Muhammad Kamran Aslam
Papers
1
Total Citations
9
H-Index
1
About
Muhammad Kamran Aslam is a mathematician whose research focuses on the intersection of graph theory, network science, and applied combinatorics. His work centers on the metric dimension of networks—a fundamental distance-based parameter critical for solving problems in robotics, navigation, and chemical structure analysis. Aslam’s major contribution lies in advancing the theory of fractional metric dimension, a recent weighted generalization of the classical metric dimension and an extension of local fractional concepts. His highly cited 2021 paper, “Bounds of Fractional Metric Dimension and Applications with Grid-Related Networks,” has garnered 9 citations and demonstrates how these theoretical bounds can be applied to real-world network topologies, including grid-like structures common in sensor networks and chemical compounds. By establishing tight bounds for this parameter, Aslam provides tools for optimizing location detection and resource allocation in complex systems. His work bridges pure mathematical theory with practical applications, offering researchers and students a deeper understanding of how network structure influences navigational efficiency. Aslam’s contributions are particularly valuable for those exploring distance-related problems in emerging technologies, making his research a cornerstone for future developments in network analysis and robotics.
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Top Papers
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