M. Chris Monica

Papers

1

Total Citations

5

H-Index

1

About

M. Chris Monica is a mathematician whose research centers on graph theory, with a particular focus on metric dimension and locating sets in graphs. Her work explores how to uniquely identify vertices within a graph using distance-based coordinates, a fundamental problem with applications in network theory, robot navigation, and sensor placement. Her most-cited paper, "Landmarks in Binary Tree Derived Architectures" (2011), examines locating sets in structures derived from binary trees, providing key insights into how minimal sets of landmarks can distinguish all vertices in these architectures. This work has garnered 5 citations and remains a reference for researchers studying metric dimension in tree-based networks. Monica’s contributions help advance the theoretical understanding of graph identification problems, offering tools that are both mathematically elegant and practically relevant. Her research is particularly valuable for students and researchers exploring combinatorial optimization and discrete mathematics, as it bridges abstract graph theory with real-world applications in location detection and network design.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Landmarks in Binary Tree Derived Architectures.
5 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago