HCOct 16, 2021

Surveying Wonderland for many more literature visualization techniques

arXiv:2110.08584v14 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for more diverse visualization methods for researchers and practitioners, but it is incremental as it builds on existing surveys and techniques.

The paper tackled the problem of limited literature visualization techniques by surveying existing visualizations across domains and creating new ones, resulting in the identification of 58 techniques that suggest a wider variety beyond research disciplines.

There are still many potential literature visualizations to be discovered. By focusing on a single text, the author surveys many existing visualizations across research domains, in the wild, and creates new visualizations. 58 techniques are indicated, suggesting a wider variety of visualizations beyond research disciplines.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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