B. Graimann

2.9k citations
22 papers · 2.4k · h-index 15

Impact in

Papers in

B. Graimann

22 papers receiving 2.3k citations

Peers

B. Graimann
Comparison fields: 5 of 68
  • Cognitive Neuroscience 2.2k
  • Cellular and Molecular Neuroscience 1.2k
  • Human-Computer Interaction 338
  • Signal Processing 379
  • Computational Mathematics 6
Replace R. Leeb with:
R. Leeb Switzerland
Claudia Keinrath Austria
Laurent Bougrain France
Doris Flotzinger Austria
Stephan Waldert Germany
Gert Pfurtscheller Austria
Gernot Müller Austria
Bernhard Graimann Germany
Jürgen Mellinger Germany
Tianyou Yu China
B. Graimann relative to R. Leeb Switzerland R. Leeb's profile →
Citations per field
00.5×1.5×
R. Leeb · 1×
Citations per year

Countries citing papers authored by B. Graimann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with B. Graimann Line = papers co-authored together B. Graimann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003381
2 2004284
3 2002270
4 2006257
5 2003238
6 2004228
7 2006139
8 2006136
9 2004104
10 201280
11 200679
12 200763
13 200348
14 201235
15 201830
16 200415
17 200314
18 200411
19 201611
20 20049

About B. Graimann

B. Graimann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Signal Processing, Biomedical Engineering and Anesthesiology and Pain Medicine, having authored 22 papers that have together received 2.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), Neuroscience and Neural Engineering (13 papers), Neural dynamics and brain function (13 papers), Muscle activation and electromyography studies (4 papers), Blind Source Separation Techniques (3 papers), Advanced Memory and Neural Computing (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Pain Management and Treatment (1 paper). The work is most often cited by research in Cognitive Neuroscience (2.2k citations), Cellular and Molecular Neuroscience (1.2k citations), Human-Computer Interaction (338 citations), Signal Processing (379 citations) and Computational Mathematics (6 citations). B. Graimann has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Gert Pfurtscheller, Jane E. Huggins, Simon P. Levine, Gert 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 Biosystems & biorobotics.

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.

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