Structural Document Analysis

Structural Document Analysis is a methodological framework within document analysis that systematically identifies, organizes, and interprets the formal components and hierarchical layout of documents to infer their functional and syntactic structure.

78

Publications

3K

Citations

194

Authors

85

Institutions

Publications per year

2017–2026

4

Authors

194

  1. TK
    Thomas Kieninger

    German Research Centre for Artificial Intelligence, Germany

    3 publications · 127 citations

    3

    h-index

  2. AD
    Andreas Dengel

    German Research Centre for Artificial Intelligence, Germany

    2 publications · 95 citations

    2

    h-index

  3. AA
    Akira Amano

    Ritsumeikan University, Japan

    2 publications · 35 citations

    2

    h-index

  4. TW
    Toyohide Watanabe

    Nagoya University, Japan

    2 publications · 57 citations

    2

    h-index

  5. QL
    Qin Luo

    Nagoya University, Japan

    2 publications · 57 citations

    2

    h-index

1–5 of 194

Venues

  1. Information Processing & Management

    9 publications · 351 citations

    9

    h-index

  2. 4

    h-index

  3. Expert Systems with Applications

    3 publications · 120 citations

    3

    h-index

  4. International Journal on Digital Libraries

    2 publications · 44 citations

    2

    h-index

  5. Machine Vision and Applications

    2 publications · 57 citations

    2

    h-index

1–5