SciRepID - Bibliometric Analysis using R Studio: Sixteen Years of Education for Sustainable Development Studies in Science Learning


Bibliometric Analysis using R Studio: Sixteen Years of Education for Sustainable Development Studies in Science Learning

Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing
Asosiasi Riset Ilmu Matematika dan Sains Indonesia (ARIMSI)

📄 Abstract

This study investigates the trends, contributions, and impact of research in the field of Education for Sustainable Development (ESD) in science learning through a bibliometric analysis of Scopus data. The Bibliometrix R package was used as the primary tool for analysis, with visualization supported by Microsoft Excel. The analysis reveals consistent growth in research output, with Indonesia identified as the leading contributor and Universitas Pendidikan Indonesia as the top-performing institution. Based on significant publications in high-impact journals, the most influential author is Ingo Eilks. The study recorded publication peaks in 2022 and 2024, possibly driven by the increasing urgency to address sustainability issues. The findings highlight the importance of international collaboration and continuous adaptation to emerging trends. These insights provide a comprehensive overview of research trends and impacts in ESD and offer straightforward directions for future research development, particularly in the context of global collaboration and responses to evolving sustainability challenges.

🔖 Keywords

#Bibliometrics Analysis; R Studio; ESD; Education for Sustainable Development; Science Learning

ℹ️ Informasi Publikasi

Tanggal Publikasi
30 June 2024
Volume / Nomor / Tahun
Volume 1, Nomor 1, Tahun 2024

📝 HOW TO CITE

Gita Nurul Puspita; Ari Widodo; Siti Sriyati; Achmad Samsudin, "Bibliometric Analysis using R Studio: Sixteen Years of Education for Sustainable Development Studies in Science Learning," Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing, vol. 1, no. 1, Jun. 2024.

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