Florian Kreuchauff
Papers
1
Total Citations
17
H-Index
1
About
Florian Kreuchauff is a leading researcher at the intersection of innovation economics, patent analysis, and emerging technologies. His work is distinguished by pioneering the use of machine learning to map and forecast technological trajectories, particularly in the rapidly evolving domain of service robotics. His most-cited paper, "A patent search strategy based on machine learning for the emerging field of service robotics" (2017, 17 citations), introduces a novel, data-driven methodology that moves beyond traditional keyword-based patent searches. By applying supervised learning to patent classification codes, Kreuchauff created a robust, replicable framework for identifying and tracking the development of nascent technologies—a critical tool for policymakers, firms, and scholars. This contribution has been instrumental in enabling more accurate assessments of innovation landscapes. Beyond this, his broader research explores how technological change shapes industrial structures and economic growth, offering deep insights into the dynamics of knowledge diffusion. Kreuchauff’s work stands out for its methodological rigor and practical relevance, making him a key voice in understanding how data science can illuminate the future of technology and its economic impact.
Research Focus
Key Achievements
Top Papers
- 1