A visualization paper typically falls into one of five categories: technique, system, application, evaluation, or theory. Some overlap does exist in practice between these categories.
In an ideal intellectual model, visualization proceeds from a theory to a technique, then an application, a system, then an evaluation of a system, but good techniques often derive from applications and cause development of new theories. Equally, evaluation can generate questions that lead to a new theory, technique, system and/or application.
Part of the peer review process thus involves reviewers judging where a paper fits best into the larger intellectual landscape, and a paper that fits multiple categories is often superior to a narrower paper that fits only a single category. Authors are therefore requested to choose what they think is the primary category of their submission, but a submission may be reclassified during the review process.

The paper types considered for EuroVis are the following:

  • A technique paper describes a new or significantly improved algorithm or technique in sufficient detail so that other researchers can reproduce the results. This technique should ideally be of general application rather than being restricted to a single task or single source of data, and the exposition should be focused on what the technique does, how it does it, when to use it, and what the computational and other costs are.
  • A system paper describes a solution to a problem where the major task is building a large complex software artifact, applying largely known visualization techniques. Here, the focus should be on the design decisions, the implications for software / hardware structure, and comparison with other systems.
  • An application paper normally starts with an encapsulated description of a problem domain and the questions to be resolved by visualization, then describes the application of visualization to the task, any novel techniques developed, and how the visualization solution answered the questions posed. Techniques related to a single problem are normally application papers, and evaluation is often limited because many application papers are essentially custom software for a specific problem.
  • An evaluation paper is usually an empirical assessment of how effective a technique or system is when used by humans. As such, these often involve rigorous experimental protocols and statistical analysis, but this is not the only possible form of evaluation. Good evaluation papers go beyond statistical analysis to explain causes, construct models and predict effectiveness of related systems.
  • A theory paper describes aspects of the process by which humans construct visualizations to explore data or communicate with other humans. These papers do not usually involve implementation, but contribute by illuminating the role of visualization in data analysis and often by proposing models for improving visualization as a discipline.
With this call for papers, we invite submission of high-quality papers that will set the standard in the field and stimulate future trends.

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 visualizations.

Suggested topics include, but are not limited to:

  • Visualization Taxonomies and Models
  • Non-Spatial Data: visualization of graphs and trees, high-dimensional data, dimensionality reduction for visualization, ambient information in visualization, text and document visualization, and the visualization of time series data
  • Large Data Visualization: visualization of time-varying data, streams, compression techniques, parallel and distributed visualization, scalability, visualization over networks, visualization hardware and acceleration techniques
  • Spatial Data in Visualization: visualization of scalar, vector, and tensor fields, multi-field, multi-variate, and multi-dimensional visualization, multi-resolution techniques, visualization of irregular and unstructured grid data, geographic data, and molecular data
  • Visualization Techniques: metrical, geometrical, topological, pixel-oriented, point-based, volume-based, icon-/glyph-based, graph-based, feature-based, hierarchical, illustrative, view-dependent, focus+context, statistical, and animated visualization techniques.
  • Visual Analytics, Visual Data Mining, and Knowledge Discovery: in particular the integration of computational approaches with interactive visualization, visualization for exploration, analysis, and presentation.
  • Interaction: human-computer interaction for visualization, interaction design, zooming and navigation, linking & brushing, coordinated multiple views, data editing, manipulation, and deformation, guided visualization and interactive visual storytelling.
  • Evaluation and User Studies: task and requirements analysis, metrics and benchmarks, qualitative evaluation, quantitative evaluation, laboratory studies, field studies, usability studies
  • Application Areas of Visualization: in the physical sciences, bioinformatics and in life sciences, and in engineering, geographic and earth/space/environmental visualization, information sciences, software and financial visualization, and applications in the humanities, social sciences, and education

General Topics: visual design, cognition, perception, and aesthetics, uncertainty, design studies, novel algorithms and mathematics, presentation/production/ dissemination, collaborative and distributed visualization, mobile/ubiquitous visualization, visualization systems, problem-solving environments, virtual environments, sonification and haptics, visualization for the masses.

For any questions concerning full paper submissions please contact the co-chairs: This email address is being protected from spambots. You need JavaScript enabled to view it.

Important Dates

An abstract is due by 23:59GMT, on December the 5th 2016. The full paper deadline is 23:59GMT, on Monday 12th of December 2016.


We do not impose strict maximum lengths for submitted papers to the full papers track. However, it is unusual for papers to exceed 10 pages (in CGF latex style including all images but excluding references). Papers should only be as long as their content would justify. Reviewers might rate a submission lower if it is perceived as being unnecessarily long. Authors are encouraged to use supplementary documents to provide extra contents.

Submissions must not reveal the authors’ identities.

Abstracts and full papers are submitted using the Precision Conference System (PCS).

For papers that have previously been reviewed for other venues and have been rejected or withdrawn, the authors can provide a cover letter describing the changes they have made to comply with reviewers' comments and requests. This procedure is strongly recommended and it is meant to improve the efficiency of the reviewing process but does not imply reviewer continuity. The cover letter is to be submitted as an 'Additional Material'.

Papers may be submitted as technique, systems, application, evaluation or theory papers, but these classifications may be changed during the review process.

For detailed paper preparation and submission instructions please refer to the guidelines in the submitters’ area of the conference web pages (

Program Co-Chairs

Jeffrey Heer, University of Washington
Timo Ropinski, Ulm University, Germany
Jarke van Wijk, Eindhoven University of Technology, the Netherlands

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