Source Relevance Assessment

Source Relevance Assessment is a methodological process within information evaluation that determines the pertinence of a source to a specific research inquiry by analyzing its content, context, and alignment with the research objectives, thereby distinguishing it from generic source appraisal techniques focused solely on credibility or bias.

13

Publications

702

Citations

43

Authors

24

Institutions

Publications per year

2017–2026

1

Authors

43

  1. KW
    Kevin Wu

    Massachusetts General Hospital, United States

    1 publications · 40 citations

    1

    h-index

  2. GJ
    Gema Jiménez

    Universidad de Granada, Spain

    1 publications · 54 citations

    1

    h-index

  3. MS
    M. Shridhar

    University of Michigan–Dearborn, United States

    1 publications · 22 citations

    1

    h-index

  4. JZ
    James Zou

    Stanford University, United States

    1 publications · 40 citations

    1

    h-index

  5. PA
    Patricia A. Alexander

    University of Maryland, College Park, United States

    1 publications · 75 citations

    1

    h-index

1–5 of 43

Venues

  1. Learning and Instruction

    2 publications · 106 citations

    2

    h-index

  2. Journal of Applied Psychology

    1 publications · 267 citations

    1

    h-index

  3. Journal on Data Semantics

    JoDS · 1 publications · 17 citations

    1

    h-index

  4. Journal of Documentation

    1 publications · 43 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 40 citations

    1

    h-index

1–5