Lane J. Wallace

Papers

1

Total Citations

2

H-Index

1

About

Lane J. Wallace is a researcher whose work bridges the fields of surgical simulation, robotics, and medical education, with a particular focus on validating training methodologies for complex procedures. His most cited study, "Robot-assisted training – expert performance in full immersion simulation, setting the benchmark (concurrent validity)" (2016), established a critical benchmark for assessing expert-level performance in robotic surgery training. By demonstrating concurrent validity in full immersion simulation environments, Wallace provided a foundational framework for measuring and standardizing surgical skill acquisition. This work directly impacts how trainees are evaluated and how training curricula are designed, ensuring that simulation-based practice accurately reflects real-world surgical demands. While his citation count is modest, the conceptual and methodological rigor of his research has informed subsequent studies in robotic-assisted surgery training. Wallace’s contributions are particularly valuable for educators and researchers seeking evidence-based approaches to simulation, offering a clear, reproducible standard for expert performance that helps bridge the gap between novice training and clinical mastery.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Robot-assisted training – expert performance in full immersion simulation, setting the benchmark (concurrent validity)
2 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago