Mehdi Rajabi Asadabadi

Papers

Total Citations

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About

Dr. Mehdi Rajabi Asadabadi is a researcher whose work bridges decision science, big data analytics, and strategic management, with a particular focus on the innovative application of stratification theory. His most cited paper, "Letter: The concept of stratification and future applications" (2018, 18 citations), introduces a foundational framework for using stratification to structure complex, heterogeneous data, offering a novel lens for prioritizing resources and targets in uncertain environments. Building on this, his 2017 study "Targets of Unequal Importance Using the Concept of Stratification in a Big Data Environment" (11 citations) demonstrates how stratification can be operationalized to handle unequal priorities in large-scale data contexts, a critical contribution for fields like supply chain management and public policy. Though his citation counts are modest, his work is notable for its conceptual originality—proposing stratification as a versatile tool for decision-making under complexity. Dr. Asadabadi’s research is particularly impactful for students and practitioners seeking to integrate structured analytical methods with big data challenges, offering a clear, practical pathway for improving strategic outcomes in data-rich environments.