Richard J. Daker

533 total citations
16 papers, 296 citations indexed

About

Richard J. Daker is a scholar working on Experimental and Cognitive Psychology, Automotive Engineering and Clinical Psychology. According to data from OpenAlex, Richard J. Daker has authored 16 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Experimental and Cognitive Psychology, 6 papers in Automotive Engineering and 6 papers in Clinical Psychology. Recurrent topics in Richard J. Daker's work include Creativity in Education and Neuroscience (8 papers), Perfectionism, Procrastination, Anxiety Studies (6 papers) and Spatial Cognition and Navigation (6 papers). Richard J. Daker is often cited by papers focused on Creativity in Education and Neuroscience (8 papers), Perfectionism, Procrastination, Anxiety Studies (6 papers) and Spatial Cognition and Navigation (6 papers). Richard J. Daker collaborates with scholars based in United States, Canada and United Kingdom. Richard J. Daker's co-authors include Adam E. Green, Ian M. Lyons, Robert A. Cortes, Adam B. Weinberger, H. Moriah Sokolowski, Zhiting Ren, Roger E. Beaty, Xinran Wu, Wenjing Yang and Jiangzhou Sun and has published in prestigious journals such as NeuroImage, Scientific Reports and Annals of the New York Academy of Sciences.

In The Last Decade

Richard J. Daker

14 papers receiving 287 citations

Peers

Richard J. Daker

ECP

EDUCA

Andria Shimi United Kingdom

Paulette Rozencwajg France

Robert A. Cortes United States

Marco Giancola Italy

Susana Ruiz Fernández Germany

Celal Perihan United States

Marisa Giorgetti Italy

Howard Riley United Kingdom

Stella Christie China

Lucy L. M. Patston New Zealand

Andria Shimi United Kingdom

Richard J. Daker

100 ×0.5

ECP

213 ×1.9

52 ×1.0

32 ×0.7

EDUCA

26 ×0.7

Citations per year, relative to Richard J. Daker Richard J. Daker (= 1×) peers Andria Shimi

Countries citing papers authored by Richard J. Daker

Since Specialization

Citations

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

Fields of papers citing papers by Richard J. Daker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard J. Daker

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

All Works

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16 of 16 papers shown

Sokolowski, H. Moriah, Richard J. Daker, Ian M. Lyons, et al.. (2025). Visual imagery and STEM occupational attainment: Gender matters. Personality and Individual Differences. 250. 113552–113552.

Daker, Richard J., H. Moriah Sokolowski, Adam E. Green, et al.. (2024). Examining the Interplay between the Cognitive and Emotional Aspects of Gender Differences in Spatial Processing. Journal of Intelligence. 12(3). 30–30. 1 indexed citations

Daker, Richard J., et al.. (2024). Implications of neural integration of math and spatial experiences for math ability and math anxiety. Psychological Research. 89(1). 34–34. 2 indexed citations

Daker, Richard J., et al.. (2024). It is a “small world”: Relations between performance on five spatial tasks and five mathematical tasks in undergraduate students.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 78(4). 256–274.

Daker, Richard J., et al.. (2023). Does anxiety explain why math-anxious people underperform in math?. npj Science of Learning. 8(1). 6–6. 8 indexed citations

Daker, Richard J., et al.. (2023). Evidence for avoidance tendencies linked to anxiety about specific types of thinking. Scientific Reports. 13(1). 3294–3294. 4 indexed citations

Daker, Richard J., et al.. (2023). Investigating links between creativity anxiety, creative performance, and state-level anxiety and effort during creative thinking. Scientific Reports. 13(1). 17095–17095. 5 indexed citations

Li, Yadan, et al.. (2023). Linking Creativity Anxiety to Two Creative Cognitive Styles Through Creative Self-Efficacy and Novelty Seeking. Creativity Research Journal. 37(1). 56–70. 5 indexed citations

Cortes, Robert A., David J. M. Kraemer, Robert A Kolvoord, et al.. (2022). Transfer from spatial education to verbal reasoning and prediction of transfer from learning-related neural change. Science Advances. 8(32). eabo3555–eabo3555. 13 indexed citations

10.

Daker, Richard J., et al.. (2022). Testing the specificity of links between anxiety and performance within mathematics and spatial reasoning. Annals of the New York Academy of Sciences. 1512(1). 174–191. 11 indexed citations

11.

Daker, Richard J., et al.. (2022). Predictive effects of creative abilities and attitudes on performance in university-level computer science courses.. Translational Issues in Psychological Science. 8(1). 104–124. 4 indexed citations

12.

Daker, Richard J., et al.. (2021). First-year students’ math anxiety predicts STEM avoidance and underperformance throughout university, independently of math ability. npj Science of Learning. 6(1). 17–17. 71 indexed citations

13.

Ren, Zhiting, Richard J. Daker, Liang Shi, et al.. (2020). Connectome-Based Predictive Modeling of Creativity Anxiety. NeuroImage. 225. 117469–117469. 44 indexed citations

14.

Daker, Richard J., Robert A. Cortes, Ian M. Lyons, & Adam E. Green. (2019). Creativity anxiety: Evidence for anxiety that is specific to creative thinking, from STEM to the arts.. Journal of Experimental Psychology General. 149(1). 42–57. 48 indexed citations

15.

Daker, Richard J. & Ian M. Lyons. (2018). Numerical and Non-numerical Predictors of First Graders’ Number-Line Estimation Ability. Frontiers in Psychology. 9. 2336–2336. 4 indexed citations

16.

Cortes, Robert A., Adam B. Weinberger, Richard J. Daker, & Adam E. Green. (2018). Re-examining prominent measures of divergent and convergent creativity. Current Opinion in Behavioral Sciences. 27. 90–93. 76 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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