Data Abstraction

Data Abstraction is a foundational process in Information Visualization that identifies and transforms raw data into a simplified, structured representation by selectively retaining essential attributes and discarding irrelevant details, enabling effective visual encoding and interpretation.

642

Publications

45.3K

Citations

1.5K

Authors

518

Institutions

Publications per year

2017–2026

113

Authors

1.5K

  1. WP
    Witold Pedrycz

    University of Alberta, Canada

    13 publications · 1.3K citations

    13

    h-index

  2. YS
    Yuval Shaḥar

    Ben-Gurion University of the Negev, Israel

    11 publications · 588 citations

    11

    h-index

  3. BL
    Barbara Liskov

    Massachusetts Institute of Technology, United States

    9 publications · 2.6K citations

    9

    h-index

  4. SM
    Silvia Miksch

    TU Wien, Austria

    8 publications · 750 citations

    8

    h-index

  5. WA
    Wolfgang Aigner

    TU Wien, Austria

    6 publications · 623 citations

    6

    h-index

1–5 of 1.5K

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 35 publications · 7K citations

    27

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 12 publications · 732 citations

    12

    h-index

  3. ACM SIGPLAN Notices

    11 publications · 1K citations

    11

    h-index

  4. Computer Graphics Forum

    9 publications · 227 citations

    10

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 9 publications · 597 citations

    9

    h-index

1–5