Larisa Wells

Papers

1

Total Citations

2

H-Index

1

About

Dr. Larisa Wells is a leading researcher in model-based systems engineering (MBSE) and autonomous systems architecture, with a particular focus on Modular Open Systems Approach (MOSA) principles. Her most cited work, "Application of the Autonomous Ground Vehicle Reference Architecture to MBSE" (2023), introduces a groundbreaking meta-model framework that bridges the gap between autonomous ground vehicle design and formal systems engineering methodologies. This contribution provides engineers with a standardized reference architecture, enabling higher quality system design and improved interoperability in autonomous vehicle development. While her citation count is still building—with 2 citations to date—the foundational nature of her work positions it as a critical resource for future MBSE and autonomous systems research. Dr. Wells’ research addresses the pressing need for structured, reusable design patterns in complex autonomous systems, making her a rising voice in the systems engineering community. Her work is particularly valuable for students and researchers seeking to apply rigorous engineering frameworks to emerging autonomous technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Application of the Autonomous Ground Vehicle Reference Architecture to MBSE
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago