Thomas E. Hunt

586 total citations
18 papers, 379 citations indexed

About

Thomas E. Hunt is a scholar working on Experimental and Cognitive Psychology, Statistics and Probability and Social Psychology. According to data from OpenAlex, Thomas E. Hunt has authored 18 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Experimental and Cognitive Psychology, 9 papers in Statistics and Probability and 7 papers in Social Psychology. Recurrent topics in Thomas E. Hunt's work include Education, Achievement, and Giftedness (13 papers), Cognitive and developmental aspects of mathematical skills (9 papers) and Motivation and Self-Concept in Sports (4 papers). Thomas E. Hunt is often cited by papers focused on Education, Achievement, and Giftedness (13 papers), Cognitive and developmental aspects of mathematical skills (9 papers) and Motivation and Self-Concept in Sports (4 papers). Thomas E. Hunt collaborates with scholars based in United Kingdom, Canada and Türkiye. Thomas E. Hunt's co-authors include David Sheffield, Edward J. N. Stupple, David Clark‐Carter, Frances A. Maratos, James Elander, Aimée Aubeeluck, Melanie Pitchford, Linden J. Ball, Erin A. Maloney and Miles Richardson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of the New York Academy of Sciences.

In The Last Decade

Thomas E. Hunt

18 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas E. Hunt United Kingdom 9 188 146 85 84 58 18 379
Emmanuel Sander France 11 149 0.8× 52 0.4× 39 0.5× 138 1.6× 106 1.8× 40 309
Luke Rinne United States 14 282 1.5× 104 0.7× 22 0.3× 202 2.4× 141 2.4× 17 512
Michael Drake New Zealand 13 286 1.5× 76 0.5× 85 1.0× 37 0.4× 131 2.3× 28 436
Stacy T. Shaw United States 7 193 1.0× 226 1.5× 148 1.7× 105 1.3× 61 1.1× 20 411
Sonia Guerriero France 5 186 1.0× 185 1.3× 108 1.3× 80 1.0× 44 0.8× 5 361
Peter Op ’t Eynde Belgium 8 337 1.8× 114 0.8× 96 1.1× 49 0.6× 157 2.7× 23 436
Laurinda C Brown United States 13 437 2.3× 116 0.8× 67 0.8× 140 1.7× 163 2.8× 52 575
Elizabeth Rellinger United States 5 189 1.0× 123 0.8× 57 0.7× 30 0.4× 251 4.3× 5 426
Anu Laine Finland 13 477 2.5× 161 1.1× 82 1.0× 100 1.2× 136 2.3× 78 630
Seokhee Cho United States 9 120 0.6× 148 1.0× 44 0.5× 25 0.3× 56 1.0× 30 264

Countries citing papers authored by Thomas E. Hunt

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Hunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Hunt. 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 Thomas E. Hunt. The network helps show where Thomas E. Hunt may publish in the future.

Co-authorship network of co-authors of Thomas E. Hunt

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

All Works

18 of 18 papers shown
1.
Szczygieł, Monika, et al.. (2025). Domain-specific and domain-general predictors of math anxiety in adolescents and adults. Contemporary Educational Psychology. 82. 102400–102400. 1 indexed citations
2.
Barnes, Christopher, et al.. (2023). Measuring categorisation in pre-school children: new toolkit, new insights. Journal of Human Growth and Development. 33(2). 184–193. 1 indexed citations
3.
Bureau, Jean‐François, Thomas E. Hunt, Helena P. Osana, et al.. (2023). Relations between Math Achievement, Math Anxiety, and the Quality of Parent–Child Interactions While Solving Math Problems. Education Sciences. 13(3). 307–307. 7 indexed citations
4.
Cipora, Krzysztof, et al.. (2022). Measurement of mathematics anxiety in an Israeli adult population. Journal of Numerical Cognition. 8(1). 148–165. 1 indexed citations
5.
Hunt, Thomas E. & Erin A. Maloney. (2022). Appraisals of previous math experiences play an important role in math anxiety. Annals of the New York Academy of Sciences. 1515(1). 143–154. 12 indexed citations
6.
Dove, Jane, Jane Montague, & Thomas E. Hunt. (2021). AN EXPLORATION OF PRIMARY SCHOOL TEACHERS’ MATHS ANXIETY USING INTERPRETATIVE PHENOMENOLOGICAL ANALYSIS. University of Derby Online Research Archive. (University of Derby). 10(1). 32–49. 2 indexed citations
7.
Hunt, Thomas E., Ovidiu Bagdasar, David Sheffield, & Malcolm Schofield. (2019). Assessing Domain Specificity in the Measurement of Mathematics Calculation Anxiety. SHILAP Revista de lepidopterología. 2019. 1–7. 2 indexed citations
8.
Hunt, Thomas E., et al.. (2019). An English Version of the Mathematics Teaching Anxiety Scale. SHILAP Revista de lepidopterología. 436–443. 7 indexed citations
9.
Petronzi, Dominic, et al.. (2018). Further development of the Children’s Mathematics Anxiety Scale UK (CMAS-UK) for ages 4–7 years. Educational Studies in Mathematics. 100(3). 231–249. 27 indexed citations
10.
Hunt, Thomas E., et al.. (2017). Endogenous and exogenous time pressure: Interactions with mathematics anxiety in explaining arithmetic performance. International Journal of Educational Research. 82. 91–98. 7 indexed citations
11.
Hunt, Thomas E., et al.. (2017). Mental arithmetic performance, physiological reactivity and mathematics anxiety amongst U.K. primary school children. Learning and Individual Differences. 57. 129–132. 29 indexed citations
12.
Stupple, Edward J. N., et al.. (2017). Slower is not always better: Response-time evidence clarifies the limited role of miserly information processing in the Cognitive Reflection Test. PLoS ONE. 12(11). e0186404–e0186404. 45 indexed citations
13.
Stupple, Edward J. N., et al.. (2016). Development of the Critical Thinking Toolkit (CriTT): A measure of student attitudes and beliefs about critical thinking. Thinking Skills and Creativity. 23. 91–100. 109 indexed citations
14.
Hunt, Thomas E., David Clark‐Carter, & David Sheffield. (2014). Math anxiety, intrusive thoughts and performance: Exploring the relationship between mathematics anxiety and performance: The role of intrusive thoughts. University of Derby Online Research Archive. (University of Derby). 1 indexed citations
15.
Richardson, Miles, et al.. (2014). Children's Construction Task Performance and Spatial Ability: Controlling Task Complexity and Predicting Mathematics Performance. Perceptual and Motor Skills. 119(3). 741–757. 18 indexed citations
16.
Hunt, Thomas E., David Clark‐Carter, & David Sheffield. (2014). Exploring the Relationship Between Mathematics Anxiety and Performance: An Eye‐Tracking Approach. Applied Cognitive Psychology. 29(2). 226–231. 17 indexed citations
17.
Hunt, Thomas E., David Clark‐Carter, & David Sheffield. (2011). The Development and Part Validation of a U.K. Scale for Mathematics Anxiety. Journal of Psychoeducational Assessment. 29(5). 455–466. 52 indexed citations
18.
Sheffield, David & Thomas E. Hunt. (2006). How Does Anxiety Influence Maths Performance and What Can We do About It?. MSOR Connections. 6(4). 19–23. 41 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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