Abraham Reyes Yanes

University of Alberta

Papers

1

Total Citations

22

H-Index

1

About

Abraham Reyes Yanes is a leading researcher at the intersection of advanced manufacturing and digital twin technology, with a particular focus on real-time system implementation for robotic production lines. His most-cited work, "Real-time Implementation of Digital Twin for Robot Based Production Line" (2021), has garnered 22 citations, establishing a foundational framework for synchronizing virtual models with physical manufacturing processes. This contribution addresses critical challenges in Industry 4.0, enabling predictive maintenance, process optimization, and reduced downtime through seamless cyber-physical integration. Yanes’ research bridges the gap between theoretical digital twin concepts and practical, deployable solutions, making him a key figure in smart manufacturing. His work is widely referenced by engineers and academics developing autonomous production systems, and he is recognized for advancing real-time data fusion and control algorithms. Beyond his citation impact, Yanes is noted for his collaborative projects with industrial partners, translating complex simulations into operational efficiencies. For students and researchers, his work offers a compelling model of how digital twins can transform traditional manufacturing into agile, data-driven environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Real-time Implementation of Digital Twin for Robot Based Production Line
22 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Alberta

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago