Document Type : Original Article

Authors

1 Associated Professor, Department of Knowledge and Information Science, Faculty of Literature and Humanities, University of Qom, Qom, Iran

2 PhD Student, Department of Knowledge and Information Science, Faculty of Literature and Humanities, University of Qom, Qom, Iran

3 PhD Student, Department of Information Science, Faculty of Educational sciences and Psychology, Alzahra University, Tehran, Iran

10.22034/jkrs.2025.20684

Abstract

Purpose: This study aims to identify the position of children’s and young adult literature within Google Scholar using a scientometric approach.
Methodology: This applied scientometric research analyzed the profiles of researchers who listed “Children and Young Adult Literature” as a research interest in their Google Scholar profiles. A researcher-developed checklist was used for data extraction, with analysis performed using Microsoft Excel 2022 and IBM SPSS 2023.
Findings: Fifty-nine researchers on Google Scholar indicated an interest in this field, comprising 46 women and 13 men. Collectively, they have published 2,098 works, receiving 8,926 total citations. However, only 640 citations were specifically attributed to publications in children’s and young adult literature. The most active researchers were affiliated with institutions in Indonesia, Iran, and India. The predominant academic backgrounds were literature, educational sciences, and English language studies, with the majority holding a PhD. The top three researchers by overall profile metrics were Seyit ATEŞ, Dilek Altun, and Zakir Ali Rajnish. In terms of publications specific to the field, Seyit ATEŞ, Angelica Hobjila, and Mahdi Mohammadi were the most prominent.
Conclusion: Google Scholar can serve as a valuable tool for mapping the research landscape of children’s and young adult literature. However, inherent limitations of the platform can constrain its utility for comprehensive scientometric analysis.
Value: This study represents the first quantitative investigation to systematically examine the challenges and opportunities of using Google Scholar data for scientometric purposes in this specific field, providing actionable insights into its current research state.

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