Frederik Aust

25 papers receiving 762 citations

Peers

Frederik Aust
Comparison fields: 5 of 120
  • Applied Psychology 86
  • General Decision Sciences 26
  • Experimental and Cognitive Psychology 146
  • Cognitive Neuroscience 205
  • Statistics, Probability and Uncertainty 67
Replace Katherine S. Corker with:
Katherine S. Corker United States
Randy J. McCarthy United States
Sara Steegen Belgium
Samantha F. Anderson United States
Malte Elson Germany
Jason Geller United States
Peter J. Etchells United Kingdom
Thomas Scherndl Austria
Chris Hartgerink Netherlands
Yuki Yamada Japan
Frederik Aust relative to Katherine S. Corker United States Katherine S. Corker's profile →
Citations per field
00.5×1.5×2.5×
Katherine S. Corker · 1×
Citations per year

Countries citing papers authored by Frederik Aust

Since Specialization
Citations

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

Fields of papers citing papers by Frederik Aust

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012361
2 2018149
3 202037
4 201833
5 201828
6
Analysis of Factorial Experiments [R package afex version 1.0-1]
202125
7 202123
8 201723
9 202321
10 201719
11 202014
12 201613
13 202310
14 20236
15 20236
16 20235
17 20244
18 20213
19 20223
20 20242

About Frederik Aust

Frederik Aust is a scholar working on Statistics and Probability, Cognitive Neuroscience, Statistics, Probability and Uncertainty, Social Psychology and Sociology and Political Science, having authored 26 papers that have together received 791 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (5 papers), Behavioral Health and Interventions (3 papers), Memory Processes and Influences (3 papers), Scientific Computing and Data Management (3 papers), Research Data Management Practices (3 papers), Child and Animal Learning Development (2 papers), Memory and Neural Mechanisms (2 papers) and scientometrics and bibliometrics research (2 papers). The work is most often cited by research in Applied Psychology (86 citations), General Decision Sciences (26 citations), Experimental and Cognitive Psychology (146 citations), Cognitive Neuroscience (205 citations) and Statistics, Probability and Uncertainty (67 citations). Frederik Aust has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Birk Diedenhofen, Sebastian Ullrich, Jochen Musch, Christoph Stahl, Julia M. Haaf, Eric‐Jan Wagenmakers, Hans IJzerman, Wolf Vanpaemel, Tom E Hardwicke and Gustav Nilsonne. Their work appears in journals such as Behavior Research Methods, Journal of Experimental Psychology Learning Memory and Cognition, Computational Brain & Behavior, Royal Society Open Science and Journal of Personality and Social Psychology.

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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