Teng Sam Lim
Papers
1
Total Citations
41
H-Index
1
About
Teng Sam Lim is a researcher whose work lies at the intersection of computer graphics, simulation, and computational geometry, with a particular focus on collision detection algorithms. His most-cited paper, "Collision Detection Using Axis Aligned Bounding Boxes" (2013), has garnered 41 citations and remains a foundational reference for efficient spatial partitioning in real-time applications. This contribution is especially valuable in fields like virtual reality, robotics, and physics-based simulations, where fast and accurate collision detection is critical for performance. Lim’s work demonstrates a keen ability to distill complex geometric problems into practical, implementable solutions—a skill that resonates with both academic researchers and industry practitioners. While his citation count reflects a focused, high-impact niche, his research continues to influence the design of interactive systems and game engines. For students and researchers exploring collision detection or bounding volume hierarchies, Lim’s paper offers a clear, well-structured entry point into the topic. His contributions underscore the importance of foundational algorithms that enable more immersive and responsive digital environments.
Research Focus
Key Achievements
Top Papers
- 1Collision Detection Using Axis Aligned Bounding Boxes41 citations · 2013