David Lieberman

City University of New York

Papers

1

Total Citations

6

H-Index

1

About

David Lieberman is an educator and researcher whose work centers on integrating computational tools and graphical programming into introductory engineering physics curricula. His most cited contribution, "LabVIEW Graphical Programming In An Introductory Engineering Physics Course" (2020, 6 citations), demonstrates his commitment to modernizing physics education by leveraging LabVIEW’s intuitive visual environment. This approach allows students to engage with real-time data acquisition, sensor interfacing, and simulation—bridging the gap between theoretical concepts and hands-on experimentation. While his citation count is modest, the practical impact of his work is significant: he provides a replicable framework for instructors seeking to enhance student comprehension and engagement in foundational physics courses. Lieberman’s research addresses a critical need in STEM education—making complex instrumentation accessible to beginners—and his methods have been adopted in classroom settings to foster computational thinking. By championing graphical programming at the introductory level, he helps demystify engineering tools and prepares students for more advanced laboratory work. His contributions are a valuable resource for educators aiming to revitalize traditional physics instruction through technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Labview Graphical Programming In An Introductory Engineering Physics Course
6 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: City University of New York

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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