Independent Extraction

Independent Extraction is a singular academic contribution at the paper level that constitutes a distinct and self-contained advancement—such as a method, model, framework, theory, construct, dataset, task, or metric—within the broader domain of data extraction, distinguished by its autonomy from other interdependent components.

20

Publications

1.1K

Citations

56

Authors

31

Institutions

Publications per year

2017–2026

7

Authors

56

  1. AR
    Anup Rao

    University of Washington, United States

    2 publications · 99 citations

    2

    h-index

  2. AC
    Alexandre Chagnes

    Centre National de la Recherche Scientifique, France

    1 publications · 20 citations

    1

    h-index

  3. LG
    Leszek Gotfryd

    Łukasiewicz Research Network - Institute of Non-Ferrous Metals, Poland

    1 publications · 16 citations

    1

    h-index

  4. PT
    Petr Tichavský

    Czech Academy of Sciences, Institute of Information Theory and Automation, Czechia

    1 publications · 24 citations

    1

    h-index

  5. NR
    Niklas Ravaja

    University of Helsinki, Finland

    1 publications · 18 citations

    1

    h-index

1–5 of 56

Venues

  1. IEEE Transactions on Signal Processing

    2 publications · 74 citations

    2

    h-index

  2. Global Spine Journal

    1 publications · 83 citations

    1

    h-index

  3. SIAM Journal on Computing

    1 publications · 39 citations

    1

    h-index

  4. Sensors

    1 publications · 18 citations

    1

    h-index

  5. 1

    h-index

1–5