George Nistratov
Papers
2
Total Citations
18
H-Index
2
About
George Nistratov is a researcher specializing in risk prediction, probabilistic modeling, and the reliability of complex automated systems, with a particular focus on space applications. His work centers on developing analytical frameworks to anticipate and mitigate engineering failures before they occur. Nistratov’s most cited paper, “Probabilistic Modeling of Robotic and Automated Systems Operating in Cosmic Space” (2018, 11 citations), introduces a probabilistic approach to modeling robotic and automated systems in space, enabling early detection of design flaws in subsystems and elements. This contribution helps reduce costly errors during the conceptual and design phases of space missions. His subsequent work, “Analytical Risks Prediction. Rationale of System Preventive Measures for Solving Quality and Safety Problems” (2020, 7 citations), extends these methods to broader quality and safety challenges, emphasizing preventive measures grounded in risk analysis. Though his citation counts are modest, Nistratov’s research provides foundational tools for enhancing the robustness of space-based automation and risk management, offering practical value for engineers and project managers in high-stakes environments.
Research Focus
Key Achievements
Top Papers
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