Paul Ayres

8.5k total citations · 1 hit paper
70 papers, 4.8k citations indexed

About

Paul Ayres is a scholar working on Experimental and Cognitive Psychology, Developmental and Educational Psychology and Education. According to data from OpenAlex, Paul Ayres has authored 70 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Experimental and Cognitive Psychology, 44 papers in Developmental and Educational Psychology and 25 papers in Education. Recurrent topics in Paul Ayres's work include Visual and Cognitive Learning Processes (53 papers), Innovative Teaching and Learning Methods (26 papers) and Intelligent Tutoring Systems and Adaptive Learning (13 papers). Paul Ayres is often cited by papers focused on Visual and Cognitive Learning Processes (53 papers), Innovative Teaching and Learning Methods (26 papers) and Intelligent Tutoring Systems and Adaptive Learning (13 papers). Paul Ayres collaborates with scholars based in Australia, Netherlands and Chile. Paul Ayres's co-authors include John Sweller, Fred Paas, Paul Chandler, Slava Kalyuga, Nadine Marcus, Jeroen J. G. van Merriënboer, Juan C. Castro-Alonso, Kristin Fraser, Tamara van Gog and Endah Retnowati and has published in prestigious journals such as Journal of Educational Psychology, Computers in Human Behavior and Computers & Education.

In The Last Decade

Paul Ayres

68 papers receiving 4.4k citations

Hit Papers

The Expertise Reversal Effect 2003 2026 2010 2018 2003 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Ayres Australia 35 2.8k 2.3k 1.6k 820 634 70 4.8k
Roland Brünken Germany 29 2.0k 0.7× 1.4k 0.6× 1.1k 0.7× 513 0.6× 728 1.1× 81 3.7k
Huib K. Tabbers Netherlands 19 2.1k 0.8× 1.5k 0.6× 960 0.6× 635 0.8× 487 0.8× 38 3.6k
Wolfgang Schnotz Germany 31 2.2k 0.8× 2.0k 0.8× 1.9k 1.2× 445 0.5× 354 0.6× 104 4.1k
Peter Gerjets Germany 42 2.3k 0.8× 2.1k 0.9× 1.4k 0.9× 719 0.9× 570 0.9× 162 5.1k
Katharina Scheiter Germany 45 3.3k 1.2× 2.7k 1.1× 2.2k 1.4× 853 1.0× 574 0.9× 197 6.3k
Slava Kalyuga Australia 36 4.8k 1.7× 4.1k 1.7× 2.6k 1.7× 1.7k 2.1× 647 1.0× 115 7.5k
Juhani E. Tuovinen Australia 16 1.6k 0.6× 1.3k 0.6× 896 0.6× 634 0.8× 395 0.6× 33 3.1k
Mitchell J. Nathan United States 32 1.2k 0.4× 2.6k 1.1× 2.7k 1.7× 721 0.9× 528 0.8× 127 5.5k
Remy M. J. P. Rikers Netherlands 40 1.3k 0.5× 1.5k 0.6× 1.8k 1.1× 453 0.6× 541 0.9× 112 5.3k
Jan L. Plass United States 40 2.8k 1.0× 3.9k 1.7× 2.3k 1.5× 956 1.2× 873 1.4× 106 7.6k

Countries citing papers authored by Paul Ayres

Since Specialization
Citations

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

Fields of papers citing papers by Paul Ayres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Ayres

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Ayres. A scholar is included among the top collaborators of Paul Ayres 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 Paul Ayres. Paul Ayres 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.
Ayres, Paul, et al.. (2025). Some do's and don'ts of Educational Videos. Learning and Instruction. 96. 102077–102077. 2 indexed citations
2.
Ayres, Paul, et al.. (2024). The Worked-Example Effect and a Mastery Approach Goal Orientation. Education Sciences. 14(6). 597–597. 1 indexed citations
3.
Castro-Alonso, Juan C., et al.. (2024). Research Avenues Supporting Embodied Cognition in Learning and Instruction. Educational Psychology Review. 36(1). 18 indexed citations
4.
Marcus, Nadine, et al.. (2024). Comparing Real and Imitative Practice with No Practice during Observational Learning of Hand Motor Skills from Animations. Education Sciences. 14(9). 949–949. 1 indexed citations
5.
Bahari, Akbar, et al.. (2023). Improving Computer-Assisted Language Learning Through the Lens of Cognitive Load. Educational Psychology Review. 35(2). 27 indexed citations
6.
Ayres, Paul, Joy Yeonjoo Lee, Fred Paas, & Jeroen J. G. van Merriënboer. (2021). The Validity of Physiological Measures to Identify Differences in Intrinsic Cognitive Load. Frontiers in Psychology. 12. 702538–702538. 111 indexed citations
7.
Ayres, Paul, et al.. (2019). Investigating how errors should be flagged and worked examples structured when providing feedback to novice learners of mathematics. Educational Psychology. 41(2). 153–171. 9 indexed citations
8.
Marcus, Nadine, et al.. (2019). Using mimicking gestures to improve observational learning from instructional videos. Educational Psychology. 40(5). 550–569. 21 indexed citations
9.
Castro-Alonso, Juan C., Paul Ayres, & Fred Paas. (2016). Comparing apples and oranges? A critical look at research on learning from statics versus animations. Computers & Education. 102. 234–243. 45 indexed citations
10.
Wong, Mona, Juan C. Castro-Alonso, Paul Ayres, & Fred Paas. (2015). Gender Effects When Learning Manipulative Tasks from Instructional Animations and Static Presentations.. Educational Technology & Society. 18(4). 37–52. 34 indexed citations
11.
Fraser, Kristin, Paul Ayres, & John Sweller. (2015). Cognitive Load Theory for the Design of Medical Simulations. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 10(5). 295–307. 188 indexed citations
12.
Ayres, Paul, et al.. (2014). Using a general problem-solving strategy to promote transfer.. Journal of Experimental Psychology Applied. 20(3). 215–231. 19 indexed citations
13.
Marcus, Nadine, et al.. (2013). Should hand actions be observed when learning hand motor skills from instructional animations?. Computers in Human Behavior. 29(6). 2172–2178. 55 indexed citations
14.
Ayres, Paul, et al.. (2009). Getting In: Australian University Decision-making Processes When Gifted Learners Apply for Early Admission. UNSWorks (UNSW Sydney). 18(2). 43. 2 indexed citations
15.
Ayres, Paul, et al.. (2008). Investigating the influence of transitory information and motivation during instructional animations. International Conference of Learning Sciences. 54(10). 68–75. 6 indexed citations
16.
Rogers, Karen B., et al.. (2007). The State of Early Tertiary Admission in Australia: 2000 to Present. UNSWorks (UNSW Sydney). 16(2). 15. 2 indexed citations
17.
Ayres, Paul. (2006). Impact of reducing intrinsic cognitive load on learning in a mathematical domain. Applied Cognitive Psychology. 20(3). 287–298. 124 indexed citations
18.
Ayres, Paul, et al.. (2005). Translating words into equations: a cognitive load theory approach. Educational Psychology. 25(1). 75–97. 32 indexed citations
19.
Ayres, Paul. (2005). The Scaling of HSC English: Myths and Facts. UNSWorks (UNSW Sydney). 10. 1 indexed citations
20.
Ayres, Paul. (2001). Systematic Mathematical Errors and Cognitive Load. Contemporary Educational Psychology. 26(2). 227–248. 66 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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