会議情報
EuroVis 2026: Eurographics/IEEE-VGTC Symposium on Visualization
https://eurovis.org.uk/
提出日:
2025-11-26
通知日:
2026-03-18
会議日:
2026-06-08
場所:
Nottingham, UK
年:
28
CCF: b   CORE: b   QUALIS: b1   閲覧: 39270   追跡: 27   出席: 3

論文募集
With this call for full papers, we invite original submission of high-quality papers that will set the standard and stimulate future trends in the field of visualization and visual analytics. Accepted full papers will be published in a special issue of Computer Graphics Forum, the International Journal of the Eurographics Association, after a two-stage peer-reviewing process. All accepted papers will be presented orally at the conference. 

We encourage submissions from all areas of visualization and visual analytics.

Suggested paper types and topics include, but are not limited to:

    Techniques: novel algorithms, visual encoding methods, and/or interaction techniques for data analysis, exploration, or communication. All sub-areas of visualization and visual analytics are welcomed, including high-dimensional, time-series, spatial, geographic, text, hierarchical, and network data. Techniques may be specialized for specific devices or form-factors (e.g., mobile or wall-scale visualization).
    Systems: new software frameworks, languages, or tools for visualization; systems for large-scale visualization; integrated graphical systems for visual analysis or interactive machine learning; collaborative and web-scale visualization systems.
    Applications & Design Studies: novel use of visualization to address problems in an application domain, including accounts of innovative system design, deployment and impact. We welcome diverse application areas, including the physical sciences, life sciences, social sciences, engineering, arts, sports, and humanities.
    Evaluation & Empirical Research: Comparative evaluation of competing visualization approaches; controlled experiments to inform visualization best practices; longitudinal and qualitative studies to understand user needs, visualization adoption, and use.
    Theory: models of visual encoding, interaction, and/or analysis tasks; implications from theories of perception, cognition, design, and/or aesthetics; methods for automated design or visualization recommendation.
最終更新 Dou Sun 2025-09-13
合格率
時間提出受け入れ受け入れ(%)
20091434128.7%
20081434531.5%
2007933537.6%
2006984343.9%
20051013736.6%
2004823947.6%
2003623048.4%
2002803138.8%
2001683348.5%
2000662740.9%
1999643046.9%
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