Julia Waldeyer

638 citations
19 papers · 415 · h-index 9

Impact in

Papers in

Julia Waldeyer

19 papers receiving 398 citations

Peers

Julia Waldeyer
Comparison fields: 5 of 48
  • Developmental and Educational Psychology 191
  • Experimental and Cognitive Psychology 107
  • Education 167
  • Computer Science Applications 28
  • Social Psychology 93
Replace Jinfen Xu with:
Jinfen Xu China
Anna Mystkowska‐Wiertelak Poland
Teresa Ober United States
Josef Künsting Germany
Maria Tulis Germany
Yunsong Wang China
Gabriele Steuer Germany
Christian Brandmo Norway
Maida Mustafić Luxembourg
Azar Hosseini Fatemi Iran
Julia Waldeyer relative to Jinfen Xu China Jinfen Xu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Julia Waldeyer

Since Specialization
Citations

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

Fields of papers citing papers by Julia Waldeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Julia Waldeyer, 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 Waldeyer Line = papers co-authored together Julia Waldeyer links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2020130
2 201985
3 202054
4 202030
5 202224
6 202021
7 202215
8 202215
9 201913
10 20197
11 20235
12 20234
13 20253
14 20243
15 20212
16 20211
17 20231
18 20241
19 20251

About Julia Waldeyer

Julia Waldeyer is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology, Clinical Psychology, Artificial Intelligence and Education, having authored 19 papers that have together received 415 indexed citations. Recurring topics across this work include Visual and Cognitive Learning Processes (9 papers), Innovative Teaching and Learning Methods (9 papers), Educational Strategies and Epistemologies (6 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Job Satisfaction and Organizational Behavior (3 papers), Perfectionism, Procrastination, Anxiety Studies (3 papers), Memory Processes and Influences (2 papers) and Reading and Literacy Development (2 papers). The work is most often cited by research in Developmental and Educational Psychology (191 citations), Experimental and Cognitive Psychology (107 citations), Education (167 citations), Computer Science Applications (28 citations) and Social Psychology (93 citations). Julia Waldeyer has collaborated with scholars based in Germany, Netherlands and Australia. Frequent co-authors include Julian Roelle, Alexander Renkl, Inga Glogger‐Frey, Matthias Nückles, Detlev Leutner, Jens Fleischer, Joachim Wirth, Theresa Dicke, Jiesi Guo and Herbert W. Marsh. Their work appears in journals such as Educational Psychology Review, Learning and Individual Differences, Sustainability, Computers & Education and Journal of Applied Research in Memory 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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