Phillip A. Laplante

Pennsylvania State University

Papers

5

Total Citations

102

H-Index

4

About

Phillip A. Laplante is a leading authority in real-time imaging systems, software engineering, and the professional ethics of emerging technologies. His foundational work, *Real-Time Imaging: Theory, Techniques, and Application* (1996, 44 citations), established critical frameworks for deadline-driven image processing in robotics, industrial inspection, and medical systems. Laplante’s research bridges technical rigor with societal impact, as seen in his influential article on integrating Artificial Intelligence, the Internet of Things, and blockchain for precise problem-solving (2018, 28 citations). He also edited the comprehensive *Encyclopedia of Image Processing* (2018, 21 citations), a go-to resource covering fundamentals from color theory to forgery detection. Beyond imaging, Laplante explored fault-tolerant computing for self-repairing space systems (2005, 7 citations), contributing to NASA’s long-duration mission planning. A prolific scholar and educator, Laplante is known for demystifying complex systems while championing professionalism in technology. His work consistently emphasizes practical, measurable solutions—whether in real-time constraints or ethical AI deployment—making him a vital voice for students and practitioners navigating the intersection of hardware, software, and human values.

Research Focus

Key Achievements

4
H-Index
5
Papers
102
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Real-Time Imaging: Theory, Techniques, and Application
44 citations · 1996
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Pennsylvania State University

Top Papers

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    Real-time imaging
    2 citations · 2004

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago