Special Issue "Information Visualization Theory and Applications"
Deadline for manuscript submissions: 30 April 2024 | Viewed by 1764
Interests: HCI; visual analytics; big data analytics; information visualization
Interests: data science; medical informatics and visualization; time-series analysis
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.
This Special Issue aims to seek high-quality papers that highlight visualization challenges to be accomplished, elucidate solutions for understanding domain problems through visualizations, and theoretical visualization principles for advancing visualization techniques and applications.
Dr. Dong Hyun Jeong
Dr. Soo-Yeon Ji
Dr. Bong-Keun Jeong
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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-blind 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 1600 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.
- information visualization
- science of user interactions in visualization
- visualization theory
- knowledge-assisted visualization
- visualization technique
- visualization in machine learning
- visualziatioin 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