B.-M. Mackert
- Signal Processing top 5%
- Blind Source Separation Techniques 3
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery 2
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 3
- EEG and Brain-Computer Interfaces 3
- Neurology top 10%
- Speech and Hearing top 10%
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- Atomic and Subatomic Physics Research 5
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- Electromagnetic Fields and Biological Effects 4
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- Advanced MRI Techniques and Applications 4
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- Muscle activation and electromyography studies 3
- Co-authors
- Gabriel CurioAndreas ZieheK. MüllerLutz TrahmsGuido NolteMatthias EndresSabine FitzekDarius G. Nabavi
- Journals
- IEEE Transactions on Biomedical Engineering (2 papers)Applied Superconductivity (2 papers)Physiological Measurement (2 papers)
- Partner nations
- GermanyAustraliaUnited Kingdom
In The Last Decade
B.-M. Mackert
20 papers receiving 506 citations
Peers
Comparison fields: 5 of 82
- Signal Processing 111
- Rehabilitation 68
- Cognitive Neuroscience 158
- Neurology 104
- Speech and Hearing 41
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2011 | 7 | |
| 3 | 2011 | 268 | |
| 4 | 2009 | 0 | |
| 5 | 2009 | 0 | |
| 6 | 2009 | 0 | |
| 7 | 2007 | 4 | |
| 8 | 2007 | 22 | |
| 9 | 2004 | 26 | |
| 10 | 2001 | 3 | |
| 11 | 2000 | 98 | |
| 12 | 2000 | 47 | |
| 13 | 2000 | 1 | |
| 14 | 1999 | 5 | |
| 15 | 1999 | 10 | |
| 16 | 1997 | 4 | |
| 17 | 1997 | 6 | |
| 18 | 1996 | 1 | |
| 19 | 1996 | 2 | |
| 20 | 1993 | 7 |
About B.-M. Mackert
B.-M. Mackert is a scholar working on Biophysics, Cognitive Neuroscience, Rehabilitation, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 526 indexed citations. Recurring topics across this work include Atomic and Subatomic Physics Research (5 papers), Electromagnetic Fields and Biological Effects (4 papers), Advanced MRI Techniques and Applications (4 papers), Neural dynamics and brain function (3 papers), Muscle activation and electromyography studies (3 papers), Blind Source Separation Techniques (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Stroke Rehabilitation and Recovery (2 papers). The work is most often cited by research in Signal Processing (111 citations), Rehabilitation (68 citations), Cognitive Neuroscience (158 citations), Neurology (104 citations) and Speech and Hearing (41 citations). B.-M. Mackert has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Gabriel Curio, Andreas Ziehe, K. Müller, Lutz Trahms, Guido Nolte, Matthias Endres, Sabine Fitzek, Darius G. Nabavi, M. von Brevern and Bettina Schmitz. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Applied Superconductivity, Physiological Measurement, Biomedizinische Technik/Biomedical Engineering and Applied Physics Letters.
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.