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IEEE Transactions on Visualization and Computer Graphics is a peer-reviewed journal published by IEEE, covering Data Visualization and Analytics, Computer Graphics and Visualization Techniques, 3D Shape Modeling and Analysis. Over its lifetime it has published 8,022 papers, which have received 306,486 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Visualization and Computer Graphics style. No sign-up. |
| Publishes research in | Data Visualization and Analytics Computer Graphics and Visualization Techniques 3D Shape Modeling and Analysis Advanced Vision and Imaging Virtual Reality Applications and Impacts |
| ISSN | 1077-2626 |
| Citation impact (2-yr) | 3.62 |
| h-index | 205 |
| i10-index | 4,513 |
| Top institutions publishing here | Zhejiang University |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Data-Driven Documents (D3) is a novel representation-transparent approach to visualization for the web. Rather than hide the underlying scenegraph within a toolkit-specific abstraction, D3 enables direct inspection and manipulation of a native representation: the standard document object model (DOM). With D3, designers selectively bind input data to arbitrary document elements, applying dynamic transforms to both…
Understanding relationships between sets is an important analysis task that has received widespread attention in the visualization community. The major challenge in this context is the combinatorial explosion of the number of set intersections if the number of sets exceeds a trivial threshold. In this paper we introduce UpSet, a novel visualization technique for the…
Never before in history has data been generated at such high volumes as it is today. Exploring and analyzing the vast volumes of data is becoming increasingly difficult. Information visualization and visual data mining can help to deal with the flood of information. The advantage of visual data exploration is that the user is directly…
This is a survey on graph visualization and navigation techniques, as used in information visualization. Graphs appear in numerous applications such as Web browsing, state-transition diagrams, and data structures. The ability to visualize and to navigate in these potentially large, abstract graphs is often a crucial part of an application. Information visualization has specific requirements,…
The Ball-Pivoting Algorithm (BPA) computes a triangle mesh interpolating a given point cloud. Typically, the points are surface samples acquired with multiple range scans of an object. The principle of the BPA is very simple: Three points form a triangle if a ball of a user-specified radius p touches them without containing any other point.…
