Papers
4
Total Citations
16
H-Index
3
About
Ebenezer Bonyah is a mathematician whose work sits at the intersection of graph theory, network science, and applied topology. His primary research focuses on the metric dimension of networks—a powerful tool for solving distance-based problems in telecommunications, robotics, computer networking, and even chemistry. Bonyah has made significant contributions by extending classical metric dimension theory into fractional and fault-tolerant frameworks, enabling more robust and precise network analysis. His 2022 paper on "Studies of Connected Networks via Fractional Metric Dimension" (7 citations) introduces a refined approach to studying network structure, while his work on "Computing LF-Metric Dimension of Generalized Gear Networks" (4 citations) advances the understanding of distance parameters in specialized network topologies. Bonyah has also explored convex polytope networks, demonstrating their utility in anti-tracking systems due to their inherent stability and resilience. His 2022 paper on "Fault Tolerant Partition Resolvability in Convex Polytopes" (3 citations) and "Local Fractional Locating Number of Convex Polytope Networks" (2 citations) further cement his reputation for developing mathematically rigorous frameworks with real-world applications in robot navigation, sonar models, and integer programming. Bonyah’s work continues to shape how researchers model and optimize complex networked systems.
Research Focus
Key Achievements
Top Papers
- 1Studies of Connected Networks via Fractional Metric Dimension7 citations · 2022
- 2Computing LF-Metric Dimension of Generalized Gear Networks4 citations · 2021
- 3Fault Tolerant Partition Resolvability in Convex Polytopes3 citations · 2022
- 4Local Fractional Locating Number of Convex Polytope Networks2 citations · 2022