Kate M. Xu

1.4k total citations · 2 hit papers
25 papers, 759 citations indexed

About

Kate M. Xu is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Kate M. Xu has authored 25 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Experimental and Cognitive Psychology, 13 papers in Social Psychology and 8 papers in Developmental and Educational Psychology. Recurrent topics in Kate M. Xu's work include Education, Achievement, and Giftedness (10 papers), Grit, Self-Efficacy, and Motivation (7 papers) and Visual and Cognitive Learning Processes (5 papers). Kate M. Xu is often cited by papers focused on Education, Achievement, and Giftedness (10 papers), Grit, Self-Efficacy, and Motivation (7 papers) and Visual and Cognitive Learning Processes (5 papers). Kate M. Xu collaborates with scholars based in Netherlands, Australia and United States. Kate M. Xu's co-authors include Alexander Skulmowski, Joshua Weidlich, Karel Kreijns, Renate H. M. de Groot, Fred Paas, Björn B. de Koning, Jingjing Zhang, Herbert W. Marsh, David C. Geary and Celeste Meijs and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Educational Psychology and Computers in Human Behavior.

In The Last Decade

Kate M. Xu

23 papers receiving 717 citations

Hit Papers

Understanding Cognitive L... 2021 2026 2022 2024 2021 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kate M. Xu Netherlands 11 222 204 203 186 117 25 759
Lijia Lin China 15 314 1.4× 343 1.7× 380 1.9× 113 0.6× 114 1.0× 42 818
Jeeheon Ryu South Korea 11 167 0.8× 122 0.6× 157 0.8× 80 0.4× 112 1.0× 84 558
André Tricot France 16 347 1.6× 294 1.4× 474 2.3× 83 0.4× 87 0.7× 108 1.1k
Chung-Yuan Hsu Taiwan 16 360 1.6× 264 1.3× 475 2.3× 89 0.5× 207 1.8× 24 1.1k
Joerg Zumbach Austria 15 201 0.9× 75 0.4× 225 1.1× 106 0.6× 46 0.4× 34 573
M. Shane Tutwiler United States 15 313 1.4× 127 0.6× 307 1.5× 121 0.7× 199 1.7× 29 907
Marlit Annalena Lindner Germany 19 350 1.6× 297 1.5× 266 1.3× 77 0.4× 63 0.5× 42 752
Jiumin Yang China 17 437 2.0× 400 2.0× 254 1.3× 180 1.0× 151 1.3× 59 815
Türkan Karakuş Türkiye 9 273 1.2× 149 0.7× 417 2.1× 51 0.3× 132 1.1× 21 756
Franck Amadieu France 12 195 0.9× 222 1.1× 297 1.5× 41 0.2× 60 0.5× 33 596

Countries citing papers authored by Kate M. Xu

Since Specialization
Citations

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

Fields of papers citing papers by Kate M. Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate M. Xu. 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 Kate M. Xu. The network helps show where Kate M. Xu may publish in the future.

Co-authorship network of co-authors of Kate M. Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Kate M. Xu. A scholar is included among the top collaborators of Kate M. Xu 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 Kate M. Xu. Kate M. Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Baars, Martine, et al.. (2025). The Effect of Growth Mindset Interventions on Students’ Self-Regulated Use of Retrieval Practice. Education Sciences. 15(10). 1267–1267.
2.
Xu, Kate M., et al.. (2025). The Effect of Fostering a Growth Mindset in Primary School Children: Does Intervention Approach Matter?. Education Sciences. 15(3). 327–327. 1 indexed citations
3.
Xu, Kate M., et al.. (2024). An Evolutionary Approach to Motivation and Learning: Differentiating Biologically Primary and Secondary Knowledge. Educational Psychology Review. 36(2). 3 indexed citations
5.
Basarkod, Geetanjali, Herbert W. Marsh, Jiesi Guo, et al.. (2023). The Big-Fish-Little-Pond Effect for Reading Self-Beliefs: A Cross-National Exploration with PISA 2018. Scientific Studies of Reading. 27(4). 375–392. 2 indexed citations
7.
Lin, Lijia, et al.. (2023). Examining the effects of utility value writing and summary writing on learning and motivation among Chinese university students. Current Psychology. 43(12). 10528–10539. 1 indexed citations
8.
Meijs, Celeste, et al.. (2022). Academic self-efficacy, self-esteem, and grit in higher online education: Consistency of interests predicts academic success. Social Psychology of Education. 25(4). 951–975. 30 indexed citations
9.
Geary, David C. & Kate M. Xu. (2022). Evolution of Self-Awareness and the Cultural Emergence of Academic and Non-academic Self-Concepts. Educational Psychology Review. 34(4). 2323–2349. 12 indexed citations
10.
Geary, David C. & Kate M. Xu. (2022). Evolutionary Perspectives on Educational Psychology: Motivation, Instructional Design, and Child Development. Educational Psychology Review. 34(4). 2221–2227. 9 indexed citations
11.
Ouwehand, Kim, Kate M. Xu, Marieke Meeuwisse, Sabine Severiens, & Lisette Wijnia. (2022). Impact of School Population Composition, Workload, and Teachers’ Utility Values on Teaching Quality: Insights From the Dutch TALIS-2018 Data. Frontiers in Education. 7. 4 indexed citations
12.
Xu, Kate M., Ronnel B. King, Björn B. de Koning, et al.. (2021). A cross-cultural investigation on perseverance, self-regulated learning, motivation, and achievement. Compare A Journal of Comparative and International Education. 53(3). 361–379. 65 indexed citations
13.
Skulmowski, Alexander & Kate M. Xu. (2021). Understanding Cognitive Load in Digital and Online Learning: a New Perspective on Extraneous Cognitive Load. Educational Psychology Review. 34(1). 171–196. 269 indexed citations breakdown →
14.
Mavilidi, Myrto F., Herbert W. Marsh, Kate M. Xu, et al.. (2021). Relative age effects on academic achievement in the first ten years of formal schooling: A nationally representative longitudinal prospective study.. Journal of Educational Psychology. 114(2). 308–325. 10 indexed citations
15.
Kreijns, Karel, Kate M. Xu, & Joshua Weidlich. (2021). Social Presence: Conceptualization and Measurement. Educational Psychology Review. 34(1). 139–170. 173 indexed citations breakdown →
16.
Zhang, Jingjing, et al.. (2021). The Impact of Productive Failure on Learning Performance and Cognitive Load: Using Hypervideo to Facilitate Online Interactions. Data Archiving and Networked Services (DANS). 30–32. 6 indexed citations
17.
Meijs, Celeste, Hieronymus J.M. Gijselaers, Kate M. Xu, Paul A. Kirschner, & Renate H. M. de Groot. (2021). The Relation Between Cognitively Measured Executive Functions and Reported Self-Regulated Learning Strategy Use in Adult Online Distance Education. Frontiers in Psychology. 12. 641972–641972. 6 indexed citations
18.
Zhang, Jingjing, et al.. (2020). Using learning analytics to understand collective attention in language MOOCs. Computer Assisted Language Learning. 35(7). 1594–1619. 17 indexed citations
20.
Xu, Kate M., Björn B. de Koning, Lijia Lin, et al.. (2020). A growth mindset lowers perceived cognitive load and improves learning: Integrating motivation to cognitive load.. Journal of Educational Psychology. 113(6). 1177–1191. 64 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026