Papers

2

Total Citations

25

H-Index

2

About

R. Guijarro is a leading researcher in the field of robotic-assisted surgery (RAS), with a particular focus on its application in thoracic procedures and surgical training. Their major contributions center on addressing the steep learning curve that hinders the widespread adoption of this technology. Notably, Guijarro developed a novel mixed reality tool for training in minimally invasive robotic-assisted surgery, a work that has already garnered 23 citations since its publication in 2023, underscoring its immediate impact on surgical education. This tool represents a significant step toward making RAS training more accessible and effective. Additionally, Guijarro has conducted pioneering clinical research, including an analysis of the first 50 robotic-assisted thoracic surgeries (RATS) performed at a university teaching hospital. This study, published in 2025, provides crucial data on anesthetic considerations and postoperative outcomes, helping to build the evidence base needed to justify the broader implementation of RATS. Through this combination of innovative training solutions and rigorous clinical evaluation, Guijarro is actively shaping the future of minimally invasive surgery.

Research Focus

Key Achievements

2
H-Index
2
Papers
25
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
A new mixed reality tool for training in minimally invasive robotic-assisted surgery
23 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Fundacio Investigacio Hospital General Universitari De Valencia, Universitat de València

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago