Knowledge Capture Systems

Knowledge Capture Systems is a computational or organizational framework designed to identify, extract, and codify tacit knowledge from individuals or groups, distinguishing it from other knowledge management tools by its specific focus on transforming unarticulated, context-dependent expertise into explicit, reusable, and accessible knowledge artifacts.

74

Publications

3.6K

Citations

244

Authors

114

Institutions

Publications per year

2017–2026

7

Authors

244

  1. SK
    Sunil Kumar Mishra

    SRI International, United States

    3 publications · 102 citations

    3

    h-index

  2. SH
    S Hari

    Glasgow Caledonian University, United Kingdom

    3 publications · 155 citations

    3

    h-index

  3. BP
    Bruce Porter

    The University of Texas at Austin, United States

    3 publications · 102 citations

    3

    h-index

  4. YG
    Yolanda Gil

    University of Southern California, United States

    3 publications · 118 citations

    3

    h-index

  5. VK
    Vinay K. Chaudhri

    SRI International, United States

    3 publications · 102 citations

    3

    h-index

1–5 of 244

Venues

  1. Journal of Knowledge Management

    3 publications · 74 citations

    3

    h-index

  2. VINE

    3 publications · 61 citations

    3

    h-index

  3. Communications of the ACM

    2 publications · 230 citations

    2

    h-index

  4. Journal of Management in Engineering

    2 publications · 253 citations

    2

    h-index

  5. 2

    h-index

1–5