2026-10-15T17:58:44Z https://data.mendeley.com/oai

oai:data.mendeley.com/7ckktd7skk.4 2026-07-21T09:56:57Z

Lecheheb, Mostefa Cleaned corpus and reproducible pipeline for the bibliometric analysis of artificial intelligence in civil engineering (2000-2025) Mendeley Data 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". 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. Bibliometrics Abdelheq , Guettiche Nihad , Khallef Mohamed Abdelali , Soltane Dataset doi:10.17632/7ckktd7skk.4 oai:data.mendeley.com/7ckktd7skk.4 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/7ckktd7skk 2026-07-21T09:56:57Z