Matrix Reordering

Matrix Reordering is a computational method that belongs to the class of matrix transformation techniques, specifically distinguished by its purpose of permuting rows and columns of a matrix to reveal underlying structural patterns, enhance visual coherence, or improve computational efficiency in the context of graph visualization and system representation.

107

Publications

5.4K

Citations

222

Authors

131

Institutions

Publications per year

2017–2026

10

Authors

222

  1. JA
    J. A. Scott

    Rutherford Appleton Laboratory, United Kingdom

    6 publications · 163 citations

    6

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  2. JW
    Joseph W. H. Liu

    York University, Canada

    5 publications · 338 citations

    5

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  3. HD
    Horst D. Simon

    Lawrence Berkeley National Laboratory, United States

    4 publications · 295 citations

    4

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  4. JG
    John G. Lewis

    Boeing (United States), United States

    4 publications · 207 citations

    4

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  5. HS
    Harri Siirtola

    Tampere University, Finland

    3 publications · 145 citations

    3

    h-index

1–5 of 222

Venues

  1. SIAM Journal on Scientific Computing

    9 publications · 368 citations

    9

    h-index

  2. 6

    h-index

  3. ACM Transactions on Mathematical Software

    TOMS · 5 publications · 134 citations

    5

    h-index

  4. 4

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  5. 4

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1–5