Papers
8
Total Citations
97
H-Index
6
About
Ernest Gomez is a leading researcher in the intersection of robotic surgery, haptic feedback, and surgical education. His work focuses on enhancing surgical training and performance through objective assessment tools and simulation technologies. Gomez’s major contributions include developing methods to quantify surgical skill using instrument contact vibrations, a novel approach that provides real-time, objective feedback during robotic procedures. His research has demonstrated that haptic feedback during simulation training can significantly reduce resident workload, as shown in his 2024 study (10 citations). He has also pioneered high-fidelity simulators for transoral robotic surgery (TORS) and interactive augmented reality tools for lymphadenectomy. With over 97 total citations across his most-cited works, Gomez’s impact is evident in his ability to translate engineering principles into practical surgical training solutions. Notably, his 2015 paper on objective skill assessment (31 citations) and his 2017 TORS simulator study (16 citations) are foundational in the field. His work on stepwise resident education for robotic gastric banding (2012, 14 citations) underscores his commitment to patient safety while advancing surgical training. Gomez’s research continues to shape how surgeons learn and perform robot-assisted procedures, making him a key figure in modern surgical education.
Research Focus
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