Papers

3

Total Citations

27

H-Index

3

About

Giuseppe Rovere is a leading orthopedic researcher focused on advancing total knee arthroplasty (TKA) through robotic-assisted surgery. His work centers on improving surgical precision, reducing complications, and enhancing patient outcomes in knee replacement. Rovere’s most impactful study, “Accuracy and learning curve of imageless robotic-assisted total knee arthroplasty” (15 citations), demonstrates that imageless robotic systems can achieve superior alignment and soft-tissue balance compared to conventional methods, while also defining the learning curve for surgeons adopting this technology. He has also made critical contributions to infection management, authoring “Early and delayed periprosthetic joint infection in robot-assisted total knee arthroplasty: a multicenter study” (8 citations), which clarifies the incidence and timing of periprosthetic joint infections in robotic cases. Additionally, his work on “Mid-Flexion Instability in Total Knee Arthroplasty: Insights from Robotic-Assisted Surgery” (4 citations) addresses a key source of patient dissatisfaction, using robotic data to characterize this poorly understood complication. With a growing citation record, Rovere’s research is shaping best practices in robotic TKA, offering evidence-based guidance for surgeons seeking to optimize outcomes and minimize risks.

Research Focus

Key Achievements

3
H-Index
3
Papers
27
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Accuracy and learning curve of imageless robotic-assisted total knee arthroplasty
15 citations · 2025
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Università Cattolica del Sacro Cuore, University of Rome Tor Vergata

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago