Benjamin Gagl

941 citations
24 papers · 550 · h-index 13

Impact in

Papers in

    • Neurobiology of Language and Bilingualism 9
    • Neural and Behavioral Psychology Studies 5
    • Visual perception and processing mechanisms 5
    • EEG and Brain-Computer Interfaces 3
    • Neural dynamics and brain function 2
    • Tactile and Sensory Interactions 2
    • Reading and Literacy Development 14

Benjamin Gagl

22 papers receiving 534 citations

Peers

Benjamin Gagl
Comparison fields: 5 of 58
  • Developmental and Educational Psychology 327
  • Cognitive Neuroscience 359
  • Human-Computer Interaction 65
  • General Decision Sciences 19
  • Statistics and Probability 76
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin Gagl

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Gagl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010145
2 201190
3 201342
4 201340
5 201530
6 201327
7 201527
8 202023
9 201722
10 201418
11 201217
12 202116
13 201312
14 201610
15 20198
16 20228
17 20236
18 20215
19 20241
20
Speechless Reader Model: A neurocognitive model for human reading reveals cognitive underpinnings of baboon lexical decision behavior.
20211

About Benjamin Gagl

Benjamin Gagl is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Artificial Intelligence, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 24 papers that have together received 550 indexed citations. Recurring topics across this work include Reading and Literacy Development (14 papers), Neurobiology of Language and Bilingualism (9 papers), Neural and Behavioral Psychology Studies (5 papers), Visual perception and processing mechanisms (5 papers), Text Readability and Simplification (4 papers), EEG and Brain-Computer Interfaces (3 papers), Neural dynamics and brain function (2 papers) and Tactile and Sensory Interactions (2 papers). The work is most often cited by research in Developmental and Educational Psychology (327 citations), Cognitive Neuroscience (359 citations), Human-Computer Interaction (65 citations), General Decision Sciences (19 citations) and Statistics and Probability (76 citations). Benjamin Gagl has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Stefan Hawelka, Florian Hutzler, Heinz Wimmer, Sarah Schuster, Fabio Richlan, Mario Braun, Christian J. Fiebach, Jona Sassenhagen, Michael Schulte‐Mecklenbeck and Isabella Fuchs. Their work appears in journals such as Frontiers in Systems Neuroscience, eNeuro, npj Science of Learning, Journal of Vision and PeerJ.

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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