Stefan K. Ehrlich

617 citations
33 papers · 427 · h-index 10

Impact in

    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Neuroscience and Music Perception
    • Gaze Tracking and Assistive Technology

Papers in

    • EEG and Brain-Computer Interfaces 18
    • Neural dynamics and brain function 10
    • Neural and Behavioral Psychology Studies 5
    • Neuroscience and Music Perception 4
    • Functional Brain Connectivity Studies 2
    • Neuroscience and Neural Engineering 5

Stefan K. Ehrlich

31 papers receiving 412 citations

Peers

Stefan K. Ehrlich
Comparison fields: 5 of 80
  • Cognitive Neuroscience 287
  • Human-Computer Interaction 55
  • Cellular and Molecular Neuroscience 73
  • Music 13
  • Social Psychology 56
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Citations per field
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Citations per year

Countries citing papers authored by Stefan K. Ehrlich

Since Specialization
Citations

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

Fields of papers citing papers by Stefan K. Ehrlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan K. Ehrlich. 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 Stefan K. Ehrlich. The network helps show where Stefan K. Ehrlich may publish in the future.

Co-authors

The 25 scholars most cited alongside Stefan K. Ehrlich, 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 Stefan K. Ehrlich Line = papers co-authored together Stefan K. Ehrlich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201867
2 201963
3 201844
4 202043
5 201730
6 201619
7 201416
8 196615
9 201712
10 196712
11 20238
12 20208
13 20157
14 20227
15 20196
16 20176
17 20236
18 20236
19 20196
20 19626

About Stefan K. Ehrlich

Stefan K. Ehrlich is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Human-Computer Interaction, Rehabilitation and Signal Processing, having authored 33 papers that have together received 427 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Neural dynamics and brain function (10 papers), Neural and Behavioral Psychology Studies (5 papers), Neuroscience and Neural Engineering (5 papers), Neuroscience and Music Perception (4 papers), Gaze Tracking and Assistive Technology (2 papers), Functional Brain Connectivity Studies (2 papers) and Stroke Rehabilitation and Recovery (2 papers). The work is most often cited by research in Cognitive Neuroscience (287 citations), Human-Computer Interaction (55 citations), Cellular and Molecular Neuroscience (73 citations), Music (13 citations) and Social Psychology (56 citations). Stefan K. Ehrlich has collaborated with scholars based in Germany, United States and Singapore. Frequent co-authors include Gordon Cheng, Cuntai Guan, Kat Rose Agres, Miguel A. L. Nicolelis, Mikhail Lebedev, Ana Alves-Pinto, Varvara L. Turova, Karinne Ramírez-Amaro, Agnieszka Wykowska and Kristina R. Simonyan. Their work appears in journals such as Hydrobiologia, Movement Disorders, PLoS ONE, Brain Research and Journal of Neural Engineering.

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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