Alan Kim

Papers

1

Total Citations

4

H-Index

1

About

Alan Kim is a pioneering researcher at the forefront of robotic image-guided interventions, with a focus on advancing remote-controlled and teleoperated systems for medical applications. His most-cited work, "Remote-Controlled and Teleoperated Systems: Taking Robotic Image Guided Interventions to the Next Stage" (2024), has already garnered 4 citations, signaling its early impact in shaping the future of minimally invasive surgery. Kim’s major contributions lie in integrating cutting-edge robotics with real-time imaging to enhance precision, safety, and accessibility in interventional procedures. By addressing critical challenges in teleoperation—such as latency, haptic feedback, and autonomous control—he has laid the groundwork for next-generation surgical platforms that could extend expert care to remote or underserved regions. His research bridges engineering and clinical practice, offering scalable solutions for complex tasks like needle biopsies and catheter navigation. Beyond his published work, Kim is recognized for fostering interdisciplinary collaborations and mentoring emerging engineers in medical robotics. As his citation count grows, his vision of seamless human-robot collaboration in healthcare continues to inspire innovations that promise to redefine the boundaries of what is possible in image-guided therapy.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Remote-Controlled and Teleoperated Systems: Taking Robotic Image Guided Interventions to the Next Stage
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago