Graph Theory and Algorithms
Graph Theory and Algorithms is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 12k research works in it since 1955. 9.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on graph matching, graph processing, and pattern recognition techniques using distributed computing and parallel algorithms. It covers topics such as subgraph isomorphism, large-scale graphs, graph analytics, and spectral techniques for graph analysis.
- Graph Matching
- Graph Processing
- Pattern Recognition
- Distributed Computing
- Graph Analytics
- Subgraph Isomorphism
- Large-scale Graphs
- Graph Database
- Parallel Algorithms
- Spectral Techniques
- Research works
- 12k fractional, since 1955
- In the world top 10%
- 1.2k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +43% the tick is no change
- Largest producer
China
49% of the 10 largest, 2022-now
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