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Vadim Ogievetsky

dblp:66/8185 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—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
User interface design and tools · 100%

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

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › data visualization
web-based visualization
0.112011
D³ Data-Driven Documents · IEEE Trans. Vis. Comput. Graph. 2011
User interface design and tools › authoring tools
visualization authoring tools
0.112011
D³ Data-Driven Documents · IEEE Trans. Vis. Comput. Graph. 2011

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

dynamic transforms · 0.2data binding · 0.2
YearPublicationVenuePosition
2011 D³ Data-Driven Documents
abstract
Data-Driven Documents (D3) is a novel representation-transparent approach to visualization for the web. Rather than hide the underlying scenegraph within a toolkit-specific abstraction, D3 enables direct inspection and manipulation of a native representation: the standard document object model (DOM). With D3, designers selectively bind input data to arbitrary document elements, applying dynamic transforms to both generate and modify content. We show how representational transparency improves expressiveness and better integrates with developer tools than prior approaches, while offering comparable notational efficiency and retaining powerful declarative components. Immediate evaluation of operators further simplifies debugging and allows iterative development. Additionally, we demonstrate how D3 transforms naturally enable animation and interaction with dramatic performance improvements over intermediate representations.
Michael Bostock, Vadim Ogievetsky, Jeffrey Heer
IEEE Trans. Vis. Comput. Graph.2