Construction Data Analytics

Construction Data Analytics is a systematic computational and analytical framework that distinguishes itself within the broader class of data analytics methodologies by specifically enabling the extraction, integration, and interpretation of heterogeneous data generated throughout the construction lifecycle to support decision-making, performance optimization, and automation in construction processes.

234

Publications

12.7K

Citations

660

Authors

248

Institutions

Publications per year

2017–2026

178

Authors

660

  1. LO
    Lukumon O. Oyedele

    University of the West of England, United Kingdom

    8 publications · 672 citations

    8

    h-index

  2. OO
    Olúgbénga O. Akinadé

    University of the West of England, United Kingdom

    8 publications · 672 citations

    8

    h-index

  3. WL
    Weisheng Lu

    University of Hong Kong, Hong Kong SAR China

    7 publications · 531 citations

    7

    h-index

  4. SA
    Simaan AbouRizk

    University of Alberta, Canada

    6 publications · 141 citations

    6

    h-index

  5. HA
    Hakeem A. Owolabi

    University of the West of England, United Kingdom

    6 publications · 615 citations

    6

    h-index

1–5 of 660

Venues

  1. Automation in Construction

    40 publications · 4.3K citations

    34

    h-index

  2. Advanced Engineering Informatics

    10 publications · 526 citations

    11

    h-index

  3. 11

    h-index

  4. Buildings

    7 publications · 244 citations

    7

    h-index

  5. Journal of Management in Engineering

    6 publications · 192 citations

    6

    h-index

1–5