Irina Lapenkova
Papers
1
Total Citations
3
H-Index
1
About
Irina Lapenkova is a researcher at the forefront of examining the intersection of artificial intelligence, robotics, and regulatory frameworks within transportation, logistics, and supply chain management. Her work critically analyzes how emerging technologies are reshaping operational efficiencies and governance models in these sectors. Lapenkova’s most-cited paper, "Regulation for artificial intelligence and robotics in transportation, logistics and supply chain management" (2018), has garnered 3 citations, establishing a foundational perspective on the legal and ethical challenges posed by automation in global supply chains. This contribution is notable for its early exploration of compliance and risk mitigation strategies as AI-driven systems become integral to logistics. While her citation count reflects a niche but growing field, her research offers essential insights for policymakers and industry leaders navigating the complexities of technological adoption. Lapenkova’s work underscores the critical need for adaptive regulatory approaches that balance innovation with safety and accountability, making her a key voice in discussions on the future of automated transport and supply chain governance.
Research Focus
Key Achievements
Top Papers
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