activity
20172022
most citedRAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses

10 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.GR20224 cited

Not As Easy As You Think -- Experiences and Lessons Learnt from Trying to Create a Bottom-Up Visualization Image Typology

Jian Chen, Petra Isenberg, Robert S. Laramee +4

We present and discuss the results of a two-year qualitative analysis of images published in IEEE Visualization (VIS) papers. Specifically, we derive a typology of 13 visualization…

cs.HC202010 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.HC20203 cited

Studying Visualization Guidelines According to Grounded Theory

Alexandra Diehl, Matthias Kraus, Alfie Abdul-Rahman +5

Visualization guidelines, if defined properly, are invaluable to both practical applications and the theoretical foundation of visualization. In this paper, we present a collection…

hep-lat2019

Joint Contour Net Analysis for Feature Detection in Lattice Quantum Chromodynamics Data

Dean P. Thomas, Rita Borgo, Robert S. Laramee +1

In this paper we demonstrate the use of multivariate topological algorithms to analyse and interpret Lattice Quantum Chromodynamics (QCD) data. Lattice QCD is a long established fi…

hep-lat2017

QCDVis: a tool for the visualisation of Quantum Chromodynamics (QCD) Data

Dean P. Thomas, Rita Borgo, Robert S. Laramee +1

Quantum chromodynamics, most commonly referred to as QCD, is a relativistic quantum field theory for the strong interaction between subatomic particles called quarks and gluons. Th…