Bibliometric Analysis of Neuroimaging Studies on Cognitive Control in Autism (2000–2025)

1,581 articles from Web of Science and Scopus databases were analyzed to map the evolution of neuroimaging research on cognitive control in Autism Spectrum Disorder. The analysis, conducted by Jing Hu, reveals an annual publication growth rate of 21.61% and a paradigm shift from functional localization to brain network dysregulation. The dataset, last updated in May 2026, includes visualizations of collaboration networks, keyword co-occurrence, and thematic evolution.

Use Cases

• Visualizing research collaboration networks based on country, institution, and author data.
• Analyzing keyword co-occurrence and thematic evolution to identify research hotspots like 'functional connectivity' and 'transdiagnostic' frameworks.
• Modeling the growth trajectory of a scientific field based on annual publication volume and citation patterns.

Strengths

• Includes 1,581 relevant articles sourced from authoritative databases (Web of Science Core Collection and Scopus).
• Quantifies a clear annual publication growth rate of 21.61% for the field.
• Applies established bibliometric tools (VOSviewer and Bibliometrix in R) for visualization and analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a DOCX document, which may require parsing to extract structured data for analysis.

Provenance

Source

Jing Hu via figshare.

Collection Method

Bibliometric analysis of articles retrieved from Web of Science Core Collection and Scopus databases.

Time Range

2000–2025

Freshness

Last updated 2026-05-26 06:01:59; freshness should be verified.