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
642
John Miles Smith, Diane C. P. Smith · ACM Transactions on Database Systems · 1977 · 1.4K citations · Full text
KNIME - the Konstanz information miner
Michael R. Berthold, Nicolas Cebron, Fabian Dill et al. · ACM SIGKDD Explorations Newsletter · 2009 · 1.2K citations · Full text
1–5 of 642
1.5K
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h-index
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h-index
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518
Stanford University
Stanford, United States
18 h-index
37 publications
12.5K citations

University of Alberta
Edmonton, Canada
15 h-index
20 publications
1.7K citations
University of California, Berkeley
Berkeley, United States
14 h-index
24 publications
2.8K citations
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
20 publications
5.1K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
18 publications
850 citations

TU Wien
Vienna, Austria
9 h-index
22 publications
1.2K citations

Polish Academy of Sciences
Warsaw, Poland
9 h-index
12 publications
1.3K citations
Systems Research Institute
Warsaw, Poland
9 h-index
12 publications
1.3K citations
1–8 of 518
TVCG · 35 publications · 7K citations
27
h-index
TSE · 12 publications · 732 citations
12
h-index
11 publications · 1K citations
11
h-index
9 publications · 227 citations
10
h-index
TKDE · 9 publications · 597 citations
9
h-index
1–5