Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 274

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Reactive Vega: A Streaming Dataflow Architecture for Declarative Interactive Visualization

Satyanarayan, Arvind, Russell, Ryan, Hoffswell, Jane, Heer, Jeffrey·2016·IEEE Transactions on Visualization and Computer Graphics

Abstract

We present Reactive Vega, a system architecture that provides the first robust and comprehensive treatment of declarative visual and interaction design for data visualization. Starting from a single declarative specification, Reactive Vega constructs a dataflow graph in which input data, scene graph elements, and interaction events are all treated as first-class streaming data sources. To support expressive interactive visualizations that may involve time-varying scalar, relational, or hierarchical data, Reactive Vega's dataflow graph can dynamically re-write itself at runtime by extending or pruning branches in a data-driven fashion. We discuss both compile- and run-time optimizations applied within Reactive Vega, and share the results of benchmark studies that indicate superior interactive performance to both D3 and the original, non-reactive Vega system.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/tvcg.2015.2467091

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 31 references

Cited by

See all 274

Metadata

Authors
Satyanarayan, A., Russell, R., Hoffswell, J., & Heer, J.
Venue
IEEE Transactions on Visualization and Computer Graphics
Published
2016-01-31
Volume
22
Issue
1
Pages
659-668
ISSN
1077-2626 (ISSN-L)
OpenAlex
W1896226795
Cited by
274
References
31
FWCI
13.29
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Reactive Vega: A Streaming Dataflow Architecture for Declarative Interactive Visualization. https://app.cochat.ai/papers/10.1109/tvcg.2015.2467091
The paper
Satyanarayan, A., Russell, R., Hoffswell, J., & Heer, J. (2016). Reactive Vega: A Streaming Dataflow Architecture for Declarative Interactive Visualization. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/tvcg.2015.2467091

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.