mlsanityData to 14 Oct 2026

An Image-based Typology for Visualization

arXiv 2403.05594 ↗First posted 7 Mar 2024cs.HC cs.CV cs.GRcited by 1

Not on the map. Why?

Abstract (arXiv)

We present and discuss the results of a qualitative analysis of visualization images to derive an image-based typology of visualizations. For each image, we seek to identify its main focus or the essential stimuli. As a result, we derived 10 image-based visualization types. We describe coding decisions we made in the derivation process. The resulting image typology can serve a number of purposes: enabling researchers and practitioners to identify visual design styles, facilitating the categorization of visualization images for the purpose of research and teaching, enabling researchers to study the evolution of the community and its research output over time, and facilitating a discussion of standardization in visualization. In addition, the tool and dataset enable scholars to closely examine the images and how they are published and communicated in our community. osf.io/dxjwt presents a pre-registration and all supplemental materials.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 24 of its 170 references that are in the map. First posted on arXiv 7 Mar 2024.

Builds on

24 of 170 references.

References · 24

  1. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  2. 2018This Looks Like That: Deep Learning for Interpretable Image Recognitioncited by 737
  3. 2023BioCLIP: A Vision Foundation Model for the Tree of Lifecited by 161
  4. 2023Getting aligned on representational alignmentcited by 143
  5. 2019VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repositorycited by 28
  6. 2017Beagle: Automated Extraction and Interpretation of Visualizations from the Webcited by 19
  7. 2022Striking a Balance: Reader Takeaways and Preferences when Integrating Text and Chartscited by 17
  8. 2020VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publicationscited by 13
  9. 2020Direct Volume Rendering with Nonparametric Models of Uncertaintycited by 10
  10. 2020Topology Density Map for Urban Data Visualization and Analysiscited by 8
  11. 2020Toward Quantifying Ambiguities in Artistic Imagescited by 8
  12. 2022VAID: Indexing View Designs in Visual Analytics Systemcited by 5
12 more
  1. 2020Githru: Visual Analytics for Understanding Software Development History Through Git Metadata Analysiscited by 4
  2. 2020Implicit Multidimensional Projection of Local Subspacescited by 4
  3. 2020Cartographic Relief Shading with Neural Networkscited by 4
  4. 2014Toward a deeper understanding of Visualization through keyword analysiscited by 3
  5. 2020Scalability of Network Visualisation from a Cognitive Load Perspectivecited by 3
  6. 2023Affective Visualization Design: Leveraging the Emotional Impact of Datacited by 3
  7. 2018Toward A Deep Understanding of What Makes a Scientific Visualization Memorablecited by 2
  8. 2019Sea of Genes: Combining Animation and Narrative Strategies to Visualize Metagenomic Data for Museumscited by 2
  9. 2020SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualizationcited by 2
  10. 2022BeauVis: A Validated Scale for Measuring the Aesthetic Pleasure of Visual Representationscited by 2
  11. 2020Data Visceralization: Enabling Deeper Understanding of Data Using Virtual Realitycited by 1
  12. 2023Subjective visualization experiences: impact of visual design and experimental designcited by 1

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.

  1. 2025Do Vision-Language Models See Visualizations Like Humans? Alignment in Chart Categorizationcited by 0