Michael Onyango Ojiema

Masinde Muliro University of Science and Technology

Papers

Total Citations

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About

Michael Onyango Ojiema is a rising researcher in the field of graph theory and network science, with a focused expertise in distance-based graph invariants and their applications to complex systems. His work centers on developing novel metric parameters—specifically fault-tolerant partition resolvability and local fractional strong metric dimension—to analyze the structural resilience and navigational properties of networks. Ojiema’s major contributions include pioneering the application of fractional variants of metric dimension to complex networks, such as cyclic networks, which has direct implications for sensor networking, robot navigation, and integer programming problems. His most-cited paper, "Fault-Tolerant Partition Resolvability of Cyclic Networks" (2021), has garnered 7 citations and explores how graph invariants can model the interconnection of devices in mobile web applications. A subsequent work on local fractional strong metric dimension (2023) extends these ideas to networks exhibiting exceptional topological features, a quintessential area in modern network research. Ojiema’s research is notable for bridging abstract graph theory with practical challenges in network design and optimization, making his work valuable for students and researchers seeking robust frameworks for analyzing complex, interconnected systems.