Samuel D. Stegelmann

Medical City Dallas Hospital

Papers

2

Total Citations

16

H-Index

2

About

Samuel D. Stegelmann is a rising orthopaedic surgeon whose research focuses on robotic-assisted joint arthroplasty and patient-specific outcomes after total hip and knee replacement. His work bridges surgical innovation with practical, real-world concerns—most notably through his highly cited 2023 study on the learning curve for imageless robotic-assisted total knee arthroplasty among non-fellowship trained surgeons, which has garnered 10 citations and provides critical guidance for expanding access to advanced surgical techniques. In a uniquely patient-centered contribution, Stegelmann also led a study using CT-based robotics to evaluate “at-risk” sexual positions after total hip arthroplasty, earning 6 citations and highlighting his commitment to addressing quality-of-life questions often overlooked in the literature. His research demonstrates a rare combination of technical rigor and empathetic inquiry, making him a distinctive voice in orthopaedic outcomes research. As an early-career investigator, Stegelmann’s work is already shaping how surgeons adopt robotic tools and how patients reclaim active, fulfilling lives after joint replacement.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Learning curve for imageless robotic-assisted total knee arthroplasty in non-fellowship trained joint replacement surgeons
10 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Medical City Dallas Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago