Collaborative Data Exploration
Collaborative Data Exploration is a scholarly framework that enables multiple users to simultaneously engage in the interactive analysis and interpretation of complex datasets within shared digital environments, distinguished by its integration of asynchronous collaboration, co-located collaborative visualization, and immersive data exploration techniques to support collective insight generation.
126
Publications
10.3K
Citations
651
Authors
262
Institutions
Publications per year
2017–2026
59
126
Chieh‐Yih Wan, Shane B. Eisenman, Andrew T. Campbell · 2003 · 896 citations
Simon Duquennoy, Beshr Al Nahas, Olaf Landsiedel et al. · 2015 · 390 citations · Full text
Computing, Information Systems, Management Information Systems +13
1–5 of 126
651
4
h-index
3
h-index
3
h-index
Institut national de recherche en sciences et technologies du numérique, France
3 publications · 206 citations
3
h-index
2
h-index
1–5 of 651
262
Microsoft (United States)
Redmond, United States
6 h-index
13 publications
2.2K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
6 h-index
9 publications
1.1K citations
Georgia Institute of Technology
Atlanta, United States
6 h-index
12 publications
562 citations

Monash University
Melbourne, Australia
5 h-index
32 publications
1.8K citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
10 publications
475 citations

University of Oslo
Oslo, Norway
4 h-index
5 publications
1.4K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
4 h-index
13 publications
2.2K citations
Wellesley College
Wellesley, United States
4 h-index
16 publications
887 citations
1–8 of 262
TVCG · 8 publications · 480 citations
8
h-index
4 publications · 237 citations
4
h-index
3 publications · 246 citations
3
h-index
PACMHCI · 3 publications · 208 citations
3
h-index
3 publications · 61 citations
3
h-index
1–5