会议信息

Vis 2026: IEEE Visualization Conference

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截稿日期:
2026-03-21
通知日期:
2026-07-15
会议日期:
2026-11-09
会议地点:
Boston, Massachusetts, USA
届数:
28
CCF: A   ICORE: A   QUALIS: B4   浏览: 64927   关注: 46   参加: 2

会伴指数 (CP-I)

87.4 / 100
全站第 99 名 / 共 5,650 个会议 · 前 2%

计算机图形学与多媒体 第 4 / 148

学术认可 (35%)
100
投稿选择性 (20%)
77
会议传承 (20%)
97
社区关注 (10%)
55
资料公开度 (15%)
80

用到的输入: 收录等级:CCF A, ICORE A, QUALIS B4 · 录用率:30.9%(有记录的 5 届的均值) · 有据可查的届次:36 · 在会伴关注它的研究者:46 人 · 过去 24 个月打开过本页的研究者:10 人

公开资料里还缺: 历届信息 (+3.0)
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 2026-09-04

征稿

Vis 2026 (IEEE Visualization Conference) is a CCF A / ICORE A / QUALIS B4 conference held in Boston, Massachusetts, USA on 2026-11-09. The paper submission deadline is 2026-03-21. Acceptance notifications are sent on 2026-07-15.

IEEE VIS 2026 solicits novel research contributions and innovative applications in all areas of visualization. Area 1: Theoretical & Empirical Theoretical and empirical research topics that aim to define the foundation of VIS as a scientific subject. Area 2: Applications All forms of application-focused research. Area 3: Systems & Rendering Building systems, algorithms for rendering, and alternate input and output modalities. Area 4: Representations & Interaction The design of visual representations and interaction techniques for different types of data, users, and visualization tasks. Area 5: Data Transformations Algorithms and techniques that transform data from one form to another to enable effective and efficient visual mapping as required by the intended visual representations. Area 6: Analytics & Decisions Design and optimization of integrated workflows for visual data analysis, knowledge discovery, decision support, machine learning, and other data intelligence tasks.
Dou Sun 最后更新于

录用率

平均录用率: 35% 13 年间 (1994–2006).

年份提交数录用数录用率(%)
20062286327.6%
20052688832.8%
20041674627.5%
20031926332.8%
20021725833.7%
20011525133.6%
20001515234.4%
19991294736.4%
19981185042.4%
19971704425.9%
19961014342.6%
19951024140.2%
1994914145.1%

最佳论文

年份最佳论文
2025ReVISit 2: A Full Experiment Life Cycle User Study Framework
2025Beyond Problem Solving: Framing and Problem–Solution Co-Evolution in Data Visualization Design
2025Causality-based Visual Analytics of Sentiment Contagion in Social Media Topics
2025NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting
2025Toward a Logic of Generalization about Visualization as a Decision Aid
2025The Perils of Chart Deception: How Misleading Visualizations Affect Vision-Language Models
2025“They Aren’t Built For Me”: An Exploratory Study of Strategies for Measurement of Graphical Primitives in Tactile Graphics
2024VisEval: A Benchmark for Data Visualization in the Era of Large Language Models
2024Aardvark: Composite Visualizations of Trees Time-Series and Images
2024Entanglements for Visualization: Changing Research Outcomes through Feminist Theory
2024VADIS: A Visual Analytics Pipeline for Dynamic Document Representation and Information Seeking
2024Rapid and Precise Topological Comparison with Merge Tree Neural Networks
2024Hypertrix: An indicatrix for high-dimensional visualizations
2024PyGWalker: On-the-fly Assistant for Exploratory Visual Data Analysis
2023Gridded Glyphmaps for Supporting Spatial COVID-19 Modelling
2023Vortex Lens: Interactive Vortex Core Line Extraction using Observed Line Integral Convolution
2023Visualization of Discontinuous Vector Field Topology
2023TimeSplines: Sketch-based Authoring of Flexible and Idiosyncratic Timelines
2023Swaying the Public? Impacts of Election Forecast Visualizations on Emotion, Trust, and Intention in the 2022 U.S. Midterms
2023Fast Compressed Segmentation Volumes for Scientific Visualization
2023Affective Visualization Design: Leveraging the Emotional Impact of Data
2022Affective Learning Objectives for Communicative Visualizations
2022Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations
2022Uncertainty-Aware Multidimensional Scaling
2022Exploring D3 Implementation Challenges on Stack Overflow
2021Simultaneous Matrix Orderings for Graph Collections
2021Perception! Immersion! Empowerment! Superpowers as Inspiration for Visualization
2021IRVINE: Using Interactive Clustering and Labeling to Analyze Correlation Patterns: A Design Study from the Manufacturing of Electrical Engines
2021Feature Curves and Surfaces of 3D Asymmetric Tensor Fields
2021Jurassic Mark: Inattentional Blindness for a Datasaurus Reveals that Visualizations are Explored, not Seen
2001Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets
2000Volume illustration: non-photorealistic rendering of volume models
1999Hue-balls and lit-tensors for direct volume rendering of diffusion tensor fields
1998Interactive ray tracing for isosurface rendering
1997An anti-aliasing technique for splatting
1996Interactive visualization of 3D-vector fields using illuminated streamlines
1994Visualizing flow over curvilinear grid surfaces using line integral convolution
1994The topology of symmetric, second-order tensor fields
1993Texture splats for 3D scalar and vector field visualization
1993Geometric clipping using Boolean textures
1992Visualization of second order tensor fields and matrix data
1991The virtual windtunnel: An environment for the exploration of three-dimensional unsteady flows
1990Surface representations of two- and three-dimensional fluid flow topology

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