Nsisong Louis Eyo-Udo

University of Ulster

Papers

3

Total Citations

88

H-Index

2

About

Nsisong Louis Eyo-Udo is an emerging researcher whose work sits at the intersection of artificial intelligence, supply chain management, and industrial optimization. His research focuses on harnessing cutting-edge technologies — including AI, automation, and smart warehousing systems — to drive efficiency, sustainability, and strategic innovation across complex supply chains, with a particular emphasis on the energy and oil and gas sectors. Eyo-Udo's most influential contribution, "Leveraging Artificial Intelligence for Enhanced Supply Chain Optimization" (2024), has rapidly accumulated 80 citations, signaling its significant resonance within the field. Through systematic literature review and content analysis, the study offers a rigorous examination of how AI integration reshapes operational and strategic supply chain paradigms. His follow-up work on automation and AI in oil and gas supply chains (2025) further extends this trajectory, while his earlier research on smart warehousing solutions (2021) demonstrates a sustained commitment to energy sector logistics innovation. For students and researchers exploring digital transformation in industrial supply chains, Eyo-Udo's body of work provides valuable frameworks and insights, reflecting a growing scholarly voice dedicated to making complex industries smarter, leaner, and more sustainable through technological advancement.

Research Focus

Key Achievements

2
H-Index
3
Papers
88
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Leveraging artificial intelligence for enhanced supply chain optimization
80 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Ulster

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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