Papers

1

Total Citations

54

H-Index

1

About

Valerie Poser is a leading researcher at the intersection of industrial digitalization and the fourth industrial revolution (Industry 4.0). Her work focuses on the practical implementation of Digital Twins (DTs)—real-time digital models that enable self-diagnosis, self-optimization, and self-configuration in manufacturing systems. Poser’s most cited paper, “Industrial digitalization in the industry 4.0 era: Classification, reuse and authoring of digital models on Digital Twin platforms” (2022, 54 citations), addresses a critical gap: how to make DTs accessible beyond established, resource-rich firms. She proposes frameworks for classifying, reusing, and authoring digital models, democratizing advanced automation for smaller enterprises. Her contributions are pivotal in bridging the gap between theoretical I4.0 concepts and scalable, real-world applications. Poser’s work has been widely recognized for its practical impact, earning her a reputation as a key voice in sustainable digital transformation. For students and researchers, her research offers a roadmap for navigating the complexities of digital twin adoption, ensuring that the benefits of Industry 4.0 are not reserved for the few.

Research Focus

Key Achievements

1
H-Index
1
Papers
54
Total Citations
54
Avg Citations/Paper
🏆 Most Cited Paper
Industrial digitalization in the industry 4.0 era: Classification, reuse and authoring of digital models on Digital Twin platforms
54 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: German Research Centre for Artificial Intelligence

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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