Merve Kircicek

University of Edinburgh

Papers

1

Total Citations

5

H-Index

1

About

Merve Kircicek’s research lies at the intersection of haptics, human-robot interaction, and surgical training, with a focus on understanding how the human hand adapts during physically interactive tasks. Her most cited work, “Hand-Impedance Measurement During Laparoscopic Training Coupled with Robotic Manipulators” (2018, 5 citations), introduces a novel method for quantifying changes in hand-impedance as surgeons train with co-manipulated robotic systems. By capturing how the hand’s mechanical properties—stiffness, damping, and inertia—evolve with practice, Kircicek provides foundational insights that could transform both robotic-assisted surgery training and the design of adaptive, human-aware robotic controllers. This contribution is particularly significant for developing more intuitive co-manipulation interfaces and personalized training protocols. While her citation count reflects the early-stage nature of this specialized field, the work’s originality and practical relevance have established her as a promising voice in haptic feedback and medical robotics. Kircicek’s research bridges engineering and clinical practice, offering a data-driven path toward safer, more effective surgical training and human-robot collaboration.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Hand-Impedance Measurement During Laparoscopic Training Coupled with Robotic Manipulators
5 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Edinburgh

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago