Jonas Winter

Johns Hopkins University

Papers

1

Total Citations

6

H-Index

1

About

Jonas Winter is a leading researcher at the intersection of medical robotics and human-computer interaction, with a primary focus on mixed reality interfaces for intraoperative imaging. His most-cited work, "Mixed reality interfaces for achieving desired views with robotic X-ray systems" (2022, 6 citations), addresses a critical bottleneck in robotic C-arm imaging: translating a surgeon’s mental image of a desired X-ray view into precise robotic positioning. Rather than relying on cumbersome joystick controls, Winter proposes intuitive mixed reality overlays that allow surgeons to visualize and specify target poses directly in the operating environment. This contribution bridges the gap between robotic precision and clinical usability, reducing cognitive load and procedural time. While his citation count is still growing, Winter’s work is notable for its early impact in a niche but clinically vital area—improving the surgeon-robot dialogue. His research has been recognized for its potential to streamline complex orthopedic and trauma surgeries, and he continues to explore how augmented reality can make robotic systems more transparent and responsive to expert intent. For students and researchers, Winter’s trajectory exemplifies how thoughtful interface design can unlock the full potential of advanced medical hardware.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Mixed reality interfaces for achieving desired views with robotic X-ray systems
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Johns Hopkins University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago