Sebastian Halder

6.6k citations
68 papers · 4.9k indexed · 2 hit papers · h-index 34
Topics
EEG and Brain-Computer Interfaces (63 papers)Neuroscience and Neural Engineering (43 papers)Neural dynamics and brain function (20 papers)

In The Last Decade

Sebastian Halder

62 papers receiving 4.8k citations

Hit Papers

Neurophysiological predictor of SMR-based BCI performance201020262015202020102015100200300400500

Peers

Sebastian Halder
Comparison fields: 5 of 109
  • Cognitive Neuroscience 4.5k
  • Cellular and Molecular Neuroscience 2.3k
  • Human-Computer Interaction 963
  • Electrical and Electronic Engineering 627
  • Biomedical Engineering 501
Replace Christoph Guger with:
Christoph Guger Austria
Femke Nijboer Netherlands
Eric W. Sellers United States
Brendan Z. Allison United States
Reinhold Scherer Austria
Boris Kotchoubey Germany
Ian Daly United Kingdom
Nicola Neumann Germany
Fabio Aloise Italy
Christian Kothe United States
Sebastian Halder relative to Christoph Guger Austria Christoph Guger's profile →
Citations per field
00.5×1.5×
Christoph Guger · 1×
Citations per year

Countries citing papers authored by Sebastian Halder

Since Specialization
Citations

This map shows the geographic impact of Sebastian Halder'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 Sebastian Halder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Halder more than expected).

Fields of papers citing papers by Sebastian Halder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sebastian Halder. 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 Sebastian Halder. The network helps show where Sebastian Halder may publish in the future.

Co-authorship network of co-authors of Sebastian Halder

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Halder. A scholar is included among the top collaborators of Sebastian Halder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sebastian Halder. Sebastian Halder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 14
3 12
4 0
5 11
6 36
7 40
8 70
9 41
10 23
11 14
12 88
13 136
14 68
15 213
16
Universal Menu Design for BCI Applications
1
17 107
18 196
19 226
20 468

About Sebastian Halder

Sebastian Halder is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Cellular and Molecular Neuroscience, having authored 68 papers that have together received 4.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (63 papers), Neuroscience and Neural Engineering (43 papers) and Neural dynamics and brain function (20 papers). The work is most often cited by research in Cognitive Neuroscience (4.5k citations), Human-Computer Interaction (963 citations) and Cellular and Molecular Neuroscience (2.3k citations). Sebastian Halder has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Andrea Kübler, Niels Birbaumer, Ivo Käthner, Femke Nijboer, Eva Maria Hammer, Sonja C. Kleih, Adrian Furdea, Carolin A. Ruf, Thorsten Dickhaus and Klaus‐Robert Müller. Their work appears in journals such as PLoS ONE, NeuroImage and Brain.

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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