Andrei Rudskoy

Peter the Great St. Petersburg Polytechnic University

Papers

Total Citations

H-Index

About

Andrei Rudskoy is a researcher focused on the intersection of innovation economics and technological forecasting. His work centers on developing quantitative models to measure and predict the rate of technical progress, a critical area for understanding economic growth and industrial evolution. His most-cited paper, "Information Model for Calculating the Rate of Technical Progress" (2022), introduces a novel framework that uses information theory to quantify how quickly technology advances, bridging gaps between engineering data and economic analysis. This contribution offers a systematic approach to assessing innovation dynamics, with potential applications in policy-making and R&D strategy. While his citation count is still growing, Rudskoy’s work stands out for its interdisciplinary rigor, combining concepts from information science, economics, and technology management. His research is particularly relevant for students and scholars seeking to model complex technological change, providing a foundation for future studies on the drivers and impacts of innovation.