<b>Scientific Evolution and Thematic Structure of Knowledge Management and Artificial Inte

1,188 journal articles on knowledge management and artificial intelligence in construction engineering, collected from Scopus and Web of Science. The dataset was created by Emma Costa Balarezo and last updated on 2026-05-30. It supports analysis of publication trends, country collaboration, and thematic clusters.

Use Cases

• Mapping international research collaboration networks based on country co-authorship data.
• Identifying emerging research fronts based on keyword co-occurrence and abstract analysis.
• Analyzing publication trends and growth of specific technologies like BIM-integrated AI or large language models.
• Clustering research themes such as construction safety, digital transformation, and knowledge representation.

Strengths

• Contains 1,188 journal articles, providing a substantial corpus for analysis.
• Covers a defined time range from 2016 to 2025, allowing for trend analysis.
• Data sourced from authoritative bibliographic databases Scopus and Web of Science.
• Analysis identifies principal contributing countries and four major thematic clusters.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data files is unknown, which may limit suitability assessment.
• Data may reflect geographic or source bias inherent to the selected databases.

Provenance

Source

Scopus and Web of Science databases.

Collection Method

Bibliographic data collected using a structured search strategy, screened and filtered.

Time Range

2016–2025

Freshness

Last updated 2026-05-30 18:38:48; freshness should be verified.

Geography

Global, with principal contributors identified as China, the United Kingdom, the United States, and Australia.