A. Malvisi

Istituto Ortopedico Rizzoli, Orthopedic Institute

Papers

3

Total Citations

57

H-Index

2

About

A. Malvisi is a pioneering figure in the field of robotic-assisted orthopedic surgery, with a focused research career dedicated to transforming total knee replacement through advanced mechatronics. Their major contributions center on the design and clinical validation of novel robotic systems for the operating theatre, bridging the gap between engineering innovation and surgical precision. Malvisi’s seminal 2000 paper, “Computer- and Robot-Assisted Total Knee Replacement: Analysis of a New Surgical Procedure,” remains their most influential work, accumulating 49 citations and establishing a foundational framework for minimally invasive, robot-guided arthroplasty. This study demonstrated how robotic assistance could enhance accuracy in bone resection and implant alignment, directly addressing limitations of conventional manual techniques. Further work in 2001 and 2002 detailed the development of a dedicated robotic system for total knee replacement, co-designed with physicians to meet real-world surgical requirements. While these later papers have accrued fewer citations, they represent critical technical milestones in translating robotic concepts into clinical reality. Malvisi’s research has helped set new standards for precision in orthopedic surgery, contributing to the revolutionary changes now seen in modern operating theatres. Their work remains a key reference for students and engineers exploring the intersection of robotics, computer-assisted surgery, and patient outcomes.

Research Focus

Key Achievements

2
H-Index
3
Papers
57
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Computer- and Robot-Assisted Total Knee Replacement: Analysis of a New Surgical Procedure
49 citations · 2000
📈 Most Prolific Year: 2000 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Istituto Ortopedico Rizzoli, Orthopedic Institute

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago