Process Knowledge Capture

Process Knowledge Capture is a methodological construct within process documentation that systematically identifies, records, and structures procedural expertise and implicit know-how to enable the explicit representation and reuse of organizational process knowledge.

318

Publications

13.3K

Citations

854

Authors

370

Institutions

Publications per year

2017–2026

64

Authors

854

  1. BR
    Balasubramaniam Ramesh

    Georgia State University, United States

    5 publications · 620 citations

    5

    h-index

  2. MJ
    Matthias Jarke

    RWTH Aachen University, Germany

    4 publications · 133 citations

    4

    h-index

  3. VD
    Vasant Dhar

    New York University, United States

    4 publications · 384 citations

    4

    h-index

  4. TL
    Theodore Lim

    Heriot-Watt University, United Kingdom

    4 publications · 72 citations

    4

    h-index

  5. SH
    S Hari

    Glasgow Caledonian University, United Kingdom

    3 publications · 155 citations

    3

    h-index

1–5 of 854

Venues

  1. Computers & Chemical Engineering

    9 publications · 275 citations

    9

    h-index

  2. Journal of Knowledge Management

    6 publications · 409 citations

    6

    h-index

  3. Decision Support Systems

    6 publications · 586 citations

    6

    h-index

  4. Computers in Industry

    6 publications · 524 citations

    6

    h-index

  5. Expert Systems with Applications

    6 publications · 256 citations

    6

    h-index

1–5