Beate Meffert
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Signal Processing top 10%
- Blind Source Separation Techniques
Papers in
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- Image and Signal Denoising Methods 3
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- EEG and Brain-Computer Interfaces 6
- Co-authors
- Thea Radüntz (6 shared papers)Mohammed A.‐M. Salem (4 shared papers)H Meffert (9 shared papers)Frank Winkler (4 shared papers)Nivin A. Ghamry (1 shared paper)Norbert Fürstenau (2 shared papers)Thorsten Mühlhausen (2 shared papers)T. W. Barrett (2 shared papers)
- Journals
- Frontiers in Physiology (1 paper)Journal of Neural Engineering (1 paper)IEEE Transactions on Human-Machine Systems (1 paper)The Lancet (1 paper)Clinical and Experimental Dermatology (1 paper)
- Partner nations
- GermanyUnited StatesEgypt
In The Last Decade
Beate Meffert
34 papers receiving 353 citations
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 207
- Signal Processing 78
- Human-Computer Interaction 29
- Computer Vision and Pattern Recognition 50
- Cellular and Molecular Neuroscience 34
Countries citing papers authored by Beate Meffert
This map shows the geographic impact of Beate Meffert'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 Beate Meffert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beate Meffert more than expected).
Fields of papers citing papers by Beate Meffert
This network shows the impact of papers produced by Beate Meffert. 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 Beate Meffert. The network helps show where Beate Meffert may publish in the future.
Co-authors
The 20 scholars most cited alongside Beate Meffert, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 105 | |
| 2 | 2015 | 96 | |
| 3 | 2019 | 33 | |
| 4 | 2009 | 16 | |
| 5 | 2009 | 14 | |
| 6 | 2005 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2020 | 12 | |
| 9 | 2008 | 9 | |
| 10 | 2018 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2000 | 4 | |
| 13 | 1987 | 4 | |
| 14 | 2009 | 4 | |
| 15 | 1972 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 1972 | 3 | |
| 18 | 2001 | 3 | |
| 19 | 2016 | 2 | |
| 20 | 2001 | 2 |
About Beate Meffert
Beate Meffert is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Control and Systems Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 40 papers that have together received 370 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), Advanced Control Systems Optimization (4 papers), Blind Source Separation Techniques (3 papers), Image and Signal Denoising Methods (3 papers), Advanced Optical Sensing Technologies (3 papers), Robotics and Sensor-Based Localization (2 papers), Advanced Image Fusion Techniques (2 papers) and Network Time Synchronization Technologies (2 papers). The work is most often cited by research in Cognitive Neuroscience (207 citations), Signal Processing (78 citations), Human-Computer Interaction (29 citations), Computer Vision and Pattern Recognition (50 citations) and Cellular and Molecular Neuroscience (34 citations). Beate Meffert has collaborated with scholars based in Germany, United States and Egypt. Frequent co-authors include Thea Radüntz, Mohammed A.‐M. Salem, H Meffert, Frank Winkler, Nivin A. Ghamry, Norbert Fürstenau, Thorsten Mühlhausen, T. W. Barrett, Henning F. Harmuth and John Foerster. Their work appears in journals such as Frontiers in Physiology, Journal of Neural Engineering, IEEE Transactions on Human-Machine Systems, The Lancet and Clinical and Experimental Dermatology.
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.