Makcim Egorov

Papers

Total Citations

H-Index

About

Makcim Egorov is a forward-looking researcher whose work sits at the critical intersection of artificial intelligence, risk analysis, and digital transformation in the context of shifting global geopolitics. His most cited paper, "Features of using artificial intelligence methods for risk analysis" (2022), has garnered 3 citations and stands as a foundational contribution to understanding how AI can be leveraged to navigate the uncertainties of a multipolar world. Egorov’s research uniquely addresses the pressing need for state and economic entities to integrate digital transformation into their core operations, offering practical frameworks for deploying AI in risk assessment. By focusing on the strategic application of machine learning and predictive analytics, he provides actionable insights for policymakers and business leaders facing complex, decentralized global dynamics. His work is particularly notable for bridging theoretical AI methods with real-world governance and economic challenges, making him a key voice in discussions on national security, economic resilience, and technological sovereignty. Egorov’s contributions are essential reading for students and researchers interested in the future of AI-driven decision-making in an increasingly fragmented international landscape.