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How to Reject a VIS Paper, or Not?
IEEE Computer Graphics and Applications
|November 11, 2025
Summary
Improving peer review for visualization and visual analytics (VIS) is crucial. Tailoring review criteria to specialized research areas ensures impactful, innovative VIS research is published promptly.
Area of Science:
- Data Visualization and Visual Analytics (VIS)
Background:
- Peer review is essential for VIS publication quality.
- Recent trends show an increase in VIS paper rejections.
- The VIS field has diversified significantly with specialized research areas.
Purpose of the Study:
- Analyze the causes behind the ease of rejecting VIS papers.
- Propose remedies to improve the VIS peer review process.
- Ensure high-quality, impactful VIS research is published efficiently.
Main Methods:
- Analysis of current VIS peer review practices.
- Identification of challenges in reviewing diverse VIS contributions.
- Development of recommendations for tailored review criteria.
Main Results:
- The broad scope of VIS necessitates specialized review criteria.
- Current review processes may not adequately assess contributions from all sub-fields.
- A more nuanced approach can foster innovation and rigor.
Conclusions:
- Implementing area-specific review criteria is vital for VIS.
- This will facilitate the publication of original, impactful VIS research.
- Enhancing the review process will advance data science contributions.
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