Reduced-order Finite Elements

Reduced-Order Finite Elements is a computational modeling framework within finite element analysis that reduces the dimensionality of the discrete solution space by projecting the system onto a lower-dimensional subspace while preserving essential physical and mathematical characteristics of the original high-fidelity model.

405

Publications

17.8K

Citations

890

Authors

383

Institutions

Publications per year

2017–2026

126

Authors

890

  1. ZL
    Zhendong Luo

    North China Electric Power University, China

    19 publications · 554 citations

    16

    h-index

  2. RD
    Romanus Dyczij‐Edlinger

    Saarland University, Germany

    7 publications · 138 citations

    7

    h-index

  3. OF
    Ortwin Farle

    Saarland University, Germany

    7 publications · 138 citations

    7

    h-index

  4. GR
    Gianluigi Rozza

    Scuola Internazionale Superiore di Studi Avanzati, Italy

    6 publications · 229 citations

    6

    h-index

  5. AC
    A.C. Cangellaris

    University of Illinois Urbana-Champaign, United States

    6 publications · 181 citations

    6

    h-index

1–5 of 890

Venues

  1. 33

    h-index

  2. 13

    h-index

  3. Finite Elements in Analysis and Design

    13 publications · 414 citations

    13

    h-index

  4. Computational Mechanics

    13 publications · 556 citations

    12

    h-index

  5. IEEE Transactions on Magnetics

    11 publications · 214 citations

    10

    h-index

1–5