Temporal Provenance

Temporal Provenance is a category of data provenance that specifically captures and represents the chronological sequence, timing, and temporal relationships of operations, events, or transformations applied to data within a computational or collaborative workflow, thereby enabling the reconstruction and analysis of the time-dependent evolution of data products.

21

Publications

818

Citations

95

Authors

47

Institutions

Publications per year

2017–2026

5

Authors

95

  1. PM
    Prasant Mohapatra

    University of California, Davis, United States

    3 publications · 107 citations

    3

    h-index

  2. JZ
    Jindan Zhu

    University of California, Davis, United States

    2 publications · 81 citations

    2

    h-index

  3. MS
    Mehmet S. Aktaş

    Yıldız Technical University, Türkiye

    2 publications · 71 citations

    2

    h-index

  4. AH
    Andreas Haeberlen

    California University of Pennsylvania, United States

    2 publications · 55 citations

    2

    h-index

  5. AP
    Amit Pande

    University of California, Davis, United States

    2 publications · 81 citations

    2

    h-index

1–5 of 95

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 54 citations

    2

    h-index

  2. Geological Society of America Bulletin

    2 publications · 51 citations

    2

    h-index

  3. Future Generation Computer Systems

    FGCS · 1 publications · 40 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 27 citations

    1

    h-index

  5. Communications of the ACM

    1 publications · 224 citations

    1

    h-index

1–5