Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
EDBT 2026 Demo / reviewers in the wild / expert

Zan Armstrong

dblp:153/7748 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2014
0000-0001-5231-7470ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › information visualization › quantitative data visualization
statistical visualization		 0.212014
Visualizing Statistical Mix Effects and Simpson's Paradox · IEEE Trans. Vis. Comput. Graph. 2014
Visualization and visual analytics
visualization design		 0.112014
Visualizing Statistical Mix Effects and Simpson's Paradox · IEEE Trans. Vis. Comput. Graph. 2014

Methods — techniques the papers use, named apart from their topics

comet chart · 0.2
YearPublicationVenuePosition
2014 Visualizing Statistical Mix Effects and Simpson's Paradox
abstract
We discuss how "mix effects" can surprise users of visualizations and potentially lead them to incorrect conclusions. This statistical issue (also known as "omitted variable bias" or, in extreme cases, as "Simpson's paradox") is widespread and can affect any visualization in which the quantity of interest is an aggregated value such as a weighted sum or average. Our first contribution is to document how mix effects can be a serious issue for visualizations, and we analyze how mix effects can cause problems in a variety of popular visualization techniques, from bar charts to treemaps. Our second contribution is a new technique, the "comet chart," that is meant to ameliorate some of these issues.
Zan Armstrong, Martin Wattenberg
 IEEE Trans. Vis. Comput. Graph.1