Nikolas K. Knowles

St Joseph's Health Care, University of Calgary

Papers

2

Total Citations

43

H-Index

2

About

Nikolas K. Knowles is a leading figure in orthopedic biomechanics, with a focused expertise in the computational modeling and experimental validation of the human shoulder. His research centers on developing and rigorously testing subject-specific finite element models (FEMs) of the scapula, a critical bone for understanding joint replacement mechanics. Knowles’s major contribution lies in bridging the gap between computational prediction and physical reality. In his highly cited 2019 work (30 citations), he pioneered the use of digital volume correlation (DVC) to validate QCT-derived scapula FEMs, demonstrating their accuracy in predicting local displacements. He extended this work in 2020 (13 citations) by performing the first full-field comparisons between FEM-predicted strains and experimentally measured strains, providing essential validation for using these models to evaluate shoulder implant designs preclinically. This rigorous, validation-driven approach ensures that his computational tools can be trusted to inform surgical planning and implant innovation. Knowles’s work is foundational for researchers and engineers seeking to improve the long-term success of shoulder arthroplasty.

Research Focus

Key Achievements

2
H-Index
2
Papers
43
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Performance of QCT-Derived scapula finite element models in predicting local displacements using digital volume correlation
30 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: St Joseph's Health Care, University of Calgary

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago