Charts Interpretation

Charts Interpretation is a methodological framework within data interpretation that enables the systematic analysis and comprehension of visualized data patterns, structures, and relationships embedded in charts through the integration of perceptual, cognitive, and computational processes to extract meaningful insights.

33

Publications

1.8K

Citations

113

Authors

55

Institutions

Publications per year

2017–2026

17

Authors

113

  1. AS
    Arvind Satyanarayan

    Massachusetts Institute of Technology, United States

    3 publications · 165 citations

    3

    h-index

  2. VG
    Venu Govindaraju

    University at Buffalo, State University of New York, United States

    3 publications · 162 citations

    3

    h-index

  3. SS
    Srirangaraj Setlur

    University at Buffalo, State University of New York, United States

    3 publications · 162 citations

    3

    h-index

  4. KD
    Kenny Davila

    University at Buffalo, State University of New York, United States

    3 publications · 162 citations

    3

    h-index

  5. BU
    Bhargava Urala Kota

    University at Buffalo, State University of New York, United States

    2 publications · 140 citations

    2

    h-index

1–5 of 113

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 148 citations

    3

    h-index

  2. Computer Graphics Forum

    1 publications · 56 citations

    1

    h-index

  3. CHI Conference on Human Factors in Computing Systems

    Conference · 1 publications · 43 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Business and Technical Communication

    JBTC · 1 publications · 39 citations

    1

    h-index

1–5