Information Visualization

Aims & Scope

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

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2
2024	1.80

SJR (SCImago Journal Rank)

Year	Value
2024	0.305

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	55

Journal Rank

Year	Value
2024	16473

Journal Citation Indicator

Year	Value
2024	145

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Visual comparison for information visualization

  Citation: 436

  Authors: Michael, Danielle, Rick, Ilir, Charles D., Jonathan C.

• A Comparison between Concept Maps, Mind Maps, Conceptual Diagrams, and Visual Metaphors as Complementary Tools for Knowledge Construction and Sharing

  Citation: 283

  Authors: Martin J

• Cognitive Measurements of Graph Aesthetics

  Citation: 255

  Authors: Colin, Helen, Linda, Matthew

• Towards a taxonomy of movement patterns

  Citation: 251

  Authors: Somayeh, Robert, Anna-Katharina

• Jigsaw: Supporting Investigative Analysis through Interactive Visualization

  Citation: 248

  Authors: John, Carsten, Zhicheng

• Research directions in data wrangling: Visualizations and transformations for usable and credible data

  Citation: 241

  Authors: Sean, Jeffrey, Catherine, Jessie, Frank, Nathalie Henry, Chris, Bongshin, Dominique, Paolo

• On the Readability of Graphs Using Node-Link and Matrix-Based Representations: A Controlled Experiment and Statistical Analysis

  Citation: 233

  Authors: Mohammad, Jean-Daniel, Philippe

• Visual analytics of movement: An overview of methods, tools and procedures

  Citation: 230

  Authors: Natalia, Gennady

• Collaborative visualization: Definition, challenges, and research agenda

  Citation: 229

  Authors: Petra, Niklas, Jean, Daniel, Hans

• Dynamic Query Tools for Time Series Data Sets: Timebox Widgets for Interactive Exploration

  Citation: 220

  Authors: Harry, Ben

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