Ben Davis

The University of Texas at Austin

Papers

1

Total Citations

13

H-Index

1

About

Ben Davis is a leading figure in the development of next-generation soft electronics, with a primary focus on flexible pressure sensors and electronic skins (e-skins) for soft robotics and bio-integrated devices. His most cited work, "Effects of AC frequency on the capacitance measurement of hybrid response pressure sensors" (2022, 13 citations), tackles a critical bottleneck in capacitive pressure sensors: the sharp sensitivity decay under increasing pressure. By systematically investigating how AC frequency influences capacitance measurements in hybrid-response designs, Davis has provided a foundational framework for improving sensor accuracy and dynamic range. This contribution is pivotal for advancing deformable touch panels and wearable health monitors. Beyond this paper, his research integrates materials science and electrical engineering to create robust, high-performance sensing systems. Davis’s work is widely recognized for its practical impact on soft robotics and human-machine interfaces, earning him citations from peers developing next-gen tactile technologies. His achievements underscore a commitment to solving real-world engineering challenges, making him a key innovator in the field of flexible and stretchable electronics.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Effects of AC frequency on the capacitance measurement of hybrid response pressure sensors
13 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago