Matthew Inglis

4.4k total citations · 1 hit paper
109 papers, 3.0k citations indexed

About

Matthew Inglis is a scholar working on Education, Statistics and Probability and Developmental and Educational Psychology. According to data from OpenAlex, Matthew Inglis has authored 109 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Education, 61 papers in Statistics and Probability and 25 papers in Developmental and Educational Psychology. Recurrent topics in Matthew Inglis's work include Mathematics Education and Teaching Techniques (64 papers), Cognitive and developmental aspects of mathematical skills (49 papers) and Statistics Education and Methodologies (14 papers). Matthew Inglis is often cited by papers focused on Mathematics Education and Teaching Techniques (64 papers), Cognitive and developmental aspects of mathematical skills (49 papers) and Statistics Education and Methodologies (14 papers). Matthew Inglis collaborates with scholars based in United Kingdom, United States and Belgium. Matthew Inglis's co-authors include Camilla Gilmore, Lara Alcock, Nina Attridge, Juan Pablo Mejía-Ramos, Adrian Simpson, Sarah Clayton, Hugues Lortie‐Forgues, Ian Jones, Sophie Batchelor and Lucy Cragg and has published in prestigious journals such as PLoS ONE, Philosophical Transactions of the Royal Society B Biological Sciences and Pain.

In The Last Decade

Matthew Inglis

104 papers receiving 2.8k citations

Hit Papers

Individual Differences in Inhibitory Control, Not Non-Ver... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Inglis United Kingdom 29 2.2k 1.7k 986 355 337 109 3.0k
Eric Knuth United States 30 2.2k 1.0× 1.2k 0.7× 762 0.8× 68 0.2× 228 0.7× 72 2.6k
Dina Tirosh Israel 26 1.8k 0.8× 1.1k 0.7× 435 0.4× 90 0.3× 186 0.6× 87 2.1k
Karen C. Fuson United States 31 4.1k 1.9× 3.8k 2.2× 2.4k 2.4× 319 0.9× 368 1.1× 94 5.3k
Luis Radford Canada 29 2.2k 1.0× 679 0.4× 842 0.9× 127 0.4× 244 0.7× 134 2.9k
Frank Lester United States 18 3.5k 1.6× 1.7k 1.0× 1.4k 1.4× 91 0.3× 352 1.0× 50 4.1k
Nathalie Sinclair Canada 26 1.4k 0.7× 551 0.3× 495 0.5× 143 0.4× 225 0.7× 106 2.1k
Arthur J. Baroody United States 37 3.1k 1.4× 3.1k 1.8× 1.8k 1.8× 255 0.7× 338 1.0× 126 4.0k
Роза Лейкин Israel 27 1.7k 0.8× 744 0.4× 544 0.6× 274 0.8× 820 2.4× 93 2.4k
Jon R. Star United States 36 3.4k 1.5× 2.0k 1.2× 1.8k 1.8× 183 0.5× 1.0k 3.1× 127 4.8k
Analúcia D. Schliemann Brazil 17 1.6k 0.7× 791 0.5× 699 0.7× 103 0.3× 205 0.6× 45 2.2k

Countries citing papers authored by Matthew Inglis

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Inglis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Inglis

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Inglis. A scholar is included among the top collaborators of Matthew Inglis 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 Matthew Inglis. Matthew Inglis 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.
Gilmore, Camilla, et al.. (2025). Children’s early understanding of the successor function. Journal of Numerical Cognition. 11.
2.
Gilmore, Camilla, et al.. (2025). Learning number notations – Comparison of a sign-value and place-value system. Journal of Numerical Cognition. 11. 1 indexed citations
3.
Attridge, Nina, et al.. (2025). Numeracy, logical reasoning and real-world decision making. Research in Mathematics Education. 1–17.
4.
Inglis, Matthew, Colin Foster, Hugues Lortie‐Forgues, & Elizabeth Stokoe. (2024). British education research and its quality: An analysis of Research Excellence Framework submissions. British Educational Research Journal. 50(5). 2495–2518. 1 indexed citations
5.
Alcock, Lara, et al.. (2023). Do Mathematicians Agree about Mathematical Beauty?. Review of Philosophy and Psychology. 15(1). 299–325. 3 indexed citations
6.
Adelman, James S., et al.. (2023). Are approximate number system representations numerical?. Journal of Numerical Cognition. 9(1). 129–144. 1 indexed citations
7.
Mejía-Ramos, Juan Pablo, et al.. (2022). Do mathematicians and undergraduates agree about explanation quality?. Educational Studies in Mathematics. 111(3). 445–467. 6 indexed citations
8.
Inglis, Matthew, et al.. (2022). Stereotype threat, gender and mathematics attainment: A conceptual replication of Stricker & Ward. PLoS ONE. 17(5). e0267699–e0267699. 2 indexed citations
9.
Smedt, Bert De, et al.. (2022). Counting many as one: Young children can understand sets as units except when counting. Journal of Experimental Child Psychology. 225. 105533–105533. 1 indexed citations
10.
Attridge, Nina, et al.. (2021). Cognitive performance in pain is predicted by effort, not goal desire. PLoS ONE. 16(11). e0258874–e0258874. 1 indexed citations
11.
Batchelor, Sophie, et al.. (2020). Iconicity in mathematical notation: Commutativity and symmetry. Journal of Numerical Cognition. 6(3). 378–392. 6 indexed citations
12.
Gilmore, Camilla, et al.. (2016). Congruency effects in dot comparison tasks: convex hull is more important than dot area. Journal of Cognitive Psychology. 28(8). 923–931. 45 indexed citations
13.
Attridge, Nina, et al.. (2015). The development of reasoning skills during compulsory 16 to 18 mathematics education. Research in Mathematics Education. 17(1). 20–37. 8 indexed citations
14.
Weber, Keith, Matthew Inglis, & Juan Pablo Mejía-Ramos. (2014). How Mathematicians Obtain Conviction: Implications for Mathematics Instruction and Research on Epistemic Cognition. Educational Psychologist. 49(1). 36–58. 51 indexed citations
15.
Iannone, Paola & Matthew Inglis. (2010). Undergraduate students’ use of deductive arguments to solve 'prove that…' tasks. UEA Digital Repository (University of East Anglia). 4 indexed citations
16.
Iannone, Paola & Matthew Inglis. (2010). Self efficacy and mathematical proof: are undergraduate students good at assessing their own proof production ability?. UEA Digital Repository (University of East Anglia). 17 indexed citations
17.
Inglis, Matthew & Juan Pablo Mejía-Ramos. (2008). The Effect of Authority on the Persuasiveness of Mathematical Arguments. Cognition and Instruction. 27(1). 25–50. 73 indexed citations
18.
Inglis, Matthew & Adrian Simpson. (2005). Heuristic Biases in Mathematical Reasoning.. Proceedings of the ... PME Conference. 3. 177–184. 4 indexed citations
19.
Inglis, Matthew & Adrian Simpson. (2004). MATHEMATICIANS AND THE SELECTION TASK. Proceedings of the ... PME Conference. 13 indexed citations
20.
Inglis, Matthew. (2003). Three Worlds and the Imaginary Sphere.. for the learning of mathematics. 23(3). 24–27. 2 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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