Shuddhadeb Ray
Papers
3
Total Citations
107
H-Index
3
About
Shuddhadeb Ray is a leading researcher in surgical ergonomics and minimally invasive surgical training, whose work has significantly advanced our understanding of how surgeons interact with laparoscopic and robotic platforms. His most-cited study, "Ergonomic analysis of laparoscopic and robotic surgical task performance at various experience levels" (56 citations), systematically compared the physical demands and efficiency of these technologies across novice and expert surgeons, revealing critical insights into operator fatigue and workflow optimization. Ray further demonstrated the precision and speed advantages of robotic systems over traditional laparoscopy in a 2017 paper (39 citations), providing quantitative benchmarks for surgical performance. His research on skill transfer and priming across platforms (12 citations) has informed training curricula by showing how experience on one system can enhance performance on another. Collectively, Ray’s work bridges engineering, human factors, and surgical education, offering evidence-based guidance for improving both surgeon well-being and patient outcomes. His findings are widely cited in the design of next-generation surgical interfaces and training protocols.
Research Focus
Key Achievements
Top Papers
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