Concepedia

Scalable Analytics Interfaces

Scalable Analytics Interfaces is an interactive system design paradigm that enables effective human-computer collaboration in data analysis by maintaining usability and performance across varying data volumes, analytic complexity, and user expertise through adaptive visualization, computation, and interaction techniques.

3

Publications

110

Citations

11

Authors

4

Institutions

Publications per year

2017–2026

0

Parents

Publications

3

1–3 of 3

Authors

11

  1. SA
    Sophia Ananiadou

    University of Manchester, United Kingdom

    1 publications · 81 citations

    1

    h-index

  2. MS
    Mark Sifer

    Hiroshima University, Japan

    1 publications · 17 citations

    1

    h-index

  3. MH
    Meichun Hsu

    Hewlett-Packard (United States), United States

    1 publications · 12 citations

    1

    h-index

  4. SM
    Sebastian Mittelstädt

    University of Konstanz, Germany

    1 publications · 12 citations

    1

    h-index

  5. RR
    Rafał Rak

    University of Rzeszów, Poland

    1 publications · 81 citations

    1

    h-index

1–5 of 11

Institutions

4

  1. Hewlett-Packard (United States)

    Palo Alto, United States

    1 h-index

    4 publications

    48 citations

  2. University of Wollongong

    Wollongong, Australia

    1 h-index

    1 publications

    17 citations

  3. University of Konstanz

    Konstanz, Germany

    1 h-index

    2 publications

    24 citations

  4. University of Manchester

    Manchester, United Kingdom

    1 h-index

    4 publications

    324 citations

1–4 of 4

Venues

  1. Database

    1 publications · 81 citations

    1

    h-index

1–1