Collaborative Exploration
Collaborative Exploration is a collaborative sensemaking process in which multiple users jointly navigate, manipulate, and investigate data spaces or visual representations in real time to discover patterns, generate insights, and construct shared understanding through interactive visual analytics in a synchronous collaboration setting.
134
Publications
5K
Citations
437
Authors
211
Institutions
Publications per year
2017–2026
55
134
1–5 of 134
437
4
h-index
4
h-index
4
h-index
Institut de Recherche en Informatique et Systèmes Aléatoires, France
3 publications · 48 citations
3
h-index
3
h-index
1–5 of 437
211

Centre National de la Recherche Scientifique
Paris, France
6 h-index
11 publications
401 citations

McGill University
Montreal, Canada
4 h-index
9 publications
434 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
180 citations
Dalhousie University
Halifax, Canada
3 h-index
3 publications
70 citations
Stanford University
Stanford, United States
3 h-index
5 publications
260 citations
University of Michigan
Ann Arbor, United States
3 h-index
6 publications
605 citations

Bauhaus-Universität Weimar
Weimar, Germany
2 h-index
9 publications
243 citations
Indiana University
Bloomington, United States
2 h-index
3 publications
44 citations
1–8 of 211
TVCG · 3 publications · 156 citations
3
h-index
3 publications · 95 citations
3
h-index
2 publications · 73 citations
2
h-index
2 publications · 28 citations
2
h-index
PACMHCI · 2 publications · 143 citations
2
h-index
1–5