Special Issue - Information Visualization Journal

This Special Issue builds upon discussions initiated at the GDxDR: Bridging Graph Drawing and Dimensionality Reduction Workshop at EuroVis 2026 (Nottingham, UK). It seeks to consolidate emerging research connecting these domains by inviting extended and revised versions of selected workshop papers, as well as open submissions from the broader community. More information about the submission link will be available soon.

Papers published on the GDxDR 2026 workshop will be invited to submit an extended version to this special issue. The idea is to provide at least 50% new content compared to their original versions, in accordance with journal policies, and to ensure substantial added value in theoretical, methodological, empirical, or systems contributions. To build broad engagement beyond the EuroVis community and attract diverse perspectives, the Special Issue will also be open to direct submissions worldwide, provided they align with the theme and meet the journal’s high-quality standards.

The Special Issue will explore how principles, metrics, and evaluation practices from GD and DR can mutually inform one another to advance human-centered visualization. It will emphasize conceptual synthesis, methodological reflection, and empirical validation, establishing GDxDR integration as a recognized research direction within the visualization field. Topics of interest include, but are not limited to:

• Conceptual and methodological connections between graph drawing and dimensionality reduction

• Evaluation methodologies, interpretability, and stability in layout and embedding techniques

• Human-centered and perceptual aspects of GD and DR

• Quality metrics, scalability, and reliability in visual representations