会议信息

EuroVis 2026: Eurographics/IEEE-VGTC Symposium on Visualization

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截稿日期:
2025-11-26
通知日期:
2026-03-18
会议日期:
2026-06-08
会议地点:
Nottingham, UK
届数:
28
CCF: B   ICORE: B   QUALIS: B1   浏览: 53601   关注: 25   参加: 3
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EuroVis
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会伴指数 (CP-I)

75.9 / 100
全站第 252 名 / 共 5,697 个会议 · 前 5%

计算机图形学与多媒体 第 14 / 151

学术认可 (35%)
82
投稿选择性 (20%)
71
会议传承 (20%)
91
社区关注 (10%)
50
资料公开度 (15%)
65

用到的输入: 收录等级：CCF B, ICORE B, QUALIS B1 · 录用率：35.7%（有记录的 5 届的均值） · 有据可查的届次：28 · 在会伴关注它的研究者：25 人 · 过去 24 个月打开过本页的研究者：11 人

公开资料里还缺: 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-12

征稿

EuroVis 2026 (Eurographics/IEEE-VGTC Symposium on Visualization) is a CCF B / ICORE 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.
由 Dou Sun 最后更新于

录用率

平均录用率: 40.8% 11 年间 (1999–2009).

年份提交数录用数录用率(%)
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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CCF全称影响因子出版商ISSN
Visualization in EngineeringSpringer2213-7459
Computing and Visualization in ScienceSpringer1432-9360
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.7Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
BJournal of Systems and Software3.8Elsevier0164-1212

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