Papers

7

Total Citations

210

H-Index

5

About

Amod Jog is a leading researcher in the field of robotic surgery training and objective skills assessment. His work focuses on developing rigorous, data-driven methodologies to evaluate and enhance surgical proficiency, particularly in otolaryngology and urology. Jog’s major contributions include pioneering the use of automated motion and video analysis to objectively measure surgical skill, moving beyond subjective evaluations. His most cited paper, “Objective measures for longitudinal assessment of robotic surgery training” (65 citations), established a framework for tracking trainee progress over time. He further advanced the field by demonstrating how to discriminate between operational and surgical skills in “Assessing system operation skills in robotic surgery trainees” (47 citations). Jog also contributed to the development of the Surgical Assistant Workstation (SAW), an open-source software framework for computer-assisted surgery. His work on integrating task information for dexterous skill assessment has informed the design of simulation environments. With a cumulative citation count exceeding 200, Jog’s research has been instrumental in creating validated, objective training regimens that improve patient safety and surgical education.

Research Focus

Key Achievements

5
H-Index
7
Papers
210
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Objective measures for longitudinal assessment of robotic surgery training
65 citations · 2011
📈 Most Prolific Year: 2011 (5 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: Johns Hopkins University, Intuitive Surgical (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago