Timeliness Metrics

Timeliness Metrics is a performance evaluation construct used in adverse event reporting systems to measure the temporal efficiency of event detection, submission, and processing by quantifying the deviation between actual and expected reporting intervals.

55

Publications

4.4K

Citations

206

Authors

116

Institutions

Publications per year

2017–2026

15

Authors

206

  1. KM
    Kevin Murphy

    Google (United States), United States

    2 publications · 46 citations

    2

    h-index

  2. RM
    Richard Mergenthaler

    University of Iowa, United States

    2 publications · 208 citations

    2

    h-index

  3. VV
    Valeri V. Nikolaev

    University of Chicago, United States

    2 publications · 332 citations

    2

    h-index

  4. JM
    John M. McInnis

    The University of Texas at Austin, United States

    2 publications · 208 citations

    2

    h-index

  5. YY
    Yong Yu

    The University of Texas at Austin, United States

    2 publications · 208 citations

    2

    h-index

1–5 of 206

Venues

  1. SSRN Electronic Journal

    Repository · 6 publications · 261 citations

    6

    h-index

  2. The Accounting Review

    2 publications · 423 citations

    2

    h-index

  3. Journal of Product Innovation Management

    2 publications · 645 citations

    2

    h-index

  4. Project Management Journal

    1 publications · 25 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 27 citations

    1

    h-index

1–5