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Data · dataset · 2026

Cleaned corpus and reproducible pipeline for the bibliometric analysis of artificial intelligence in civil engineering (2000-2025)

Listed in Teesside University Research Data Repository

This dataset accompanies the manuscript "Bibliometric Analysis of Artificial Intelligence in Civil Engineering (2000–2025): Trends, Sub-domain Trajectories, Thematic Clusters, and Emerging Research Frontiers".

Description

It provides the complete PRISMA-cleaned corpus of 18,334 peer-reviewed Scopus articles, the Python pipeline used for all analyses, the four statistical tests (Pettitt, Mann-Whitney, KS, bootstrap), the 100-record manual audit, the classifier validation, and all bibliometric tables and VOSviewer-ready exports needed to reproduce every reported statistic.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/7ckktd7skk.416 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title