Keyword Clusters from Scopus Publications on Augmented Reality and Anxiety

4 keyword clusters were generated from Scopus publication metadata using co-occurrence analysis. The dataset contains between 17 and 36 keywords per cluster, resulting from a search for English-language publications with 'augmented reality' and 'anxiety' in the title, abstract, or keywords. Dinara Suleimanova created this dataset, which was last updated on April 8, 2026.

Use Cases

• Identify key research themes in the AR and anxiety literature based on keyword clusters.
• Analyze the conceptual structure and relationships between topics in this research domain.
• Guide literature reviews or meta-analyses by highlighting prominent keyword groupings.

Strengths

• Clustering results are explicitly defined, yielding 4 distinct clusters.
• The source of the data is clearly stated as Scopus publication metadata.
• The specific search query used to retrieve the source data is provided.

Limitations

• The dataset is very small at 12.8 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Scopus publication metadata.

Collection Method

Keywords were extracted via a defined search query and clustered using VOSviewer software based on co-occurrence analysis.

Freshness

Last updated 2026-04-08 19:10:58; freshness should be verified.