Rakesh Kumar Sharma
Papers
2
Total Citations
5
H-Index
2
About
Rakesh Kumar Sharma is a versatile researcher whose work spans the intersection of advanced technology and healthcare. His primary research areas include artificial intelligence applications in supply chain management, as well as congenital craniofacial anomalies. In his 2025 study on supply chain simplification, Sharma explores how AI technologies—including machine learning, deep learning, neural networks, and expert vision—can streamline complex logistics processes, offering a forward-looking framework for operational efficiency. His work on cleft lip and palate provides a comprehensive literature review and outlines recent advances in managing this common congenital condition, addressing challenges in speech, hearing, dental health, and psychosocial well-being. Though early in citation impact, with his most-cited paper garnering 3 citations, Sharma’s dual focus demonstrates a commitment to applying computational innovation to real-world problems while also contributing to clinical knowledge. His research bridges engineering and medicine, making him a notable emerging voice for students and researchers interested in AI-driven operational solutions and pediatric healthcare improvements.
Research Focus
Key Achievements
Top Papers
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- 2