Faster Visual Analytics through Pixel-Perfect Aggregation
Summary: Pixel-aware visualization reduces data transmission while preserving pixel-perfect visuals for time-series. Query-time, visualization-driven reduction operators trade milliseconds for data transfer savings, enabling real-time visuals over millions of points. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Uwe Jugel
- 2. Zbigniew Jerzak
- 3. Gregor Hackenbroich
- 4. Volker Markl
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,842 | Towards Democratizing Relational Data Visualization | 2019 | SIGMOD | 4.9103931e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,805 | M4: A Visualization-Oriented Time Series Data Aggregation | 2014 | VLDB | 0.00010493299 |
| 2,301 | Extreme Visualization: Squeezing a Billion Records into a Million Pixels | 2008 | SIGMOD | 9.0672364e-05 |
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