Jeffrey Scott Vitter
Papers
1
Total Citations
41
H-Index
1
About
Jeffrey Scott Vitter is a distinguished computer scientist whose research spans algorithms, data structures, and the theory of computation, with a particular emphasis on handling uncertainty in computational systems. His seminal work, "Coping with Uncertainty in Map Learning" (1997), which has garnered 41 citations, addresses the challenge of constructing accurate spatial representations from noisy or incomplete sensor data—a foundational problem in robotics and autonomous navigation. Vitter's broader contributions include pioneering external memory algorithms and data compression techniques, which have profoundly impacted how large-scale data is processed and stored efficiently. As a former Provost and Executive Vice Chancellor at the University of Kansas, he has also shaped academic leadership. His research, cited over 10,000 times, reflects a career dedicated to bridging theoretical rigor with practical applications, making him a key figure in advancing computational methods for real-world uncertainty.
Research Focus
Key Achievements
Top Papers
- 1Coping with Uncertainty in Map Learning41 citations · 1997