Data Wrangling Automation

Data Wrangling Automation is a systematic method that enables the transformation, cleaning, and integration of raw data into structured formats through algorithmic and rule-based processes, reducing human intervention in data preparation workflows.

14

Publications

840

Citations

65

Authors

33

Institutions

Publications per year

2017–2026

12

Authors

65

  1. NW
    Norman W. Paton

    University of Manchester, United Kingdom

    6 publications · 209 citations

    6

    h-index

  2. MK
    Martin Koehler

    University of Manchester, United Kingdom

    5 publications · 137 citations

    5

    h-index

  3. AA
    Alvaro A. A. Fernandes

    University of Manchester, United Kingdom

    5 publications · 137 citations

    5

    h-index

  4. CC
    Cristina Civili

    Sapienza University of Rome, Italy

    4 publications · 104 citations

    4

    h-index

  5. EW
    E. W. Abel

    University of Exeter, United Kingdom

    4 publications · 104 citations

    4

    h-index

1–5 of 65

Venues

  1. SN Computer Science

    1 publications · 33 citations

    1

    h-index

  2. Methods in Ecology and Evolution

    1 publications · 15 citations

    1

    h-index

  3. The Journal of Open Source Software

    JOSS · 1 publications · 51 citations

    1

    h-index

  4. Organizational Research Methods

    ORM · 1 publications · 46 citations

    1

    h-index

  5. Journal Of Big Data

    1 publications · 19 citations

    1

    h-index

1–5