Cohort Visualization

Cohort Visualization is a data visualization method that specifically enables the representation and comparative analysis of patient or subject groups sharing defined clinical characteristics or longitudinal health trajectories within biomedical research.

21

Publications

580

Citations

97

Authors

46

Institutions

Publications per year

2017–2026

10

Authors

97

  1. JK
    Jörn Kohlhammer

    Fraunhofer Institute for Computer Graphics Research, Germany

    2 publications · 62 citations

    2

    h-index

  2. KM
    Kwan‐Liu Ma

    University of California, Davis, United States

    2 publications · 36 citations

    2

    h-index

  3. YL
    Yu‐Chuan Li

    Taipei Medical University, Taiwan

    2 publications · 36 citations

    2

    h-index

  4. DG
    David Gotz

    University of North Carolina at Chapel Hill, United States

    2 publications · 91 citations

    2

    h-index

  5. CH
    Chih‐Wei Huang

    Taipei Medical University, Taiwan

    2 publications · 36 citations

    2

    h-index

1–5 of 97

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 134 citations

    3

    h-index

  2. Information Visualization

    1 publications · 64 citations

    1

    h-index

  3. Journal of Medical Internet Research

    1 publications · 15 citations

    1

    h-index

  4. BMC Medical Research Methodology

    1 publications · 51 citations

    1

    h-index

  5. BMC Medical Informatics and Decision Making

    1 publications · 16 citations

    1

    h-index

1–5