Computational Systems & Digital Futures

Data Visualization

IndexCopernicus ICV 2022: 83.03

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Aims and Scope

To explore the design, development, and evaluation of visual representations that facilitate the understanding of complex data,
To examine innovative visualization techniques that enhance pattern recognition, insight generation, and decision-making,
To investigate the role of data aesthetics, interactivity, and user-centered design in effective visual communication,
To encourage interdisciplinary research bridging computer science, design, statistics, cognitive science, and digital humanities

This topic welcomes research articles, design studies, applied case analyses, tool development papers, and theoretical contributions on topics such as scientific visualization, interactive dashboards, real-time data visualization, big data representation, geospatial visualizations, and immersive (AR/VR) visual storytelling.

Peer Review Process

All submissions in the Data Visualization topic undergo a double-blind peer review by experts in data science, visual design, human-computer interaction, and computational systems. Manuscripts are assessed for originality, usability, technical quality, and relevance to the advancement of visual analytics and knowledge dissemination.

Why Publish on Data Visualization in JISDCES?

Publishing in JISDCES offers a dynamic and multidisciplinary platform for scholars, developers, and designers working at the intersection of data and visual communication.

  • Cross-Disciplinary Impact: Engage audiences across science, technology, arts, education, and policy.

  • Global Open Access: Increase the reach and impact of your work through free global access.

  • Innovative Format Flexibility: Submit visual essays, interactive prototypes, and multimedia-rich documentation.

  • Timely Peer Review: Benefit from professional editorial guidance and efficient publication timelines.

  • Practical and Academic Relevance: Contribute to the growing field of data storytelling and evidence-based decision support.

Submit Your Manuscript

We welcome contributions from data scientists, UX designers, developers, academics, and researchers working on all aspects of data visualization.

📝 Submit Online: https://www.jisdces.com/submit.php
📧 Email for Submissions/Queries: support@jisdces.com, submission@jisdces.com



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