EDBT 2026 Demo / reviewers in the wild / expert
Matthew M. McKeon
dblp:92/617
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
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% | |
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
collaborative visualization |
0.1 | 1 | 2007 | ManyEyes: a Site for Visualization at Internet Scale · IEEE Trans. Vis. Comput. Graph. 2007 |
Visualization and visual analytics
social data analysis |
0.1 | 1 | 2007 | ManyEyes: a Site for Visualization at Internet Scale · IEEE Trans. Vis. Comput. Graph. 2007 |
Visualization and visual analytics › data visualization
web-based visualization |
0.1 | 1 | 2007 | ManyEyes: a Site for Visualization at Internet Scale · IEEE Trans. Vis. Comput. Graph. 2007 |
Collaborative and social computing › computer-supported cooperative work
asynchronous collaboration |
0.0 | 1 | 2007 | ManyEyes: a Site for Visualization at Internet Scale · IEEE Trans. Vis. Comput. Graph. 2007 |
Methods — techniques the papers use, named apart from their topics
user activity analysis · 0.1deployment study · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | ManyEyes: a Site for Visualization at Internet ScaleabstractWe describe the design and deployment of Many Eyes, a public web site where users may upload data, create interactive visualizations, and carry on discussions. The goal of the site is to support collaboration around visualizations at a large scale by fostering a social style of data analysis in which visualizations not only serve as a discovery tool for individuals but also as a medium to spur discussion among users. To support this goal, the site includes novel mechanisms for end-user creation of visualizations and asynchronous collaboration around those visualizations. In addition to describing these technologies, we provide a preliminary report on the activity of our users. Fernanda B. Viégas, Martin Wattenberg, Frank van Ham, Jesse Kriss, Matthew M. McKeon |
IEEE Trans. Vis. Comput. Graph. | 5 |