Danielle Fraser

Papers

1

Total Citations

3

H-Index

1

About

Danielle Fraser is a pioneering researcher at the intersection of robotics, sensory science, and food quality assessment. Her most notable contribution, the development of the "FIZZeye-Robot," demonstrates a novel application of robotic technology to evaluate the quality of sparkling wine—a project that has garnered attention for its creativity and interdisciplinary approach. This work, published in 2014, has earned 3 citations and highlights Fraser’s ability to bridge engineering with consumer experience. While her citation count is modest, her research area—robotic sensory analysis—is niche and emerging, positioning her as an early innovator in a field that blends automation with gastronomy. Fraser’s work suggests a broader interest in how robots can enhance human perception and quality control in food and beverage industries. Her achievements underscore a commitment to making technology accessible and engaging, as seen in the playful yet rigorous methodology of the FIZZeye-Robot. For students and researchers, Fraser exemplifies how unconventional questions can lead to impactful, cross-disciplinary discoveries.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
What a robot can tell you about the quality of your sparkling wine: share a glass with FIZZeye-Robot
3 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 8

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago