Exploratory Data Visualization
Exploratory Data Visualization is a data visualization technique that enables analysts to iteratively examine and uncover underlying patterns, anomalies, and structures in data to inform hypothesis generation and further analysis.
400
Publications
63.5K
Citations
1.2K
Authors
504
Institutions
Publications per year
2017–2026
123
Parents
400
Nonlinear Dimensionality Reduction by Locally Linear Embedding
Sam T. Roweis, Lawrence K. Saul · Science · 2000 · 15K citations
1–5 of 400
1.2K
Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany
6 publications · 353 citations
6
h-index
Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany
6 publications · 353 citations
6
h-index
5
h-index
5
h-index
5
h-index
1–5 of 1.2K
504
Brown University
Providence, United States
8 h-index
26 publications
1.4K citations
Stanford University
Stanford, United States
8 h-index
27 publications
1.8K citations
The Ohio State University
Columbus, United States
7 h-index
12 publications
596 citations

Pennsylvania State University
State College, United States
7 h-index
21 publications
9K citations
Microsoft (United States)
Redmond, United States
6 h-index
12 publications
1.4K citations
University of Washington
Seattle, United States
6 h-index
12 publications
688 citations
Fraunhofer Institute for Intelligent Analysis and Information Systems
Sankt Augustin, Germany
6 h-index
14 publications
892 citations

Pacific Northwest National Laboratory
Richland, United States
6 h-index
30 publications
2.5K citations
1–8 of 504
TVCG · 23 publications · 2K citations
20
h-index
8 publications · 319 citations
8
h-index
7 publications · 5K citations
7
h-index
Repository · 7 publications · 180 citations
7
h-index
5 publications · 180 citations
5
h-index
1–5