detection and Control Systems (10 papers). The work is most often cited by research in Cognitive Neuroscience (2.6k citations), Computational Mathematics (27 citations) and Signal Processing (440 citations). Herbert Witte has collaborated with scholars based in Germany, Austria and France. Frequent co-authors include Matthias Arnold, Christoph Braun, Lutz Leistritz, Wolfgang H. R. Miltner, Edward Taub, M. Eiselt, Karin Schwab, Reinhard Bauer, Britta Pester and Karin Schiecke. Their work appears in journals such as Methods of Information in Medicine, IEEE Transactions on Biomedical Engineering, Clinical Neurophysiology, NeuroImage and Journal of Physiology-Paris.
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.