Martin Skitmore

Queensland University of Technology

Papers

3

Total Citations

108

H-Index

3

About

Martin Skitmore is a prolific construction management researcher whose work spans both traditional project delivery and cutting-edge intelligent automation technologies. His recent highly cited contributions reflect a pivotal shift toward smart construction systems, with notable work in image-based object recognition for crane lifting tasks (41 citations), intelligent hoisting systems using car-like mobile robots (30 citations), and AI-driven waste removal for smarter urban communities (37 citations). These studies collectively address some of the construction industry's most pressing challenges — labor costs, worker safety, and environmental sustainability — by leveraging machine learning, computer vision, and robotic automation. Skitmore's research on intelligent hoisting systems is particularly significant, proposing solutions that reduce reliance on manual labor while enhancing operational precision on construction sites. His contributions to smart waste management further demonstrate an interdisciplinary reach, connecting urban planning with intelligent technology design. With a combined citation count exceeding 100 across just these three recent works, Skitmore has established himself as a leading voice in the modernization of construction and civil engineering practices, making his research essential reading for students and practitioners navigating the future of smart infrastructure.

Research Focus

Key Achievements

3
H-Index
3
Papers
108
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
Image-based onsite object recognition for automatic crane lifting tasks
41 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Queensland University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago