Graph Distortion Analysis

Graph Distortion Analysis is a computational method in spatial network visualization that quantifies and evaluates the geometric and topological discrepancies introduced when abstracting or projecting complex graph structures into reduced-dimensional visual representations.

16

Publications

1.6K

Citations

28

Authors

13

Institutions

Publications per year

2017–2026

2

Authors

28

  1. YR
    Yuri Rabinovich

    University of Haifa, Israel

    4 publications · 1.3K citations

    4

    h-index

  2. NL
    Nathan Linial

    Hebrew University of Jerusalem, Israel

    3 publications · 1.2K citations

    3

    h-index

  3. YW
    Yusu Wang

    The Ohio State University, United States

    3 publications · 136 citations

    3

    h-index

  4. DS
    Dayu Shi

    The Ohio State University, United States

    2 publications · 31 citations

    2

    h-index

  5. TK
    Tamal K. Dey

    The Ohio State University, United States

    2 publications · 31 citations

    2

    h-index

1–5 of 28

Venues

  1. Pattern Recognition

    1 publications · 23 citations

    1

    h-index

  2. Discrete & Computational Geometry

    1 publications · 102 citations

    1

    h-index

  3. COMBINATORICA

    1 publications · 974 citations

    1

    h-index

  4. Journal of Technical Writing and Communication

    JTWC · 1 publications · 15 citations

    1

    h-index

  5. Journal of Applied Research in Memory and Cognition

    JARMAC · 1 publications · 29 citations

    1

    h-index

1–5