Context-dependent Half-life

Context-Dependent Half-Life is a half-life estimation metric that quantifies the temporal decay of relevance or utility of academic knowledge or contributions in a manner inherently conditioned on specific contextual factors such as domain, methodology, or application scenario.

5

Publications

134

Citations

22

Authors

6

Institutions

Publications per year

2017–2026

3

Authors

22

  1. JD
    Joseph D. Tobias

    Nationwide Children's Hospital, United States

    3 publications · 65 citations

    3

    h-index

  2. JY
    Jessica Yeh

    National Museum of Marine Biology and Aquarium, Taiwan

    1 publications · 13 citations

    1

    h-index

  3. SO
    Shigeki Ono

    Okayama University, Japan

    1 publications · 35 citations

    1

    h-index

  4. TH
    Torsten H. Schroeder

    University of Tübingen, Germany

    1 publications · 34 citations

    1

    h-index

  5. RE
    Raila Ehlers

    Brigham and Women's Hospital, United States

    1 publications · 34 citations

    1

    h-index

1–5 of 22

Venues

  1. Journal of Medical Cases

    2 publications · 52 citations

    2

    h-index

  2. Neurosurgery

    1 publications · 35 citations

    1

    h-index

  3. Anesthesia & Analgesia

    1 publications · 34 citations

    1

    h-index

  4. Journal of Clinical Medicine Research

    JOCMR · 1 publications · 13 citations

    1

    h-index

1–4