Scientific Graph Interpretation

Scientific Graph Interpretation is a scholarly method for systematically analyzing and extracting meaningful patterns, relationships, and inferences from graphical representations of empirical data within scientific research contexts.

53

Publications

3.8K

Citations

104

Authors

72

Institutions

Publications per year

2017–2026

12

Authors

104

  1. WR
    Wolff‐Michael Roth

    University of Victoria, Canada

    10 publications · 776 citations

    10

    h-index

  2. GM
    G. Michael Bowen

    University of Victoria, Canada

    8 publications · 835 citations

    8

    h-index

  3. WS
    William S. Cleveland

    Purdue University West Lafayette, United States

    3 publications · 799 citations

    3

    h-index

  4. RJ
    Richelle J. Cooper

    University of California, Los Angeles, United States

    2 publications · 89 citations

    2

    h-index

  5. DL
    David L. Schriger

    University of California, Los Angeles, United States

    2 publications · 89 citations

    2

    h-index

1–5 of 104

Venues

  1. Journal of Research in Science Teaching

    JRST · 5 publications · 811 citations

    5

    h-index

  2. Cognition and Instruction

    2 publications · 135 citations

    2

    h-index

  3. The American Statistician

    2 publications · 216 citations

    2

    h-index

  4. Physical Review Physics Education Research

    PRPER · 2 publications · 128 citations

    2

    h-index

  5. Science Technology & Human Values

    2 publications · 80 citations

    2

    h-index

1–5