Spectral Graph Theory

Spectral Graph Theory is a branch of graph theory that studies the structural properties of graphs through the eigenvalues and eigenvectors of matrices associated with the graph, such as the adjacency or Laplacian matrix.

1.2K

Publications

78.4K

Citations

2K

Authors

886

Institutions

Publications per year

2017–2026

344

Authors

2K

  1. DC
    Dragoš Cvetković

    University of Belgrade, Serbia

    19 publications · 1.7K citations

    16

    h-index

  2. İG
    İvan Gutman

    University of Kragujevac, Serbia

    21 publications · 669 citations

    15

    h-index

  3. HL
    Huiqiu Lin

    East China University of Science and Technology, China

    18 publications · 566 citations

    15

    h-index

  4. XL
    Xiaogang Liu

    Northwestern Polytechnical University, China

    14 publications · 444 citations

    13

    h-index

  5. KC
    Kinkar Chandra Das

    Sungkyunkwan University, South Korea

    18 publications · 513 citations

    13

    h-index

1–5 of 2K

Venues

  1. Linear Algebra and its Applications

    178 publications · 7K citations

    43

    h-index

  2. Linear and Multilinear Algebra

    49 publications · 1.9K citations

    24

    h-index

  3. arXiv (Cornell University)

    Repository · 44 publications · 3K citations

    22

    h-index

  4. Discrete Mathematics

    39 publications · 1.5K citations

    21

    h-index

  5. Journal of Combinatorial Theory Series B

    20 publications · 1.1K citations

    17

    h-index

1–5