Andrew Kim

Temple University

Papers

1

Total Citations

34

H-Index

1

About

Andrew Kim’s research lies at the intersection of surgical education, simulation technology, and human performance. His most cited work, “Prior video game utilization is associated with improved performance on a robotic skills simulator” (2016, 34 citations), established a foundational link between recreational gaming and enhanced dexterity in robotic surgery training. This study demonstrated that trainees with video game experience showed significantly better scores on simulation metrics, suggesting that pre-existing hand-eye coordination and spatial awareness can accelerate surgical skill acquisition. Kim’s contribution is notable for challenging traditional assumptions about surgical training prerequisites and for opening new avenues in recruitment and curriculum design. By quantifying how non-clinical activities influence technical performance, his work has informed simulator-based assessments and personalized training pathways. With over 30 citations, this paper remains a key reference in studies on surgical simulation and cognitive transfer. Kim’s research continues to explore how diverse prior experiences—from gaming to musical training—shape the learning curve for complex procedures, making him a distinctive voice in the push toward more adaptive, evidence-based surgical education.

Research Focus

Key Achievements

1
H-Index
1
Papers
34
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Prior video game utilization is associated with improved performance on a robotic skills simulator
34 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Temple University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago