Conference Information

EuroVis 2026: Eurographics/IEEE-VGTC Symposium on Visualization

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Submission Date:
2025-11-26
Notification Date:
2026-03-18
Conference Date:
2026-06-08
Location:
Nottingham, UK
Years:
28
CCF: b   CORE: b   QUALIS: b1   Viewed: 49854   Tracked: 27   Attend: 3

Call For Papers

EuroVis 2026 (Eurographics/IEEE-VGTC Symposium on Visualization) is a CCF B / CORE B / QUALIS B1 conference held in Nottingham, UK on 2026-06-08. The paper submission deadline is 2025-11-26. Acceptance notifications are sent on 2026-03-18.

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.
Last updated by Dou Sun in

Acceptance Ratio

Average acceptance rate: 40.8% over 11 years (1999–2009).

YearSubmittedAcceptedAccepted(%)
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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a*InfoVisIEEE Information Visualization Conference2017-03-212017-06-062017-10-01
cb3CGIVInternational Conference on Computer Graphics, Imaging and Visualization0000-00-002013-05-222013-08-06

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AttenderYear
Su Mai (325)2022
Yan Yan (34)2022
Xiaoxi Liu (97)2022
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