Multi-resolution Visualization

Multi-Resolution Visualization is a visualization technique that enables the representation of data at varying levels of detail or granularity, distinguished by its capacity to adaptively refine or coarsen visual fidelity in response to user interaction, scale, or spatial context.

27

Publications

1.1K

Citations

106

Authors

43

Institutions

Publications per year

2017–2026

4

Authors

106

  1. NG
    Nader Gharachorloo

    IBM Research - Thomas J. Watson Research Center, United States

    2 publications · 55 citations

    2

    h-index

  2. SG
    S. Gupta

    IBM Research - Thomas J. Watson Research Center, United States

    2 publications · 55 citations

    2

    h-index

  3. RF
    Robert F. Sproull

    Carnegie Mellon University, United States

    2 publications · 55 citations

    2

    h-index

  4. IE
    Ivan E. Sutherland

    Sutherland HDL (United States), United States

    2 publications · 55 citations

    2

    h-index

  5. JW
    Jonathan Woodring

    Los Alamos National Laboratory, United States

    1 publications · 18 citations

    1

    h-index

1–5 of 106

Venues

  1. Eurographics

    Repository · 2 publications · 43 citations

    2

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  2. 1

    h-index

  3. ACM SIGGRAPH Computer Graphics

    1 publications · 19 citations

    1

    h-index

  4. Museum Management and Curatorship

    1 publications · 16 citations

    1

    h-index

  5. BMC Bioinformatics

    1 publications · 46 citations

    1

    h-index

1–5