Kai J. Miller

14.2k citations
186 papers · 9.1k indexed · 4 hit papers · h-index 45
Topics
EEG and Brain-Computer Interfaces (108 papers)Neural dynamics and brain function (73 papers)Neuroscience and Neural Engineering (58 papers)

In The Last Decade

Kai J. Miller

169 papers receiving 9.0k citations

Hit Papers

Review of the BCI Competition IV20072026201320192012200720092013250500750

Peers

Kai J. Miller
Comparison fields: 5 of 142
  • Cognitive Neuroscience 7.6k
  • Cellular and Molecular Neuroscience 4.1k
  • Neurology 1.2k
  • Biomedical Engineering 1.1k
  • Electrical and Electronic Engineering 1.0k
Replace Nathan E. Crone with:
Nathan E. Crone United States
José L. Contreras-Vidal United States
Leigh R. Hochberg United States
Tonio Ball Germany
Andrew B. Schwartz United States
Gerwin Schalk United States
Clemens Brunner Austria
Michael Scherg Germany
Reinhold Scherer Austria
Jochen Kaiser Germany
Kai J. Miller relative to Nathan E. Crone United States Nathan E. Crone's profile →
Citations per field
00.5×1.5×1.8×
Nathan E. Crone · 1×
Citations per year

Countries citing papers authored by Kai J. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Kai J. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai J. Miller. 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 Kai J. Miller. The network helps show where Kai J. Miller may publish in the future.

Co-authorship network of co-authors of Kai J. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Kai J. Miller. A scholar is included among the top collaborators of Kai J. Miller 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 Kai J. Miller. Kai J. Miller 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
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About Kai J. Miller

Kai J. Miller is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 186 papers that have together received 9.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (108 papers), Neural dynamics and brain function (73 papers) and Neuroscience and Neural Engineering (58 papers). The work is most often cited by research in Cognitive Neuroscience (7.6k citations), Cellular and Molecular Neuroscience (4.1k citations) and Human-Computer Interaction (493 citations). Kai J. Miller has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Jeffrey G. Ojemann, Rajesh P. N. Rao, Gerwin Schalk, Marcel den Nijs, Dora Hermes, Eric C. Leuthardt, Eberhard E. Fetz, Daniel W. Moran, Nicholas Anderson and L. B. Sorensen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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