Julia Waldeyer

609 total citations
19 papers, 393 citations indexed

About

Julia Waldeyer is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Julia Waldeyer has authored 19 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Developmental and Educational Psychology, 10 papers in Experimental and Cognitive Psychology and 4 papers in Clinical Psychology. Recurrent topics in Julia Waldeyer's work include Visual and Cognitive Learning Processes (9 papers), Innovative Teaching and Learning Methods (9 papers) and Educational Strategies and Epistemologies (6 papers). Julia Waldeyer is often cited by papers focused on Visual and Cognitive Learning Processes (9 papers), Innovative Teaching and Learning Methods (9 papers) and Educational Strategies and Epistemologies (6 papers). Julia Waldeyer collaborates with scholars based in Germany, Netherlands and Australia. Julia Waldeyer's co-authors include Julian Roelle, Alexander Renkl, Matthias Nückles, Inga Glogger‐Frey, Joachim Wirth, Jens Fleischer, Detlev Leutner, Jiesi Guo, Theresa Dicke and Herbert W. Marsh and has published in prestigious journals such as Journal of Educational Psychology, Computers & Education and Sustainability.

In The Last Decade

Julia Waldeyer

19 papers receiving 371 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Julia Waldeyer Germany 9 191 161 107 94 65 19 393
Anna Mystkowska‐Wiertelak Poland 13 146 0.8× 125 0.8× 68 0.6× 196 2.1× 23 0.4× 31 604
Jinfen Xu China 15 236 1.2× 258 1.6× 53 0.5× 146 1.6× 59 0.9× 57 714
Gabriele Steuer Germany 13 223 1.2× 297 1.8× 257 2.4× 276 2.9× 27 0.4× 27 634
Ya‐Fen Lo United States 10 286 1.5× 210 1.3× 100 0.9× 70 0.7× 36 0.6× 19 555
Kamila Urban Slovakia 12 141 0.7× 73 0.5× 153 1.4× 41 0.4× 74 1.1× 35 391
Jianpeng Guo China 10 155 0.8× 233 1.4× 50 0.5× 36 0.4× 18 0.3× 24 390
Teresa Ober United States 10 181 0.9× 139 0.9× 104 1.0× 50 0.5× 25 0.4× 37 384
Yunsong Wang China 10 124 0.6× 157 1.0× 70 0.7× 264 2.8× 56 0.9× 14 529
Afsheen Rezai Iran 13 170 0.9× 216 1.3× 44 0.4× 125 1.3× 30 0.5× 42 500
Laura Dörrenbächer‐Ulrich Germany 9 278 1.5× 232 1.4× 66 0.6× 99 1.1× 18 0.3× 28 426

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-authorship network of co-authors of Julia Waldeyer

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Waldeyer. A scholar is included among the top collaborators of Julia Waldeyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julia Waldeyer. Julia Waldeyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Waldeyer, Julia, Vincent Hoogerheide, & Julian Roelle. (2025). Learning by explaining through digital devices: The role of the modality of oral explaining and extraversion. Computers & Education. 237. 105394–105394. 1 indexed citations
2.
Bruin, Anique B. H. de, et al.. (2025). Cognitive Load and Challenges in Self-regulation: An Introduction and Reflection on the Topical Collection. Educational Psychology Review. 37(3). 65–65. 1 indexed citations
3.
Waldeyer, Julia, Tino Endres, Julian Roelle, Martine Baars, & Alexander Renkl. (2024). How to Optimize Self-Assessment Accuracy in Cognitive Skill Acquisition When Learning from Worked Examples. Educational Psychology Review. 36(4). 3 indexed citations
4.
Waldeyer, Julia, et al.. (2024). Do Rubrics Enhance Self-Assessment Accuracy?. Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie. 56(3). 144–158. 1 indexed citations
5.
Waldeyer, Julia & Julian Roelle. (2023). Does Providing External Standards After Keyword Generation Improve Metacomprehension Accuracy and Regulation for High School Students?. Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie. 55(2-3). 136–146. 4 indexed citations
6.
Waldeyer, Julia, Marion Händel, & Julian Roelle. (2023). Advances in Understanding and Fostering the Accuracy of Metacognitive Judgments. Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie. 55(2-3). 31–35. 1 indexed citations
7.
Waldeyer, Julia, et al.. (2023). Self-regulation of resources in higher education. Zeitschrift für Pädagogische Psychologie. 39(4). 295–308. 5 indexed citations
8.
Roelle, Julian, et al.. (2022). Sequence matters! Retrieval practice before generative learning is more effective than the reverse order. Learning and Instruction. 80. 101634–101634. 15 indexed citations
9.
Waldeyer, Julia, Theresa Dicke, Jens Fleischer, et al.. (2022). A moderated mediation analysis of conscientiousness, time management strategies, effort regulation strategies, and university students' performance. Learning and Individual Differences. 100. 102228–102228. 14 indexed citations
10.
11.
Waldeyer, Julia, et al.. (2021). Is ‘more’ really more?. 4(1). 77–97. 1 indexed citations
12.
Waldeyer, Julia, et al.. (2021). Studienerfolg von Fachstudierenden im Anfangsstudium der Biologie. 27(1). 73–81. 2 indexed citations
13.
Waldeyer, Julia, et al.. (2020). Can generative learning tasks be optimized by incorporation of retrieval practice?. Journal of Applied Research in Memory and Cognition. 9(3). 355–369. 30 indexed citations
14.
Waldeyer, Julia & Julian Roelle. (2020). The keyword effect: A conceptual replication, effects on bias, and an optimization. Metacognition and Learning. 16(1). 37–56. 20 indexed citations
15.
Nückles, Matthias, Julian Roelle, Inga Glogger‐Frey, Julia Waldeyer, & Alexander Renkl. (2020). The Self-Regulation-View in Writing-to-Learn: Using Journal Writing to Optimize Cognitive Load in Self-Regulated Learning. Educational Psychology Review. 32(4). 1089–1126. 126 indexed citations
16.
Fleischer, Jens, et al.. (2020). Do motivational regulation strategies contribute to university students' academic success?. Learning and Individual Differences. 82. 101912–101912. 49 indexed citations
17.
Dicke, Theresa, Herbert W. Marsh, Philip D. Parker, et al.. (2019). Job satisfaction of teachers and their principals in relation to climate and student achievement.. Journal of Educational Psychology. 112(5). 1061–1073. 79 indexed citations
18.
Waldeyer, Julia, Jens Fleischer, Joachim Wirth, & Detlev Leutner. (2019). Validating the Resource-Management Inventory (ReMI). European Journal of Psychological Assessment. 36(5). 777–786. 13 indexed citations
19.
Waldeyer, Julia, Jens Fleischer, Joachim Wirth, & Detlev Leutner. (2019). Entwicklung und erste Validierung eines Situational-Judgement-Instruments zur Erfassung von Kompetenzen im Bereich des Ressourcenmanagements (ReMI). Diagnostica. 65(2). 108–118. 7 indexed citations

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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