10 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.HC2020★ 10 cited
RAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses
M. Chen, A. Abdul-Rahman, D. Archambault +18
The effort for combating the COVID-19 pandemic around the world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, an…
cs.HC2017★ 1 cited
Revisited Experimental Comparison of Node-Link and Matrix Representations
Mershack Okoe, Radu Jianu, Stephen Kobourov
Visualizing network data is applicable in domains such as biology, engineering, and social sciences. We report the results of a study comparing the effectiveness of the two primary…