Gudrun Schwarzer

3.8k citations
147 papers · 2.4k · h-index 25

Impact in

  • Music top 0.2%
    • Diverse Music Education Insights
    • Face Recognition and Perception
    • Neuroscience and Music Perception

Papers in

Gudrun Schwarzer

142 papers receiving 2.3k citations

Peers

Gudrun Schwarzer
Comparison fields: 5 of 96
  • Music 290
  • Cognitive Neuroscience 1.6k
  • Developmental and Educational Psychology 800
  • Experimental and Cognitive Psychology 662
  • Social Psychology 477
Replace Mark A. Schmuckler with:
Mark A. Schmuckler Canada
Frances H. Rauscher United States
Lola L. Cuddy Canada
Katie Overy United Kingdom
Andrea R. Halpern United States
James C. Bartlett United States
Valorie N. Salimpoor Canada
Régine Kolinsky Belgium
Istvan Molnar-Szakacs United States
Emmanuel Bigand France
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Citations per field
00.5×1.5×2.3×
Mark A. Schmuckler · 1×
Citations per year

Countries citing papers authored by Gudrun Schwarzer

Since Specialization
Citations

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

Fields of papers citing papers by Gudrun Schwarzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011203
2 2011131
3 2019114
4 2000102
5 201776
6
The development of face processing
200375
7 200761
8 200559
9 201358
10 200658
11 201157
12 201256
13 201952
14 201851
15 201639
16 200336
17 201035
18 202135
19 200233
20 201533

About Gudrun Schwarzer

Gudrun Schwarzer is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Social Psychology and Computer Vision and Pattern Recognition, having authored 147 papers that have together received 2.4k indexed citations. Recurring topics across this work include Face Recognition and Perception (49 papers), Child and Animal Learning Development (46 papers), Multisensory perception and integration (21 papers), Evolutionary Psychology and Human Behavior (21 papers), Neuroscience and Music Perception (21 papers), Language Development and Disorders (16 papers), Spatial Cognition and Navigation (15 papers) and Hearing Impairment and Communication (15 papers). The work is most often cited by research in Music (290 citations), Cognitive Neuroscience (1.6k citations), Developmental and Educational Psychology (800 citations), Experimental and Cognitive Psychology (662 citations) and Social Psychology (477 citations). Gudrun Schwarzer has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Franziska Degé, Bianca Jovanovic, Claudia Kubicek, Claudia Freitag, Christina Kauschke, Helmut Leder, Susanne Huber, Sina Wehrum, Rudolf Stark and Bettina Lamm. Their work appears in journals such as Frontiers in Psychology, Journal of Experimental Child Psychology, Infant Behavior and Development, European Journal of Developmental Psychology and International Journal of Behavioral Development.

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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