B. Graimann
Impact in
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
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- Neuroscience and Neural Engineering
Papers in
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- EEG and Brain-Computer Interfaces 17
- Neural dynamics and brain function 14
- Functional Brain Connectivity Studies 2
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- Neuroscience and Neural Engineering 11
- Co-authors
- G. Pfurtscheller (12 shared papers)S.P. Levine (8 shared papers)Jane E. Huggins (8 shared papers)G. Pfurtscheller (4 shared papers)Reinhold Scherer (5 shared papers)George Townsend (3 shared papers)Christa Neuper (3 shared papers)L.A. Schuh (2 shared papers)
- Journals
- IEEE Transactions on Biomedical Engineering (5 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (4 papers)Clinical Neurophysiology (2 papers)Journal of Neural Engineering (2 papers)Medical & Biological Engineering & Computing (1 paper)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
B. Graimann
19 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 2.0k
- Cellular and Molecular Neuroscience 1.1k
- Human-Computer Interaction 304
- Signal Processing 361
- Computational Mathematics 5
Countries citing papers authored by B. Graimann
This map shows the geographic impact of B. Graimann'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. Graimann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Graimann more than expected).
Fields of papers citing papers by B. Graimann
This network shows the impact of papers produced by B. Graimann. 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. Graimann. The network helps show where B. Graimann may publish in the future.
Co-authors
The 25 scholars most cited alongside B. Graimann, 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 | 2003 | 352 | |
| 2 | 2002 | 251 | |
| 3 | 2004 | 251 | |
| 4 | 2006 | 222 | |
| 5 | 2003 | 208 | |
| 6 | 2004 | 191 | |
| 7 | 2006 | 125 | |
| 8 | 2006 | 118 | |
| 9 | 2004 | 93 | |
| 10 | 2012 | 74 | |
| 11 | 2006 | 70 | |
| 12 | 2007 | 59 | |
| 13 | 2003 | 41 | |
| 14 | 2012 | 33 | |
| 15 | 2018 | 27 | |
| 16 | 2004 | 14 | |
| 17 | 2003 | 11 | |
| 18 | 2004 | 8 | |
| 19 | 2004 | 7 |
About B. Graimann
B. Graimann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Signal Processing, Electrical and Electronic Engineering and Biomedical Engineering, having authored 19 papers that have together received 2.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (17 papers), Neural dynamics and brain function (14 papers), Neuroscience and Neural Engineering (11 papers), Blind Source Separation Techniques (3 papers), Advanced Memory and Neural Computing (3 papers), Muscle activation and electromyography studies (2 papers), Functional Brain Connectivity Studies (2 papers) and Gaze Tracking and Assistive Technology (1 paper). The work is most often cited by research in Cognitive Neuroscience (2.0k citations), Cellular and Molecular Neuroscience (1.1k citations), Human-Computer Interaction (304 citations), Signal Processing (361 citations) and Computational Mathematics (5 citations). B. Graimann has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include G. Pfurtscheller, S.P. Levine, Jane E. Huggins, G. Pfurtscheller, Reinhold Scherer, George Townsend, Christa Neuper, L.A. Schuh, Gernot Müller and R. Leeb. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Clinical Neurophysiology, Journal of Neural Engineering and Medical & Biological Engineering & Computing.
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.