Papers

8

Total Citations

241

H-Index

6

About

Jaime A. Cavallo is a leading researcher in surgical ergonomics and minimally invasive urologic surgery, with a focus on optimizing surgeon performance and patient outcomes. His major contributions center on the ergonomic analysis of robot-assisted and laparoscopic procedures, demonstrating how these technologies affect surgeon fatigue, precision, and skill acquisition. His highly cited work, including "Ergonomic analysis of robot-assisted and traditional laparoscopic procedures" (88 citations) and "Ergonomic analysis of laparoscopic and robotic surgical task performance at various experience levels" (56 citations), has provided critical insights into how surgical platforms influence task efficiency and physical strain. Cavallo also pioneered the use of Fundamentals of Laparoscopic Surgery (FLS) tasks as an ergonomic discriminator between robotic and laparoscopic surgery, a finding that has shaped training protocols. More recently, he has advanced the field of robotic urology, contributing to novel techniques such as combined robotic and open transperineal approaches for complex urethroplasty and single-port robot-assisted radical prostatectomy. His work on early continence and erectile function recovery following transvesical single-port prostatectomy reflects a commitment to improving postoperative quality of life. With a growing citation impact and a portfolio spanning ergonomics, skill transfer, and clinical outcomes, Cavallo is a key figure bridging surgical innovation and human factors research.

Research Focus

Key Achievements

6
H-Index
8
Papers
241
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Ergonomic analysis of robot-assisted and traditional laparoscopic procedures
88 citations · 2014
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Washington University in St. Louis, Icahn School of Medicine at Mount Sinai, Yale University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago