Distributed Timeline Analysis

Distributed Timeline Analysis is a computational framework within timeline analysis that integrates temporally fragmented data across multiple decentralized sources or nodes to construct a coherent chronological narrative through synchronized event ordering and consistency resolution.

4

Publications

76

Citations

13

Authors

5

Institutions

Publications per year

2017–2026

2

Authors

13

  1. AK
    Alistair King

    University of California San Diego, United States

    1 publications · 15 citations

    1

    h-index

  2. RD
    Roy D. Yates

    Rutgers, The State University of New Jersey, United States

    1 publications · 30 citations

    1

    h-index

  3. PS
    Peter Sheridan Dodds

    University of Vermont, United States

    1 publications · 13 citations

    1

    h-index

  4. TA
    Thayer Alshaabi

    University of Vermont, United States

    1 publications · 13 citations

    1

    h-index

  5. AJ
    Andrew J. Reagan

    University of Vermont, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 13

Venues

  1. Computing

    1 publications · 15 citations

    1

    h-index

  2. PLoS ONE

    1 publications · 13 citations

    1

    h-index

  3. The Journal of Technology Transfer

    1 publications · 18 citations

    1

    h-index

1–3