Distributed Graph Visualization
Distributed Graph Visualization is a computational framework that enables the visualization of large-scale graphs by partitioning both data and rendering tasks across multiple interconnected processing nodes to overcome memory, computational, and display limitations inherent in centralized systems.
11
Publications
191
Citations
27
Authors
14
Institutions
Publications per year
2017–2026
2
Parents
11
Cluster busting in anchored graph drawing
Kelly Lyons · 1992 · 30 citations
Large graph visualizations using a distributed computing platform
Alessio Arleo, Walter Didimo, Giuseppe Liotta et al. · Information Sciences · 2016 · 25 citations
TeGViz: Distributed Tera-Scale Graph Generation and Visualization
Byungsoo Jeon, Inah Jeon, U Kang · 2015 · 15 citations
1–5 of 11
27
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 27
14
Université de Bordeaux
Bordeaux, France
3 h-index
8 publications
100 citations
Laboratoire Bordelais de Recherche en Informatique
Talence, France
3 h-index
8 publications
100 citations
Institut Polytechnique de Bordeaux
Bordeaux, France
2 h-index
3 publications
50 citations
University of Perugia
Perugia, Italy
2 h-index
7 publications
199 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
1 publications
14 citations
LG (South Korea)
Seoul, South Korea
1 h-index
1 publications
15 citations
University of California, Irvine
Irvine, United States
1 h-index
3 publications
33 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
1 h-index
1 publications
15 citations
1–8 of 14
ENTCS · 3 publications · 42 citations
3
h-index
TPDS · 1 publications · 33 citations
1
h-index
1 publications · 25 citations
1
h-index
1–3