Information Visualization is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications.
The journal is a core vehicle for developing a generic research agenda for the field by identifying and developing the unique and significant aspects of information visualization. Emphasis is placed on interdisciplinary material and on the close connection between theory and practice.
The scope of the journal includes, but is not limited to:
Design theories and methodologies
Applications and case studies
Perception and cognitive factors
Evaluation and usability studies
Interactive data exploration
Standards and visualization languages
Multidimensional and multivariate analysis
Knowledge discovery and visual data mining
Requirement engineering and task analysis
Visual Analytics

Editor-in-Chief
Chaomei Chen
Drexel University, USA
Advisory Editor
Ben Shneiderman
University of Maryland, USA
Associate Editors
Gennady Andrienko
Fraunhofer Institute IAIS, Germany
Niklas Elmqvist
University of Maryland, USA
Dainel Keim
University of Konstanz, Germany
Andreas Kerren
Linnaeus University, Sweden
Shixia Liu
Tsinghua University, China
Alan MacEachren
Penn State University, USA
Chris North
Virginia Tech, USA
Jonathan Roberts
Bangor University, UK
John Stasko
Georgia Institute of Technology, USA
Masahiro Takatsuka
University of Sydney, Australia
Jack van Wijk
Eindhoven University of Technology, Netherlands
Pak Chung Wong
ACT, USA