Work

Data and Keyword Thesaurus for a Bibliometric Analysis of Augmented Reality in English Language Education

Year: 2026

Type: dataset

Abstract: This dataset accompanies a bibliometric study of augmented reality (AR) research in English language education. It contains two files: (1) a CSV file listing the 207 publications included in the final bibliometric analysis and (2) a VOSviewer-compatible thesaurus file used for author-keyword standardization. The thesaurus file documents the standardization of synonymous terms, abbreviations, spelling and hyphenation variants, and singular and plural forms. These materials are provided to enhance the transparency and reproducibility of the bibliographic coupling and keyword co-occurrence analyses.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23154317

Authors: Zhou, Bo, Lim, Seong Pek, Prasantham, Peerla, Bryce, Jonathan, Kabir, Nahdia, Miftah, M. Zaini

Institutions: INTI International University, Aditya Institute of Technology and Management, Institut Agama Islam Imam Syafii Indonesia

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W7220442499

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