Large Matrix Visualization
Large Matrix Visualization is a methodological framework within information visualization that enables the representation and analysis of high-dimensional data matrices through heatmap-based techniques, distinguished by its focus on scalability, pattern preservation, and interactive exploration of large-scale datasets.
9
Publications
3.5K
Citations
19
Authors
10
Institutions
Publications per year
2017–2026
2
Parents
9
A Graphical Display of Large Correlation Matrices
D. Murdoch, E. Chow · The American Statistician · 1996 · 160 citations
A Graphical Display of Large Correlation Matrices
D. J. Murdoch, E. D. Chow · The American Statistician · 1996 · 37 citations
Jürgen Ziegler, Christoph Kunz, Veit Botsch · 2002 · 25 citations
1–5 of 9
19
2
h-index
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 19
10
Society for Chemical Engineering and Biotechnology
Frankfurt am Main, Germany
1 h-index
1 publications
11 citations
Fraunhofer Institute for Industrial Engineering
Stuttgart, Germany
1 h-index
3 publications
75 citations

University of Cincinnati
Cincinnati, United States
1 h-index
1 publications
11 citations
Universität Hamburg
Hamburg, Germany
1 h-index
1 publications
15 citations
Princeton University
Princeton, United States
1 h-index
2 publications
30 citations

University of Cincinnati Medical Center
Cincinnati, United States
1 h-index
1 publications
11 citations
Queen's University
Kingston, Canada
1 h-index
2 publications
320 citations

Cincinnati Children's Hospital Medical Center
Cincinnati, United States
1 h-index
2 publications
22 citations
1–8 of 10
2 publications · 3.2K citations
2
h-index
2 publications · 197 citations
2
h-index
Conference · 1 publications · 11 citations
1
h-index
1 publications · 11 citations
1
h-index
Repository · 1 publications · 15 citations
1
h-index
1–5