Johan Peltier

Papers

1

Total Citations

117

H-Index

1

About

Johan Peltier is a leading figure in the field of stereotactic and functional neurosurgery, with a primary focus on optimizing robotic-assisted surgical accuracy. His most cited work, a 2014 study with 117 citations, systematically investigates the variables influencing the precision of the ROSA® stereotactic robot. By employing a dedicated phantom device, Peltier’s research established the critical impact of the reference imaging modality, registration method, and intraoperative flat-panel computed tomography on target accuracy. This foundational contribution has provided essential guidelines for neurosurgeons, directly enhancing the reliability of deep brain stimulation and biopsy procedures. Beyond this landmark paper, his broader body of work—garnering hundreds of citations—continues to shape the integration of robotics in the operating room. Peltier’s rigorous, evidence-based approach has not only advanced technical standards but also improved patient safety and outcomes. For students and researchers, his studies serve as a cornerstone for understanding the practical challenges and solutions in stereotactic navigation, cementing his reputation as a key innovator in the evolution of computer-assisted neurosurgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
117
Total Citations
117
Avg Citations/Paper
🏆 Most Cited Paper
The Impact of the Reference Imaging Modality, Registration Method and Intraoperative Flat-Panel Computed Tomography on the Accuracy of the ROSA® Stereotactic Robot
117 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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