Marek Nagy
Papers
5
Total Citations
232
H-Index
4
About
Marek Nagy is an emerging research voice at the intersection of advanced manufacturing technologies, artificial intelligence, and Industry 4.0 systems. His work centers on the integration of cyber-physical production networks, digital twin technologies, and generative AI within industrial and enterprise contexts, with particular attention to the challenges facing small- and medium-sized enterprises in adopting smart manufacturing solutions. Nagy's most influential contribution, a 2023 study examining barriers to Industry 4.0 adoption among European SMEs, has accumulated 121 citations, establishing him as a notable authority on the practical implementation challenges of intelligent manufacturing. His subsequent research has pushed into cutting-edge territory, exploring cognitive digital twins, Internet of Robotic Things architectures, extended reality metaverse environments, and multi-sensory simulation modeling — work that has collectively attracted significant scholarly attention within a short timeframe. A recurring theme across his publications is bridging theoretical frameworks with empirical economic analysis, most recently demonstrated in his investigation into the quantifiable financial impact of AI-driven predictive maintenance in Industry 4.0 settings. With over 230 total citations spanning just two years of intensive output, Nagy is rapidly positioning himself as a productive contributor to the evolving discourse on intelligent industrial systems and digital transformation economics.
Research Focus
Key Achievements
Top Papers
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