SAGE

Information Visualization Template

Write in a clean editor, then format for Information Visualization in one click — DocuGuru applies the official SAGE template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Information Visualization format

Information Visualization is a peer-reviewed journal published by SAGE, covering Data Visualization and Analytics, Data Management and Algorithms, Complex Network Analysis Techniques.

PublisherSAGE
Reference styleAuthor–year (Harvard)
Author–year — (Smith, 2023) in the text
Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Information Visualization, 12(3), pp. 45–58.

Formats any DOI in Information Visualization style. No sign-up.

Publishes research inData Visualization and Analytics Data Management and Algorithms Complex Network Analysis Techniques Video Analysis and Summarization GNSS positioning and interference
ISSN1473-8716
Citation impact (2-yr)1.45
h-index66
i10-index335
Total citations19,545
Top institutions publishing hereUniversity of Maryland, College Park
Journal websiteivi.sagepub.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Information Visualization per year

51
2014
19
2015
54
2016
27
2017
18
2018
29
2019
36
2020
23
2021
18
2022
19
2023
25
2024
26
2025

Citation impact of Information Visualization by publication year

188
2014
664
2015
314
2016
482
2017
229
2018
210
2019
319
2020
196
2021
184
2022
124
2023
90
2024
12
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Information Visualization

Visual comparison for information visualization

Michael Gleicher, Danielle Albers, Rick Walker et al. · 7 Sep 2011

Data analysis often involves the comparison of complex objects. With the ever increasing amounts and complexity of data, the demand for systems to help with these comparisons is also growing. Increasingly, information visualization tools support such comparisons explicitly, beyond simply allowing a viewer to examine each object individually. In this paper, we argue that the…

A Comparison between Concept Maps, Mind Maps, Conceptual Diagrams, and Visual Metaphors as Complementary Tools for Knowledge Construction and Sharing

Martin J. Eppler · 22 Jun 2006

In this article, Novak's concept mapping technique is compared to three other types of visualization formats, namely mind maps, conceptual diagrams, and visual metaphors. The application parameters and the respective advantages and disadvantages of each format for learning and knowledge sharing are reviewed and discussed. It is argued that the combination of these four visualization…

The Origins of the Concept Mapping Tool and the Continuing Evolution of the Tool

Joseph D. Novak, Alberto J. Cañas · 1 Sep 2006

A research program at Cornell University that sought to study the ability of children to acquire science concepts and the effect of this learning on later schooling led to the need for a new tool to describe explicit changes in children's conceptual understanding. Concept mapping was invented in 1972 to meet this need, and subsequently…

Cognitive Measurements of Graph Aesthetics

Colin Ware, Helen C. Purchase, Linda Colpoys et al. · 1 Jun 2002

A large class of diagrams can be informally characterized as node–link diagrams. Typically nodes represent entities, and links represent relationships between them. The discipline of graph drawing is concerned with methods for drawing abstract versions of such diagrams. At the foundation of the discipline are a set of graph aesthetics (rules for graph layout) that,…

Towards a taxonomy of movement patterns

Somayeh Dodge, Robert Weibel, Anna-Katharina Lautenschütz · 7 Aug 2008

Areview of research that has been carried out on data mining and visual analysis of movement patterns suggests that there is little agreement on the relevant types of movement patterns and only few, isolated definitions of these exist. Since the research interest in this area has recently started to soar, we believe that this is…

Information Visualization template — frequently asked questions

How do I write a paper in the Information Visualization format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Information Visualization template. When you export, DocuGuru compiles the paper into the official SAGE format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Information Visualization use?
Information Visualization uses Author–year (Harvard) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Information Visualization, 12(3), pp. 45–58.
Do I need to know LaTeX to submit to Information Visualization?
No. DocuGuru generates the sagej LaTeX class and compiles the PDF for you in the background, so you get a SAGE-ready Information Visualization document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Information Visualization template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Information Visualization format with correct headings, figures, tables, and author–year citations.
Who publishes Information Visualization?
Information Visualization is a multidisciplinary journal published by SAGE. DocuGuru's Information Visualization template matches SAGE's official submission format.
Can I export a submission-ready Information Visualization PDF?
Yes — DocuGuru produces a PDF built with the official Information Visualization template (the sagej class) that is ready to submit to SAGE, together with the matching LaTeX source files.
How much does the Information Visualization template cost?
You can start writing in the Information Visualization template for free. Exporting the final submission-ready Information Visualization PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
Use the Information Visualization template