Papers

18

Total Citations

579

H-Index

10

About

David J. Mayman is a leading orthopedic surgeon-researcher whose work sits at the intersection of joint replacement surgery and emerging robotic technologies. Best known for his pioneering investigations into robotic-assisted arthroplasty, Mayman has systematically advanced the evidence base for computer-aided surgical systems in both hip and knee replacement procedures. His 2018 study demonstrating that robotic-arm assisted technology accurately correlates intraoperative implant placement with postoperative position (102 citations) helped validate the clinical reliability of these platforms, while his highly cited 2020 review of operative robotics (103 citations) became an essential reference for surgeons navigating this rapidly evolving landscape. Notably, his 2022 research revealed that robotic assistance for posterior approach total hip arthroplasty significantly reduces revision risk due to dislocation compared to manual techniques (74 citations), translating technological precision into measurable patient benefit. Mayman has also contributed foundational biomechanical work examining knee kinematics, ligament forces, and the consequences of surgical decisions during total knee arthroplasty. Across imaging-based and imageless robotic platforms, unicompartmental and total knee replacement, his body of work collectively shapes how orthopedic surgeons worldwide adopt, evaluate, and refine robotic surgical tools.

Research Focus

Key Achievements

10
H-Index
18
Papers
579
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Robots in the Operating Room During Hip and Knee Arthroplasty
103 citations · 2020
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 83
🏛 Institutions: Hospital for Special Surgery, University of Wisconsin–Madison

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago