Rakesh Nair

Columbia Asia

Papers

2

Total Citations

23

H-Index

2

About

Dr. Rakesh Nair is a pioneering orthopedic surgeon whose research centers on advancing robotic-assisted total knee arthroplasty (TKA) through precision imaging and automation. His most-cited work, a 2022 study on pre-operative three-dimensional CT templating, demonstrated that 3D scans significantly improve implant size prediction and alignment accuracy in robot-assisted TKA—a finding that has garnered 16 citations for its potential to reduce revision surgeries. Building on this, his 2023 evaluation of a fully automated active robotic system (7 citations) confirmed its safety and efficacy, marking a leap toward minimizing human error in joint replacement. Dr. Nair’s contributions bridge the gap between surgical planning and intraoperative execution, offering reproducible, patient-specific outcomes. His work is particularly notable for validating automated robotics in real-world settings, addressing long-standing concerns about cost and reliability. With a growing citation footprint, Dr. Nair is shaping the future of orthopedic surgery, making complex procedures safer, faster, and more predictable for patients worldwide.

Research Focus

Key Achievements

2
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Efficacy of the Pre-operative Three-Dimensional (3D) CT Scan Templating in Predicting Accurate Implant Size and Alignment in Robot Assisted Total Knee Arthroplasty
16 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Columbia Asia

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago