Josep-Maria Balaguer

University of Pittsburgh

Papers

2

Total Citations

16

H-Index

2

About

Josep-Maria Balaguer is a pioneering researcher at the intersection of robotics and neuroscience, with a primary focus on advancing high-accuracy, minimally-invasive surgical techniques for deep brain electrophysiology. His most cited work, "Robot Assisted Neurosurgery for High-Accuracy, Minimally-Invasive Deep Brain Electrophysiology in Monkeys" (2022, 14 citations), demonstrates his major contribution: leveraging the ROSA One® Robot Assistance Platform to overcome the limitations of traditional stereotaxic frames and anatomical atlases, which suffer from significant implantation accuracy variations. By enabling precise access to subcortical structures in non-human primates, Balaguer’s research has profound implications for translational neuroscience, potentially improving clinical outcomes in human deep brain stimulation and neuroprosthetics. Additionally, his work "Disruption of Proprioceptive Information During Electrical Stimulation of the Cutaneous Afferents" (2021, 2 citations) explores sensory-motor integration, further showcasing his versatility. Balaguer’s impact is evident in the foundational nature of his robotic neurosurgery approach, which has garnered attention for its potential to revolutionize stereotactic procedures. His achievements highlight a commitment to bridging engineering and biology, offering students and researchers a compelling model for interdisciplinary innovation in neurotechnology.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Robot Assisted Neurosurgery for High-Accuracy, Minimally-Invasive Deep Brain Electrophysiology in Monkeys
14 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: University of Pittsburgh

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago