Christian Klaes

1.8k citations
27 papers · 1.1k indexed · 1 hit paper · h-index 14
Topics
EEG and Brain-Computer Interfaces (16 papers)Neural dynamics and brain function (10 papers)Neuroscience and Neural Engineering (9 papers)

In The Last Decade

Christian Klaes

23 papers receiving 1.1k citations

Hit Papers

Decoding motor imagery from the posterior parietal cortex...20152026201820222015100200300

Peers

Christian Klaes
Comparison fields: 5 of 82
  • Cognitive Neuroscience 970
  • Cellular and Molecular Neuroscience 491
  • Biomedical Engineering 215
  • Social Psychology 135
  • Electrical and Electronic Engineering 134
Replace Tiejun Liu with:
Tiejun Liu China
Alejandro Ojeda United States
Afsheen Afshar United States
Carolin A. Ruf Germany
Kelsie Pejsa United States
Matthew J. Nelson United States
Dennis Tkach United States
Günter Edlinger Austria
Reiner Emkes Germany
Gopala K. Anumanchipalli United States
Christian Klaes relative to Tiejun Liu China Tiejun Liu's profile →
Citations per field
00.5×3.1×
Tiejun Liu · 1×
Citations per year

Countries citing papers authored by Christian Klaes

Since Specialization
Citations

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

Fields of papers citing papers by Christian Klaes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Klaes

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Klaes. A scholar is included among the top collaborators of Christian Klaes 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 Christian Klaes. Christian Klaes 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 0
2 0
3 2
4 0
5 0
6 2
7 1
8 28
9 2
10 27
11 18
12 2
13 56
14
Decoding motor imagery from the posterior parietal cortex of a tetraplegic humanbreakdown →
387
15 58
16 66
17 22
18 119
19 45
20 67

About Christian Klaes

Christian Klaes is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), Neural dynamics and brain function (10 papers) and Neuroscience and Neural Engineering (9 papers). The work is most often cited by research in Cognitive Neuroscience (970 citations), Cellular and Molecular Neuroscience (491 citations) and Human-Computer Interaction (68 citations). Christian Klaes has collaborated with scholars based in Germany, United States and Portugal. Frequent co-authors include Spencer Kellis, Alexander Gail, Stephanie Westendorff, Richard A. Andersen, Tyson Aflalo, Charles Y. Liu, Ying Shi, Brian Lee, Christi Heck and Kelsie Pejsa. Their work appears in journals such as Science, Neuron and Journal of Neuroscience.

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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