Mayank Yuvaraj

Papers

Total Citations

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About

Mayank Yuvaraj is an emerging voice at the intersection of library science and advanced robotics, whose work maps the transformative potential of automation in information management. His most cited study, “Mapping of the selected literature on robotic technology applications in libraries based on Scopus database: a subjective computational review” (2023), has garnered 8 citations and provides a critical, systematic overview of how robotic technologies—from automated shelving to AI-driven reference services—are reshaping modern libraries. By synthesizing a fragmented body of literature, Yuvaraj offers librarians and technologists a clear roadmap for adoption and implementation, highlighting both opportunities and challenges in this niche but rapidly evolving field. His research is notable for its methodological rigor, combining bibliometric analysis with subjective computational review to identify key trends and gaps. As one of the few scholars systematically bridging robotics and library science, Yuvaraj’s work is foundational for practitioners seeking to future-proof their institutions. His contributions are especially relevant as libraries worldwide grapple with digital transformation, making him a valuable resource for students and researchers interested in the sociotechnical implications of automation in public and academic spaces.