About

Roland Becker is a prominent orthopedic researcher whose work centers on knee and hip arthroplasty, with a particular focus on robotic-assisted and computer-guided surgical technologies. His research has significantly advanced understanding of how emerging technologies can improve surgical outcomes, reduce complications, and optimize implant positioning in joint replacement procedures. Becker's most impactful contributions examine robotic-assisted total knee arthroplasty (RA-TKA), with landmark studies demonstrating that robotic approaches reduce postoperative complications and shorten hospital stays compared to both conventional and navigation-guided techniques — work that has collectively garnered nearly 125 citations since 2024 alone. His cadaveric and clinical investigations into unicondylar knee arthroplasty have clarified biomechanical questions around bearing design and stability, while his systematic reviews and meta-analyses on computer-assisted surgery have shaped evidence-based consensus on tibial baseplate rotation accuracy. Beyond outcomes research, Becker has contributed to surgical education through the development of digital simulation tools aimed at training surgeons in individualized alignment techniques. His work spans the full translational arc — from cadaveric biomechanics to national database analyses — making him a well-rounded and influential voice in contemporary arthroplasty research. His growing citation record reflects the increasing clinical relevance of precision-guided joint replacement surgery.

Research Focus

Key Achievements

7
H-Index
10
Papers
221
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Trends and epidemiology in robotic‐assisted total knee arthroplasty: Reduced complications and shorter hospital stays
51 citations · 2024
📈 Most Prolific Year: 2024 (4 Papers)
🤝 Key Collaborators: 53
🏛 Institutions: Universitätsklinikum Brandenburg an der Havel, Medizinische Hochschule Brandenburg Theodor Fontane, University of Applied Sciences Potsdam, City Hospital

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago