A bibliometric analysis covering the relevant literature on science anxiety over two decades
Aygul A. Khafizova 1 * , Sergei P. Zhdanov 2 , Oksana V. Beltyukova 3 , Natalia I. Lapidus 4 , Ludmila Y. Grebenshchikova 5 , Irina V. Lushchik 6
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1 Department of Higher School Pedagogy, Kazan Federal University, Kazan, RUSSIA2 Department of Civil Law Disciplines, Plekhanov Russian University of Economics, Moscow, RUSSIA3 Department of Psychology, Vyatka State University, Kirov, RUSSIA4 Department of Medical and Social Assessment, Emergency, and Ambulatory Practice, Sechenov First Moscow State Medical University, Moscow, RUSSIA5 Department of Reproductive Medicine and Perinatology, Tver State Medical University, Tver, RUSSIA6 Department of Finance and Monetary and Credit Relations, Russian Foreign Trade Academy, Moscow, RUSSIA* Corresponding Author

Abstract

This study aimed to examine publications related to science anxiety to contribute to developing relevant literature. A bibliometric analysis was conducted on 71 articles published between 2003 and 2022 from the Scopus database. The analysis examined the bibliographic links between the sources, authors, countries, and publications through the VOSviewer software. The results regarding keyword analysis showed that the five most frequently used keywords in the selected articles are anxiety, science anxiety, students, self-efficacy, and education. The results also showed that 80% of research papers on science anxiety, among the top 10 highest cited publications, were conducted in the USA. All of the top-10 publications were published in journals that have published articles in education literature for a long time. In addition, the results indicated that half of the publications also used psychology education journals. Furthermore, the bibliographic coupling of the authors showed that research teams from the USA authored the most publications on science anxiety. In light of the results, recommendations for future studies are made in conclusion.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Review Article

EURASIA J Math Sci Tech Ed, 2024, Volume 20, Issue 3, Article No: em2411

https://doi.org/10.29333/ejmste/14283

Publication date: 01 Mar 2024

Online publication date: 26 Feb 2024

Article Views: 418

Article Downloads: 334

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