Matthew Jones

St. George's University, Willamette University

Papers

Total Citations

H-Index

About

Matthew Jones is a forward-thinking researcher whose work spans the critical intersection of human factors in surgery and the future of autonomous transportation. His most impactful contributions include a landmark 2024 systematic review and meta-analysis on the NASA Task Load Index, comparing cognitive workload in robot-assisted versus conventional laparoscopic surgery. This study, already garnering significant attention, provides essential benchmarks for optimizing surgical ergonomics and patient safety. In parallel, Jones addresses a fundamental challenge in self-driving technology with his 2023 paper on Vehicle-to-Everything (V2X) communication. By demonstrating how roadside units can provide over-the-horizon object awareness, he tackles the critical limitation of sensor-based perception in automated vehicles—enabling them to "see" beyond their immediate line of sight. This work is foundational for creating truly cooperative and safe autonomous systems. With a growing citation record that underscores the timeliness and relevance of his research, Jones is establishing himself as a versatile innovator, adept at applying rigorous quantitative methods to solve real-world problems in both healthcare and transportation engineering.