Ismael Viejo
Papers
1
Total Citations
54
H-Index
1
About
Dr. Ismael Viejo is a leading researcher at the intersection of industrial digitalization and the Fourth Industrial Revolution (Industry 4.0). His primary focus lies in advancing Digital Twin (DT) technology—real-time virtual models that enable self-diagnosis, self-optimization, and self-configuration in manufacturing systems. In his highly cited 2022 work (54 citations), Viejo tackles a critical barrier to Industry 4.0 adoption: the classification, reuse, and authoring of digital models on DT platforms. He argues that while DTs promise transformative efficiency, their benefits often remain inaccessible to smaller enterprises. His contributions provide a structured framework for democratizing DT deployment, making advanced automation more scalable and equitable. Viejo’s research bridges the gap between theoretical potential and practical implementation, offering actionable pathways for industries to transition from static automation to intelligent, self-regulating systems. His work is essential reading for engineers and researchers seeking to understand how digital twins can be systematically designed, shared, and adapted across diverse manufacturing contexts. By addressing both technical and accessibility challenges, Viejo is shaping a more inclusive future for industrial digitalization.
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Top Papers
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