B.-M. Mackert
Impact in
- Signal Processing top 5%
- Blind Source Separation Techniques
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
Papers in
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- Neural dynamics and brain function 3
- EEG and Brain-Computer Interfaces 3
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- Atomic and Subatomic Physics Research 5
- Co-authors
- Gabriel Curio (17 shared papers)K. Müller (2 shared papers)Andreas Ziehe (2 shared papers)Lutz Trahms (13 shared papers)Guido Nolte (1 shared paper)Frank A. Hamilton (1 shared paper)Bettina Schmitz (2 shared papers)Christian H. Nolte (1 shared paper)
In The Last Decade
B.-M. Mackert
20 papers receiving 509 citations
Peers
Comparison fields: 5 of 75
- Signal Processing 109
- Cognitive Neuroscience 147
- Speech and Hearing 26
- Rehabilitation 26
- Neurology 31
Countries citing papers authored by B.-M. Mackert
This map shows the geographic impact of B.-M. Mackert'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 B.-M. Mackert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B.-M. Mackert more than expected).
Fields of papers citing papers by B.-M. Mackert
This network shows the impact of papers produced by B.-M. Mackert. 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 B.-M. Mackert. The network helps show where B.-M. Mackert may publish in the future.
Co-authors
The 25 scholars most cited alongside B.-M. Mackert, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 271 | |
| 2 | 2000 | 98 | |
| 3 | 2000 | 47 | |
| 4 | 2004 | 26 | |
| 5 | 2007 | 22 | |
| 6 | 1999 | 10 | |
| 7 | [Bridging of peripheral nerve defects with lyophilised and disantigenised homologous grafts]. | 1970 | 9 |
| 8 | 2011 | 7 | |
| 9 | 1993 | 7 | |
| 10 | 1997 | 6 | |
| 11 | 1999 | 5 | |
| 12 | 2007 | 4 | |
| 13 | 1994 | 4 | |
| 14 | 1997 | 4 | |
| 15 | 2001 | 3 | |
| 16 | 1996 | 2 | |
| 17 | 1996 | 1 | |
| 18 | 2000 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 1996 | 1 |
About B.-M. Mackert
B.-M. Mackert is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 23 papers that have together received 529 indexed citations. Recurring topics across this work include Atomic and Subatomic Physics Research (5 papers), Advanced MRI Techniques and Applications (4 papers), Electromagnetic Fields and Biological Effects (4 papers), Blind Source Separation Techniques (3 papers), Muscle activation and electromyography studies (3 papers), Neural dynamics and brain function (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Signal Processing (109 citations), Cognitive Neuroscience (147 citations), Speech and Hearing (26 citations), Rehabilitation (26 citations) and Neurology (31 citations). B.-M. Mackert has collaborated with scholars based in Germany, Australia and Poland. Frequent co-authors include Gabriel Curio, K. Müller, Andreas Ziehe, Lutz Trahms, Guido Nolte, Frank A. Hamilton, Bettina Schmitz, Christian H. Nolte, Peter U. Heuschmann and G. Walter. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Physiological Measurement, Applied Superconductivity, Biomedizinische Technik/Biomedical Engineering and Neurology.
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.