Normalization Rules

Normalization Rules is a formal framework within the domain of Serialization Labeling that specifies systematic criteria for converting heterogeneous data representations into a consistent, standardized format to ensure interoperability, comparability, and computational efficiency across labeling processes.

150

Publications

11.9K

Citations

387

Authors

207

Institutions

Publications per year

2017–2026

32

Authors

387

  1. EF
    E. F. Codd

    IBM (United States), United States

    3 publications · 824 citations

    3

    h-index

  2. MZ
    Michael Zwicky Hauschild

    Technical University of Denmark, Denmark

    3 publications · 368 citations

    3

    h-index

  3. JR
    Javier Ruiz‐Castillo

    Universidad Carlos III de Madrid, Spain

    3 publications · 85 citations

    3

    h-index

  4. YL
    Yunrong Li

    Universidad Carlos III de Madrid, Spain

    2 publications · 71 citations

    2

    h-index

  5. LC
    Lennart C.L. Kats

    Delft University of Technology, Netherlands

    2 publications · 83 citations

    2

    h-index

1–5 of 387

Venues

  1. The International Journal of Life Cycle Assessment

    LCA · 6 publications · 489 citations

    6

    h-index

  2. Information and Computation

    6 publications · 223 citations

    6

    h-index

  3. Journal of Informetrics

    5 publications · 126 citations

    5

    h-index

  4. PLoS ONE

    4 publications · 430 citations

    4

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 62 citations

    3

    h-index

1–5