Dynamic Multidimensional Scaling

Dynamic Multidimensional Scaling is a variant of multidimensional scaling that extends static spatial representation by incorporating temporal or sequential changes in data, thereby modeling the evolution of relationships among objects across time within a low-dimensional geometric space.

16

Publications

889

Citations

51

Authors

28

Institutions

Publications per year

2017–2026

5

Authors

51

  1. PS
    Purnamrita Sarkar

    The University of Texas at Austin, United States

    2 publications · 452 citations

    2

    h-index

  2. AM
    Andrew Moore

    Carnegie Mellon University, United States

    2 publications · 452 citations

    2

    h-index

  3. GB
    Gilbert Babin

    HEC Montréal, Canada

    1 publications · 10 citations

    1

    h-index

  4. AM
    Ankita Mishra

    Monash University, Australia

    1 publications · 15 citations

    1

    h-index

  5. JH
    Jing He

    Hunan University of Technology, China

    1 publications · 13 citations

    1

    h-index

1–5 of 51

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 22 citations

    1

    h-index

  2. 1

    h-index

  3. Social Indicators Research

    1 publications · 15 citations

    1

    h-index

  4. AIAA Guidance, Navigation, and Control Conference and Exhibit

    Conference · 1 publications · 101 citations

    1

    h-index

  5. Physical Review Letters

    PRL · 1 publications · 34 citations

    1

    h-index

1–5