Information Extraction Visualization

Information Extraction Visualization is a scholarly method that visually represents the processes, results, or structures derived from information extraction tasks to facilitate comprehension, analysis, and interpretation within text visualization research.

11

Publications

411

Citations

39

Authors

19

Institutions

Publications per year

2017–2026

5

Authors

39

  1. PC
    Paul Cairns

    University of York, United Kingdom

    1 publications · 17 citations

    1

    h-index

  2. MG
    Marko Grobelnik

    Jožef Stefan Institute, Slovenia

    1 publications · 30 citations

    1

    h-index

  3. QQ
    Qinjun Qiu

    China University of Geosciences, China

    1 publications · 27 citations

    1

    h-index

  4. BP
    Bruno Pouliquen

    Joint Research Centre, Italy

    1 publications · 12 citations

    1

    h-index

  5. JZ
    Jovana Zoroja

    University of Zagreb, Croatia

    1 publications · 11 citations

    1

    h-index

1–5 of 39

Venues

  1. 1

    h-index

  2. Informatica (slovenia)

    1 publications · 30 citations

    1

    h-index

  3. ArXiv.org

    Repository · 1 publications · 12 citations

    1

    h-index

  4. Technological Forecasting and Social Change

    1 publications · 195 citations

    1

    h-index

  5. BMC Psychiatry

    1 publications · 51 citations

    1

    h-index

1–5