IEEE VIS Topic & Venue Selector
Guides academic researchers in selecting optimal IEEE VIS primary areas and sibling publication venues based on contribution type and evidence maturity.
Guides academic researchers in selecting optimal IEEE VIS primary areas and sibling publication venues based on contribution type and evidence maturity.
The VIS Topic Selection skill helps data visualization researchers correctly position their work before drafting papers. It provides structured decision frameworks to determine whether a project truly qualifies as a visualization paper or should be routed to sibling venues like EuroVis, PacificVis, CHI, SIGGRAPH, or the IEEE TVCG direct journal track. By mapping research contributions across the six unified IEEE VIS areas—Theoretical & Empirical, Applications, Systems & Rendering, Representations & Interaction, Data Transformations, and Analytics & Decisions—this skill ensures projects target the right reviewer pool and meet community evaluation standards.