Darren J. Yeo

724 total citations
26 papers, 393 citations indexed

About

Darren J. Yeo is a scholar working on Statistics and Probability, Developmental and Educational Psychology and Education. According to data from OpenAlex, Darren J. Yeo has authored 26 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 12 papers in Developmental and Educational Psychology and 8 papers in Education. Recurrent topics in Darren J. Yeo's work include Cognitive and developmental aspects of mathematical skills (12 papers), Reading and Literacy Development (8 papers) and Neuroscience and Music Perception (5 papers). Darren J. Yeo is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (12 papers), Reading and Literacy Development (8 papers) and Neuroscience and Music Perception (5 papers). Darren J. Yeo collaborates with scholars based in Singapore, United States and Canada. Darren J. Yeo's co-authors include Gavin R. Price, Eric D. Wilkey, Nicolas Escoffier, Annett Schirmer, Lisa K. Fazio, Laurie E. Cutting, Kang Hao Cheong, Benjamin Conrad, Joel Weijia Lai and Intan Azura Mokhtar and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Darren J. Yeo

23 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darren J. Yeo Singapore 10 213 154 135 104 80 26 393
Julia Bahnmueller Germany 11 136 0.6× 272 1.8× 195 1.4× 157 1.5× 61 0.8× 34 402
Xenia Schmalz Italy 11 202 0.9× 132 0.9× 416 3.1× 131 1.3× 61 0.8× 27 518
Maria Ktori Italy 12 194 0.9× 66 0.4× 243 1.8× 44 0.4× 98 1.2× 21 407
Anne Helder Netherlands 7 112 0.5× 59 0.4× 311 2.3× 136 1.3× 70 0.9× 12 434
Élisabeth Demont France 9 189 0.9× 91 0.6× 337 2.5× 108 1.0× 49 0.6× 28 418
Carola Wiklund‐Hörnqvist Sweden 10 218 1.0× 40 0.3× 127 0.9× 85 0.8× 94 1.2× 21 351
Nina Simms United States 10 71 0.3× 60 0.4× 213 1.6× 149 1.4× 113 1.4× 19 373
Serje Robidoux Australia 12 168 0.8× 30 0.2× 222 1.6× 57 0.5× 53 0.7× 34 321
Stella Christie China 9 102 0.5× 77 0.5× 282 2.1× 89 0.9× 125 1.6× 23 459
Michele Scaltritti Italy 13 303 1.4× 44 0.3× 246 1.8× 40 0.4× 112 1.4× 37 444

Countries citing papers authored by Darren J. Yeo

Since Specialization
Citations

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

Fields of papers citing papers by Darren J. Yeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darren J. Yeo. 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 Darren J. Yeo. The network helps show where Darren J. Yeo may publish in the future.

Co-authorship network of co-authors of Darren J. Yeo

This figure shows the co-authorship network connecting the top 25 collaborators of Darren J. Yeo. A scholar is included among the top collaborators of Darren J. Yeo 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 Darren J. Yeo. Darren J. Yeo 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.
Hu, Shiyu, et al.. (2025). A Comprehensive Review on Automated Grading Systems in STEM Using AI Techniques. Mathematics. 13(17). 2828–2828. 2 indexed citations
2.
Tan, Li, et al.. (2025). Artificial intelligence-enabled adaptive learning platforms: A review. Computers and Education Artificial Intelligence. 9. 100429–100429. 7 indexed citations
3.
Yeo, Darren J., et al.. (2024). Faculty’s attitudes towards inclusive education for university students with special educational needs (SENs) in Singapore. Higher Education Research & Development. 44(3). 736–752.
4.
Cheong, Kang Hao, et al.. (2024). Implementing GeoGebra 3D Calculator With Augmented Reality in Multivariable Calculus Education. IEEE Access. 12. 85455–85464.
5.
Lai, Joel Weijia, et al.. (2024). Advancing Lifelong Learning in the Digital Age: A Narrative Review of Singapore’s SkillsFuture Programme. Social Sciences. 13(2). 73–73. 15 indexed citations
6.
Yeo, Darren J., Courtney Pollack, Benjamin Conrad, & Gavin R. Price. (2023). Functional and representational differences between bilateral inferior temporal numeral areas. Cortex. 171. 113–135.
7.
Cheong, Kang Hao, et al.. (2023). Supporting Students’ Visualization of Multivariable Calculus Partial Derivatives via Virtual Reality. Mathematics. 11(4). 831–831. 4 indexed citations
8.
Lai, Joel Weijia, et al.. (2023). Unraveling the Dynamics of Lifelong Learning in Singapore: A Comparative Study. SHILAP Revista de lepidopterología. 3(3). 449–460. 3 indexed citations
9.
Cheong, Kang Hao, et al.. (2023). Utilizing Google Cardboard Virtual Reality for Visualization in Multivariable Calculus. IEEE Access. 11. 75398–75406. 6 indexed citations
10.
Conrad, Benjamin, Eric D. Wilkey, Darren J. Yeo, & Gavin R. Price. (2020). Network topology of symbolic and nonsymbolic number comparison. Network Neuroscience. 4(3). 714–745. 7 indexed citations
11.
Loehr, Abbey M., et al.. (2020). Are there costs to using incorrect worked examples in mathematics education?. Journal of Applied Research in Memory and Cognition. 9(4). 519–531. 3 indexed citations
12.
Yeo, Darren J. & Gavin R. Price. (2020). Probing the mechanisms underlying numerosity-to-numeral mappings and their relation to math competence. Psychological Research. 85(3). 1248–1271. 3 indexed citations
13.
Yeo, Darren J., Courtney Pollack, Rebecca Merkley, Daniel Ansari, & Gavin R. Price. (2020). The “Inferior Temporal Numeral Area” distinguishes numerals from other character categories during passive viewing: A representational similarity analysis. NeuroImage. 214. 116716–116716. 11 indexed citations
14.
Yeo, Darren J., Eric D. Wilkey, & Gavin R. Price. (2019). Malleability of mappings between Arabic numerals and approximate quantities: Factors underlying individual differences and the relation to math. Acta Psychologica. 198. 102877–102877. 3 indexed citations
15.
Yeo, Darren J. & Lisa K. Fazio. (2018). The optimal learning strategy depends on learning goals and processes: Retrieval practice versus worked examples.. Journal of Educational Psychology. 111(1). 73–90. 33 indexed citations
16.
Price, Gavin R., Darren J. Yeo, Eric D. Wilkey, & Laurie E. Cutting. (2017). Prospective relations between resting-state connectivity of parietal subdivisions and arithmetic competence. Developmental Cognitive Neuroscience. 30. 280–290. 26 indexed citations
17.
Yeo, Darren J., Eric D. Wilkey, & Gavin R. Price. (2017). The search for the number form area: A functional neuroimaging meta-analysis. Neuroscience & Biobehavioral Reviews. 78. 145–160. 70 indexed citations
18.
Price, Gavin R., Eric D. Wilkey, & Darren J. Yeo. (2017). Eye-movement patterns during nonsymbolic and symbolic numerical magnitude comparison and their relation to math calculation skills. Acta Psychologica. 176. 47–57. 7 indexed citations
19.
Price, Gavin R., Eric D. Wilkey, Darren J. Yeo, & Laurie E. Cutting. (2015). The relation between 1st grade grey matter volume and 2nd grade math competence. NeuroImage. 124(Pt A). 232–237. 34 indexed citations
20.
Escoffier, Nicolas, Darren J. Yeo, & Annett Schirmer. (2010). Unattended musical beats enhance visual processing. Acta Psychologica. 135(1). 12–16. 82 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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