Lineage Tracking

Lineage Tracking is a data management method that systematically records and reconstructs the origin, transformation history, and dependencies of data elements across distributed and collaborative visualization processes to ensure transparency, reproducibility, and accountability.

51

Publications

4.8K

Citations

280

Authors

142

Institutions

Publications per year

2017–2026

22

Authors

280

  1. EW
    Eugene Wu

    Columbia University, United States

    5 publications · 140 citations

    5

    h-index

  2. JW
    Jennifer Widom

    Stanford University, United States

    5 publications · 981 citations

    5

    h-index

  3. FP
    Fotis Psallidas

    Columbia University, United States

    4 publications · 103 citations

    4

    h-index

  4. YC
    Yangfan Cui

    Stanford University, United States

    3 publications · 527 citations

    3

    h-index

  5. MS
    Michael Stonebraker

    University of California, Berkeley, United States

    2 publications · 237 citations

    2

    h-index

1–5 of 280

Venues

  1. eLife

    4 publications · 767 citations

    4

    h-index

  2. PLoS ONE

    2 publications · 44 citations

    2

    h-index

  3. Nature Communications

    2 publications · 79 citations

    2

    h-index

  4. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 49 citations

    2

    h-index

  5. Scientific Reports

    2 publications · 68 citations

    2

    h-index

1–5