Research article

Mapping mathematics anxiety research: A bibliometric and science mapping study of Scopus indexed articles (2012–2025)


  • Published: 30 July 2026
  • In this study, I examined how mathematics anxiety research has evolved in scope, structure, and focus within the international literature from 2012 to 2025. Drawing on a corpus of 1,201 Scopus-indexed, peer reviewed journal articles, I combined performance indicators (publication and citation trends) with science mapping techniques, including co authorship analysis, co word analysis, bibliographic coupling, and thematic evolution mapping. The results showed a marked acceleration in publication output, especially after 2020, alongside a collaborative but geographically and institutionally concentrated authorship structure. Conceptually, the field remains anchored in affective motivational and cognitive constructs such as achievement, self-efficacy, motivation, working memory, and gender, while increasingly engaging statistics anxiety, intervention research, digital and online learning, and artificial intelligence in education. Collaboration and coupling networks reveal several well defined but only partially connected research streams, particularly between measurement and mechanism studies on the one hand and classroom or technology focused interventions on the other. Rather than indicating fragmentation, this pattern suggests a mature yet unevenly integrated field in which newer technology rich and post pandemic topics are layered onto long standing theoretical cores. The study is limited to Scopus indexed, English language journal articles, and to the inferential scope of bibliometric methods, so my findings should be interpreted as a structured representation of this segment of the literature rather than an exhaustive map. Within these boundaries, the analysis offers educators and researchers a data driven view of where mathematics anxiety research has consolidated, where it remains segmented, and where opportunities exist for stronger cross-national collaboration and closer linkage between mechanisms and interventions in digitally mediated learning environments.

    Citation: Lalin Abbacan-Tuguic. Mapping mathematics anxiety research: A bibliometric and science mapping study of Scopus indexed articles (2012–2025)[J]. STEM Education, 2026, 6(4): 744-775. doi: 10.3934/steme.2026030

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  • In this study, I examined how mathematics anxiety research has evolved in scope, structure, and focus within the international literature from 2012 to 2025. Drawing on a corpus of 1,201 Scopus-indexed, peer reviewed journal articles, I combined performance indicators (publication and citation trends) with science mapping techniques, including co authorship analysis, co word analysis, bibliographic coupling, and thematic evolution mapping. The results showed a marked acceleration in publication output, especially after 2020, alongside a collaborative but geographically and institutionally concentrated authorship structure. Conceptually, the field remains anchored in affective motivational and cognitive constructs such as achievement, self-efficacy, motivation, working memory, and gender, while increasingly engaging statistics anxiety, intervention research, digital and online learning, and artificial intelligence in education. Collaboration and coupling networks reveal several well defined but only partially connected research streams, particularly between measurement and mechanism studies on the one hand and classroom or technology focused interventions on the other. Rather than indicating fragmentation, this pattern suggests a mature yet unevenly integrated field in which newer technology rich and post pandemic topics are layered onto long standing theoretical cores. The study is limited to Scopus indexed, English language journal articles, and to the inferential scope of bibliometric methods, so my findings should be interpreted as a structured representation of this segment of the literature rather than an exhaustive map. Within these boundaries, the analysis offers educators and researchers a data driven view of where mathematics anxiety research has consolidated, where it remains segmented, and where opportunities exist for stronger cross-national collaboration and closer linkage between mechanisms and interventions in digitally mediated learning environments.



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  • Author's biography Lalin Abbacan-Tuguic is a faculty member at the College of Education, Kalinga State University, Philippines. Her research focuses on mathematics education, learners' affective and motivational processes, and the application of bibliometric and science-mapping methods to understand the evolution of educational research fields. She has experience in quantitative and mixed-methods designs and is particularly interested in how digital and AI-mediated learning environments interact with mathematics anxiety and student engagement
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  • © 2026 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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