Vladimir Korzinov
Papers
1
Total Citations
17
H-Index
1
About
Vladimir Korzinov is a researcher whose work sits at the intersection of machine learning, patent analytics, and emerging robotics technologies. His most-cited paper, "A patent search strategy based on machine learning for the emerging field of service robotics" (2017, 17 citations), exemplifies his key contribution: developing novel computational methods to map and forecast technological landscapes. By applying machine learning to patent data, Korzinov has helped researchers and innovators identify trends and opportunities in rapidly evolving fields like service robotics. His approach offers a systematic, data-driven way to navigate the complex intellectual property terrain of cutting-edge technologies. While his citation count reflects a focused, early-stage impact, his work is notable for bridging the gap between artificial intelligence and innovation studies, providing tools that can accelerate R&D and strategic decision-making. Korzinov’s research is particularly valuable for students and professionals interested in how machine learning can be harnessed not just for technical tasks, but for understanding the very dynamics of technological progress itself.
Research Focus
Key Achievements
Top Papers
- 1