Parameterized Complexity

Parameterized Complexity is a computational framework within complexity theory that classifies computational problems based on their inherent difficulty with respect to multiple input parameters, rather than solely input size, by isolating a parameter to measure fixed-parameter tractability.

346

Publications

18.9K

Citations

404

Authors

215

Institutions

Publications per year

2017–2026

70

Authors

404

  1. MR
    Michael R. Fellows

    University of Victoria, Canada

    26 publications · 5.3K citations

    21

    h-index

  2. DL
    Daniel Lokshtanov

    University of Bergen, Norway

    23 publications · 1.4K citations

    19

    h-index

  3. RN
    Rolf Niedermeier

    Technische Universität Berlin, Germany

    26 publications · 1.5K citations

    18

    h-index

  4. SS
    Saket Saurabh

    Institute of Mathematical Sciences, India

    27 publications · 1.4K citations

    18

    h-index

  5. FV
    Fedor V. Fomin

    University of Bergen, Norway

    22 publications · 894 citations

    17

    h-index

1–5 of 404

Venues

  1. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 25 publications · 746 citations

    17

    h-index

  2. Theoretical Computer Science

    23 publications · 1.2K citations

    15

    h-index

  3. Algorithmica

    16 publications · 494 citations

    14

    h-index

  4. SIAM Journal on Computing

    15 publications · 1.7K citations

    13

    h-index

  5. arXiv (Cornell University)

    Repository · 15 publications · 236 citations

    11

    h-index

1–5