Muhammad Javaid
Papers
9
Total Citations
74
H-Index
5
About
Muhammad Javaid is a leading researcher in the mathematical analysis of networks, with a primary focus on metric dimension theory and its applications. His work centers on developing and sharpening distance-based parameters—particularly fractional, local, and fault-tolerant metric dimensions—to solve fundamental problems in robotics, navigation, computer networking, and chemical structure formation. Javaid’s major contributions include establishing sharp bounds for local fractional metric dimensions in connected networks and convex polytopes, and extending these concepts to grid-related and Sierpinski networks. His most cited paper, “Sharp Bounds of Local Fractional Metric Dimensions of Connected Networks” (2020), has garnered 34 citations, reflecting its significance in the field. He has also advanced the understanding of dominant metric dimensions and fault-tolerant resolving sets, with recent work in 2024 continuing to push boundaries. Javaid’s research provides essential tools for optimizing robot positioning, minimizing resource consumption, and characterizing network properties, making his contributions highly influential in both theoretical graph theory and practical applications across computer science and chemistry.
Research Focus
Key Achievements
Top Papers
- 1Sharp Bounds of Local Fractional Metric Dimensions of Connected Networks34 citations · 2020
- 2
- 3Computing dominant metric dimensions of certain connected networks7 citations · 2024
- 4Studies of Connected Networks via Fractional Metric Dimension7 citations · 2022
- 5
- 6Computing LF-Metric Dimension of Generalized Gear Networks4 citations · 2021
- 7Studies of Multilevel Networks via Fault-Tolerant Metric Dimensions4 citations · 2022
- 8Local Fractional Locating Number of Convex Polytope Networks2 citations · 2022
- 9