Rebecca Hibbert

Mayo Clinic in Arizona

Papers

2

Total Citations

4

H-Index

2

About

Rebecca Hibbert is a rising researcher in the field of robotic-assisted surgery, with a focused expertise in ultrasound-guided percutaneous nephrolithotomy (PCNL)—a minimally invasive procedure for removing large kidney stones. Her work centers on integrating advanced robotic control systems with real-time ultrasound imaging to enhance surgical precision and safety. Hibbert’s major contributions include the development of novel visual servoing techniques for out-of-plane longitudinal needle tracking, a challenging task that requires exceptional dexterity and spatial awareness. By integrating confidence maps into these robotic systems, she has improved the reliability of needle localization during PCNL, addressing a critical bottleneck in ultrasound-guided interventions. Although her most-cited papers are recent (2025), each has already garnered 2 citations, signaling early recognition within the surgical robotics community. Her research promises to reduce the cognitive load on surgeons, minimize procedural errors, and expand access to complex kidney stone treatments. As a researcher at the intersection of robotics, computer vision, and urology, Hibbert is laying the groundwork for safer, more autonomous surgical systems that could transform minimally invasive urological care.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Integrating Confidence Maps and Visual Servoing for Needle Tracking in Robotic US-Guided Percutaneous Nephrolithotomy
2 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Mayo Clinic in Arizona

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago