Data Formatting

Data Formatting is a method within the domain of data handling that specifies the structural organization and syntactic representation of data to ensure consistency, interoperability, and suitability for processing, analysis, or storage.

63

Publications

2.7K

Citations

256

Authors

96

Institutions

Publications per year

2017–2026

20

Authors

256

  1. JB
    J. Barth

    IBM (United States), United States

    2 publications · 29 citations

    2

    h-index

  2. RH
    Richard Hull

    University of Southern California, United States

    2 publications · 148 citations

    2

    h-index

  3. KW
    Kara Woo

    Washington State University, United States

    2 publications · 160 citations

    2

    h-index

  4. SM
    Steven M. Burns

    Intel (United States), United States

    2 publications · 29 citations

    2

    h-index

  5. KW
    Karl W. Broman

    University of Wisconsin–Madison, United States

    2 publications · 160 citations

    2

    h-index

1–5 of 256

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 67 citations

    4

    h-index

  2. The American Statistician

    2 publications · 169 citations

    2

    h-index

  3. IEEE Journal of Solid-State Circuits

    2 publications · 37 citations

    2

    h-index

  4. Software Practice and Experience

    1 publications · 14 citations

    1

    h-index

  5. EPJ Nuclear Sciences & Technologies

    EPJN · 1 publications · 12 citations

    1

    h-index

1–5