| Huang, T, “Larger crossing angles make network visualizations easier to read”, ICCGV 2016 : 18th International Conference on Computer Graphics and Vision, 26-27 September, Paris, France (2016) [Keynote Presentation] |
| Data Type | Value |
|---|
| Type of Research | Applied Research |
| Research Division | Information and Computing Sciences |
| Research Group | Library and information studies |
| Research Field | Human information interaction and retrieval |
| Research Objective Division | Expanding Knowledge |
| Research Objective Group | Expanding knowledge |
| Research Objective Field | Expanding knowledge in the information and computing sciences |
| Visit Item on eCite | http://ecite.utas.edu.au/113694 |
| Web of Science® Related URL | View the list of related articles on Web of Science® |
