Manavendra Misra

Colorado School of Mines

Papers

1

Total Citations

28

H-Index

1

About

Manavendra Misra is a computer scientist whose work bridges the foundational challenges of graph theory with practical applications in object recognition. His most cited paper, "A graph isomorphism algorithm for object recognition" (1998), introduces a novel approach to matching structural patterns, a critical problem in computer vision and artificial intelligence. By developing an efficient algorithm for graph isomorphism, Misra contributed to the ability of machines to recognize objects by their relational structures rather than mere pixel data, a concept that remains influential in fields like robotics and image analysis. With 28 citations, this work has served as a reference point for subsequent research in pattern recognition and graph-based learning. Misra’s research underscores the importance of combinatorial algorithms in enabling machines to interpret complex visual environments, and his contributions continue to inspire students and researchers exploring the intersection of discrete mathematics and intelligent systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
28
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
A graph isomorphism algorithm for object recognition
28 citations · 1998
📈 Most Prolific Year: 1998 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Colorado School of Mines

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago