Information Visualization Theory and Applications, 2nd Edition

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 221

Editors


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Guest Editor
Department of Computer Science and Information Technology, University of the District of Columbia, Washington, DC 20759, USA
Interests: data analytics; information visualization; uncertainty quantification in deep learning
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Guest Editor
Department of Computer Science, Bowie State University, Bowie, MD 20715, USA
Interests: data science; medical informatics and visualization; time-series analysis
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Guest Editor
Department of Management and Decision Sciences, Coastal Carolina University, Conway, SC 29528, USA
Interests: data analytics; visualization; management information systems; HCI
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Special Issue Information

Dear Colleagues,

In data science, information visualization has become a central component to understanding complex scientific problems or data through visualization. Thus, designing innovative visualization systems is essential to address and solve various domain problems. For this, a theoretical understanding of visualization models and design principles through visual encoding, interaction, and/or analysis tasks is critical to solving domain problems and understanding data effectively. Identifying possible implications from theories of perception, cognition, design, and/or aesthetics is also important. Automated design guidelines and visualization recommendations should be determined to find scientific limitations of understanding data through visualization.

For this Special Issue, we seek high-quality papers that highlight visualization challenges to be accomplished, elucidate solutions for understanding domain problems through visualizations, and discuss theoretical visualization principles for advancing visualization techniques and applications.

Prof. Dr. Dong Hyun Jeong
Prof. Dr. Soo-Yeon Ji
Prof. Dr. Bong-Keun Jeong
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • information visualization
  • science of user interactions in visualization
  • visualization theory
  • knowledge-assisted visualization
  • visualization technique
  • visualization in machine learning
  • visualization applications and design studies
  • evaluation and empirical research in visualization
  • visual data analysis and knowledge discovery
  • visual representation and interaction
  • visualization applications
  • visualization taxonomies and models
  • visualization algorithms and technologies
  • uncertainty visualization
  • visualization tools and systems for simulation and modeling

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