Critical Content Identification

Critical Content Identification is the academic process of determining the most essential informational elements within a content set that are necessary for achieving specific learning, communication, or research objectives, distinguished by its focus on prioritizing foundational or high-impact contributions such as methods, models, frameworks, theories, constructs, datasets, tasks, or metrics within a given domain.

10

Publications

456

Citations

31

Authors

28

Institutions

Publications per year

2017–2026

2

Authors

31

  1. YN
    Yuta Nishina

    Okayama University, Japan

    1 publications · 10 citations

    1

    h-index

  2. MF
    Muhammad Faran Majeed

    Shaheed Benazir Bhutto University, Pakistan

    1 publications · 88 citations

    1

    h-index

  3. UG
    Urania Glassman

    Adelphi University, United States

    1 publications · 16 citations

    1

    h-index

  4. TR
    Thomas R. Tretter

    University of Louisville, United States

    1 publications · 15 citations

    1

    h-index

  5. AE
    Allison E. Babyak

    The University of Texas Health Science Center at Houston, United States

    1 publications · 32 citations

    1

    h-index

1–5 of 31

Venues

  1. Deep Blue (University of Michigan)

    Repository · 1 publications · 24 citations

    1

    h-index

  2. IEEE Communications Letters

    1 publications · 88 citations

    1

    h-index

  3. Journal of Technology Education

    JTE · 1 publications · 72 citations

    1

    h-index

  4. RSC Advances

    1 publications · 10 citations

    1

    h-index

  5. Tourism Management Perspectives

    1 publications · 67 citations

    1

    h-index

1–5