Visual Knowledge Representation

Visual Knowledge Representation is a scholarly construct in the field of knowledge visualization that refers to a method, model, framework, theory, dataset, task, or metric designed to encode, structure, and convey knowledge through visual forms, distinguishing it from non-visual or text-based representations by its reliance on graphical, spatial, or perceptual elements to facilitate understanding, reasoning, and communication of information.

814

Publications

64K

Citations

2.3K

Authors

716

Institutions

Publications per year

2017–2026

287

Authors

2.3K

  1. MJ
    Martin J. Eppler

    University of St.Gallen, Switzerland

    7 publications · 469 citations

    7

    h-index

  2. HF
    Haoqi Fan

    Meta (Israel), Israel

    5 publications · 13.6K citations

    5

    h-index

  3. AG
    Abhinav Gupta

    Carnegie Mellon University, United States

    5 publications · 2K citations

    5

    h-index

  4. LL
    Liang Lin

    Sun Yat-sen University, China

    5 publications · 446 citations

    5

    h-index

  5. SX
    Stella X. Yu

    University of California, Berkeley, United States

    5 publications · 1.3K citations

    5

    h-index

1–5 of 2.3K

Venues

  1. arXiv (Cornell University)

    Repository · 58 publications · 4.6K citations

    29

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 12 publications · 1.2K citations

    11

    h-index

  3. IEEE Transactions on Multimedia

    10 publications · 364 citations

    10

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 8 publications · 912 citations

    7

    h-index

  5. Information Visualization

    7 publications · 148 citations

    7

    h-index

1–5