Julia Bahnmueller

694 citations
34 papers · 402 · h-index 11

Impact in

Papers in

Julia Bahnmueller

33 papers receiving 390 citations

Peers

Julia Bahnmueller
Comparison fields: 5 of 65
  • Statistics and Probability 272
  • Developmental and Educational Psychology 195
  • Cognitive Neuroscience 136
  • Theoretical Computer Science 6
  • Education 157
Replace Jan Lonnemann with:
Jan Lonnemann Germany
Dror Dotan Israel
Jiaxin Cui China
Xenia Schmalz Italy
Elizabet Spaepen United States
Samuel Di Luca Belgium
Stéphanie Ducrot France
Darren J. Yeo Singapore
Sami R. Yousif United States
Élisabeth Demont France
Julia Bahnmueller relative to Jan Lonnemann Germany Jan Lonnemann's profile →
Citations per field
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Citations per year

Countries citing papers authored by Julia Bahnmueller

Since Specialization
Citations

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

Fields of papers citing papers by Julia Bahnmueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201654
2 202137
3 201333
4 201532
5 201831
6 201725
7 201524
8 201516
9 201515
10 201812
11 201810
12 20189
13 20149
14 20199
15 20199
16 20228
17 20188
18 20207
19 20197
20 20157

About Julia Bahnmueller

Julia Bahnmueller is a scholar working on Statistics and Probability, Developmental and Educational Psychology, Cognitive Neuroscience, Education and Experimental and Cognitive Psychology, having authored 34 papers that have together received 402 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (29 papers), Reading and Literacy Development (19 papers), Mathematics Education and Teaching Techniques (12 papers), Neuroscience and Music Perception (7 papers), Neuroscience, Education and Cognitive Function (3 papers), Neural and Behavioral Psychology Studies (3 papers), Child and Animal Learning Development (2 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Statistics and Probability (272 citations), Developmental and Educational Psychology (195 citations), Cognitive Neuroscience (136 citations), Theoretical Computer Science (6 citations) and Education (157 citations). Julia Bahnmueller has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Korbinian Moeller, Hans‐Christoph Nuerk, Stefan Huber, Elise Klein, Johannes Bloechle, Johannes Rennig, Klaus Willmes, Silke M. Göbel, Silvia Pixner and Stephan Schwan. Their work appears in journals such as Frontiers in Psychology, Psychological Research, Behavioral and Brain Functions, Computers in Human Behavior and Quarterly Journal of Experimental 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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