EDBT 2026 Demo / reviewers in the wild / expert
Claurissa Tuttle
dblp:99/8755
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none
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 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
layout algorithm |
0.1 | 1 | 2010 | PedVis: A Structured, Space-Efficient Technique for Pedigree Visualization · IEEE Trans. Vis. Comput. Graph. 2010 |
Visualization and visual analytics › visualization evaluation
user study |
0.0 | 1 | 2010 | PedVis: A Structured, Space-Efficient Technique for Pedigree Visualization · IEEE Trans. Vis. Comput. Graph. 2010 |
Methods — techniques the papers use, named apart from their topics
user study · 0.1h-tree layout · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | PedVis: A Structured, Space-Efficient Technique for Pedigree VisualizationabstractPublic genealogical databases are becoming increasingly populated with historical data and records of the current population's ancestors. As this increasing amount of available information is used to link individuals to their ancestors, the resulting trees become deeper and more dense, which justifies the need for using organized, space-efficient layouts to display the data. Existing layouts are often only able to show a small subset of the data at a time. As a result, it is easy to become lost when navigating through the data or to lose sight of the overall tree structure. On the contrary, leaving space for unknown ancestors allows one to better understand the tree's structure, but leaving this space becomes expensive and allows fewer generations to be displayed at a time. In this work, we propose that the H-tree based layout be used in genealogical software to display ancestral trees. We will show that this layout presents an increase in the number of displayable generations, provides a nicely arranged, symmetrical, intuitive and organized fractal structure, increases the user's ability to understand and navigate through the data, and accounts for the visualization requirements necessary for displaying such trees. Finally, user-study results indicate potential for user acceptance of the new layout. Claurissa Tuttle, Luis Gustavo Nonato, Cláudio T. Silva |
IEEE Trans. Vis. Comput. Graph. | 1 |