Computational Linear Algebra

Computational Linear Algebra is a branch of computational mathematics that focuses on the development and analysis of numerical algorithms for solving linear algebra problems, distinguished by its emphasis on efficiency, stability, and scalability in the context of large-scale scientific computing and data-intensive applications.

1.4K

Publications

121.6K

Citations

2.6K

Authors

822

Institutions

Publications per year

2017–2026

199

Authors

2.6K

  1. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    92 publications · 10.9K citations

    45

    h-index

  2. JD
    James Demmel

    University of California, Berkeley, United States

    27 publications · 2.3K citations

    22

    h-index

  3. RA
    Robert A. Geijn

    The University of Texas at Austin, United States

    26 publications · 1.5K citations

    18

    h-index

  4. NJ
    Nicholas J. Higham

    University of Manchester, United Kingdom

    18 publications · 1.3K citations

    17

    h-index

  5. ES
    Enrique S. Quintana–Ort́ı

    Universitat Jaume I, Spain

    19 publications · 1K citations

    16

    h-index

1–5 of 2.6K

Venues

  1. ACM Transactions on Mathematical Software

    TOMS · 78 publications · 11.1K citations

    40

    h-index

  2. SIAM Journal on Matrix Analysis and Applications

    39 publications · 5.5K citations

    28

    h-index

  3. Mathematics of Computation

    MCOM · 28 publications · 9.1K citations

    26

    h-index

  4. Choice Reviews Online

    CRO · 30 publications · 3.4K citations

    24

    h-index

  5. SIAM Journal on Scientific Computing

    27 publications · 4.4K citations

    23

    h-index

1–5