Conference Information

IV 2026: International Conference on Information Visualisation

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Submission Date:
2026-04-30
Notification Date:
2026-06-01
Conference Date:
2026-07-28
Location:
London, UK
Years:
ICORE: C   QUALIS: B1   Viewed: 27745   Tracked: 1   Attend: 0
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Conference Partner Index (CP-I)

66.1 / 100
Ranked #415 of 5,693 conferences · Top 8%
Academic recognition (35%)
78
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
92
Community attention (10%)
20
Public record completeness (15%)
55

Inputs used: Listed as ICORE C, QUALIS B1 · Editions on record: 30 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 5

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-08

Call For Papers

IV 2026 (International Conference on Information Visualisation) is a ICORE C / QUALIS B1 conference held in London, UK on 2026-07-28. The paper submission deadline is 2026-04-30. Acceptance notifications are sent on 2026-06-01.

IV is committed to include state-of-the art papers on Information Visualisation, that nows include more and more automation and Artificial Intelligence. Topics of interest include, but are not limited to: Core Information Visualization / Visual Analytics Theories and Models in Information Visualization Human-Centred Design and Interaction Knowledge Visualization and Visual Thinking Visual Storytelling and Design for Insight Cognitive and Perceptual Aspects of Visualization Sustainable and Environmental Visualization AI- & Machine-Learning–Augmented Visualization / Visual Analytics With the expansion of AI in visualisation, the conference includes AI-focused themes: Explainable and Trustworthy AI in Visualization Visual Analytics for Data Science AI-Powered Knowledge Discovery and Pattern Recognition Multimodal and Cross-Modal Visualisation Immersive Visualisation: AR, VR, MR Human-AI Collaboration for Decision Support Interdisciplinary, Application-oriented, and Emerging Trend Areas Visualisation and artificial intelligence for medicine, healthcare and social good AI in Medical Visualization Healthcare Data Analytics Visualization & AI AI for Social Good Emerging Technologies in Medical Visualization The conference encourages submissions beyond traditional “visualization”, so interdisciplinary and cutting-edge applications/topics are welcome. The conference is organised in symposiums dedicated to specific topics and facilitated by an exceptional group of researchers.
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