Vahid Kayvanfar

Papers

Total Citations

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About

Vahid Kayvanfar is a leading researcher at the intersection of artificial intelligence, decision science, and sustainable systems. His primary research areas include AI-based decision support systems, smart agriculture, and operational optimization, with a strong focus on leveraging computational intelligence to address real-world challenges in food security and resource management. Kayvanfar’s most notable contribution is his highly cited 2023 paper, "Artificial intelligence-based decision support systems in smart agriculture: Bibliometric analysis for operational insights and future directions," which has already garnered 85 citations. This work provides a comprehensive bibliometric analysis, mapping the evolution and future trajectory of AI in precision farming—a critical area as global population growth demands a 70% increase in food production by 2050. By synthesizing thousands of studies, Kayvanfar identifies key technological drivers and operational gaps, offering a roadmap for researchers and policymakers. His work is distinguished by its forward-looking, data-driven approach, bridging the gap between theoretical AI models and practical agricultural deployment. With a growing citation footprint, Kayvanfar is recognized as a pivotal voice in the digital transformation of agriculture, inspiring a new generation of researchers to harness AI for global food security.