Papers

1

Total Citations

10

H-Index

1

About

Nicholas Hubert is a urologic surgeon whose research focuses on the learning curves and skill acquisition for robotic-assisted surgeries, particularly in the context of complex reconstructive procedures. His most cited work, "Learning robotic pyeloplasty without simulators: an assessment of the learning curve in the early robotic era" (2019, 10 citations), provides critical insights into how surgeons develop proficiency in robotic pyeloplasty without relying on simulation-based training. By analyzing 100 consecutive procedures across four sequential groups, Hubert demonstrated that operative efficiency and outcomes improve significantly after the first 25 cases, offering a valuable benchmark for training programs and surgical credentialing. This study highlights his broader contributions to understanding surgical education and the practical challenges of adopting new technologies in the operating room. Hubert’s work is particularly impactful for early-career robotic surgeons and institutions seeking to optimize training pathways, as it underscores the importance of real-world experience over simulated practice. His research continues to inform best practices in minimally invasive urology, bridging the gap between technical innovation and safe clinical implementation.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Learning robotic pyeloplasty without simulators: an assessment of the learning curve in the early robotic era
10 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Centre Hospitalier Régional et Universitaire de Nancy

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago