David Steyrl

990 citations
54 papers · 477 · h-index 14

Impact in

Papers in

    • EEG and Brain-Computer Interfaces 18
    • Functional Brain Connectivity Studies 14
    • Neural dynamics and brain function 9
    • Neural and Behavioral Psychology Studies 4

David Steyrl

47 papers receiving 475 citations

Peers

David Steyrl
Comparison fields: 5 of 91
  • Cognitive Neuroscience 327
  • Human-Computer Interaction 34
  • Cellular and Molecular Neuroscience 101
  • Experimental and Cognitive Psychology 50
  • Social Psychology 65
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Citations per field
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Citations per year

Countries citing papers authored by David Steyrl

Since Specialization
Citations

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

Fields of papers citing papers by David Steyrl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201673
2 202139
3 201435
4 201426
5 201723
6 201521
7 202120
8 202020
9 202319
10 201819
11 202118
12 202016
13 201615
14 201613
15 201812
16 201712
17 20219
18 20168
19 20237
20 20177

About David Steyrl

David Steyrl is a scholar working on Cognitive Neuroscience, Social Psychology, Experimental and Cognitive Psychology, Cellular and Molecular Neuroscience and Clinical Psychology, having authored 54 papers that have together received 477 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (9 papers), Neuroscience and Neural Engineering (7 papers), Advanced Memory and Neural Computing (6 papers), Infant Development and Preterm Care (4 papers), Advanced MRI Techniques and Applications (4 papers) and Neural and Behavioral Psychology Studies (4 papers). The work is most often cited by research in Cognitive Neuroscience (327 citations), Human-Computer Interaction (34 citations), Cellular and Molecular Neuroscience (101 citations), Experimental and Cognitive Psychology (50 citations) and Social Psychology (65 citations). David Steyrl has collaborated with scholars based in Austria, Switzerland and Germany. Frequent co-authors include Gernot Müller-Putz, Reinhold Scherer, Josef Faller, Karl Koschutnig, Selina C. Wriessnegger, Frank Scharnowski, Andrew A. Nicholson, Andreas Schwarz, Günther Bauernfeind and Clemens Brunner. Their work appears in journals such as Scientific Reports, Frontiers in Psychology, Neonatology, Journal of Neural Engineering and Brain and Cognition.

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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