Automated Progress Monitoring
Automated Progress Monitoring is a construction automation methodology that systematically captures, analyzes, and evaluates project execution data through digital technologies to objectively assess deviations from planned performance without continuous human intervention.
128
Publications
7.3K
Citations
317
Authors
119
Institutions
Publications per year
2017–2026
68
Parents
128
Mani Golparvar‐Fard, Feniosky Peña‐Mora, Silvio Savarese · Journal of Computing in Civil Engineering · 2012 · 398 citations
Architecture, Construction Management, Project Management +17
1–5 of 128
317
7
h-index
6
h-index
6
h-index
University of Illinois Urbana-Champaign, United States
5 publications · 621 citations
5
h-index
5
h-index
1–5 of 317
119

University of Waterloo
Waterloo, Canada
8 h-index
24 publications
1.8K citations

Concordia University
Montreal, Canada
7 h-index
16 publications
749 citations

Universiti Teknologi Petronas
Ipoh, Malaysia
7 h-index
38 publications
1.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
12 publications
681 citations

Illinois Institute of Technology
Chicago, United States
4 h-index
4 publications
227 citations
Technion – Israel Institute of Technology
Haifa, Israel
4 h-index
8 publications
700 citations

Deakin University
Burwood, Australia
4 h-index
6 publications
260 citations
Technical University of Munich
Munich, Germany
4 h-index
15 publications
1.7K citations
1–8 of 119
17 publications · 2.2K citations
16
h-index
8 publications · 803 citations
8
h-index
8 publications · 481 citations
8
h-index
6 publications · 115 citations
6
h-index
3 publications · 303 citations
3
h-index
1–5