Reza Kazemi Matin
Papers
1
Total Citations
13
H-Index
1
About
Reza Kazemi Matin is a leading researcher at the intersection of operations research, data envelopment analysis (DEA), and frontier estimation, with a particular focus on nonconvex and ratio-based models. His work has significantly advanced the theoretical and applied understanding of performance measurement in complex, modern systems, such as the Internet of Things (IoT) and Industry 5.0. Matin’s most-cited paper, "Double hedonic price-characteristics frontier estimation for IoT service providers in the industry 5.0 era: A nonconvex perspective accommodating ratios" (2024, 13 citations), exemplifies his innovative approach by integrating hedonic pricing with nonconvex frontier methods to evaluate service providers in dynamic, data-intensive environments. This contribution is notable for its practical relevance, offering a robust framework for assessing efficiency when traditional convex assumptions fail. Matin’s broader research portfolio includes developing novel DEA models that handle ratio data and nonconvex production sets, addressing critical gaps in efficiency analysis. His work is widely recognized for its methodological rigor and real-world applicability, making him a key figure in advancing performance evaluation for emerging technologies and sustainable industrial paradigms.
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Top Papers
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