Muhammad Sohail Zafar

University of Management and Technology

Papers

2

Total Citations

4

H-Index

2

About

Muhammad Sohail Zafar is a mathematician whose research centers on the metric and partition dimensions of graphs—a field with profound implications for computer science, network design, and robotics. His work explores how graph theory can solve real-world problems in optimization, intelligent systems, and image processing. Zafar’s most cited papers, each garnering 2 citations, delve into the fractional metric dimension of generalized prism graphs and the 2-partition dimension of rotationally-symmetric graphs. These studies extend foundational concepts introduced by Arumugam and Estrado-Moreno, offering new insights into graph labeling and structure. By analyzing rotationally symmetric graphs, Zafar contributes to efficient robot navigation and network designing, while his work on fractional metric dimensions enhances theoretical understanding of graph connectivity. His research bridges abstract mathematics and practical applications, making him a notable figure in combinatorial graph theory. Zafar’s contributions, though early in citation impact, are building blocks for future advances in network optimization and intelligent systems, reflecting a promising trajectory in applied discrete mathematics.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Fractional metric dimension of generalized prism graph
2 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Management and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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