Graphical Data Representation

Graphical Data Representation is a method of visualizing quantitative information through structured visual elements such as charts, graphs, and diagrams, distinguished by its capacity to transform abstract data into interpretable spatial relationships for analytical and communicative purposes.

1.5K

Publications

178.1K

Citations

3.8K

Authors

1.4K

Institutions

Publications per year

2017–2026

248

Authors

3.8K

  1. MR
    Milan Randić

    Drake University, United States

    18 publications · 1.7K citations

    17

    h-index

  2. WS
    William S. Cleveland

    Purdue University West Lafayette, United States

    12 publications · 6.1K citations

    12

    h-index

  3. BL
    Bo Liao

    Hunan University, China

    12 publications · 525 citations

    12

    h-index

  4. PH
    Pingan He

    Zhejiang Sci-Tech University, China

    11 publications · 355 citations

    11

    h-index

  5. YY
    Yuhua Yao

    Hainan Normal University, China

    11 publications · 453 citations

    11

    h-index

1–5 of 3.8K

Venues

  1. Chemical Physics Letters

    29 publications · 2K citations

    24

    h-index

  2. Nucleic Acids Research

    21 publications · 7.1K citations

    19

    h-index

  3. Bioinformatics

    25 publications · 4.6K citations

    19

    h-index

  4. The American Statistician

    19 publications · 1.5K citations

    18

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 19 publications · 1.3K citations

    17

    h-index

1–5