Collaborative Map Exploration
Collaborative Map Exploration is a collaborative geospatial visualization method that enables multiple users to simultaneously interact with, navigate, and analyze spatial data in a shared digital environment, distinguished by its support for real-time coordination, joint sensemaking, and distributed decision-making across geographically or cognitively dispersed participants.
11
Publications
287
Citations
33
Authors
21
Institutions
Publications per year
2017–2026
5
11
NeoGeography and Web 2.0: concepts, tools and applications
Andrew Hudson‐Smith, Andrew Crooks, Maurizio Gibin et al. · Journal of Location Based Services · 2009 · 102 citations
Computing, Geography, Visualization +17
Multi-Agent Collaborative Exploration through Graph-based Deep Reinforcement Learning
Tianze Luo, Budhitama Subagdja, Di Wang et al. · 2019 · 32 citations · Full text
Collaborative exploration for the construction of visual maps
Ioannis Rekleitis, Robert B. Sim, Gregory Dudek et al. · 2002 · 27 citations
Christophe Bortolaso, Matthew Oskamp, T.C. Nicholas Graham et al. · 2013 · 27 citations
1–5 of 11
33
2
h-index
2
h-index
2
h-index
2
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1
h-index
1–5 of 33
21

McGill University
Montreal, Canada
2 h-index
6 publications
111 citations
Dalhousie University
Halifax, Canada
2 h-index
2 publications
37 citations

Tampere University
Tampere, Finland
1 h-index
1 publications
14 citations
Institut français du Proche-Orient
Beirut, Lebanon
1 h-index
1 publications
14 citations
Gdańsk University of Technology
Gdansk, Poland
1 h-index
1 publications
19 citations
Research Council of Finland
Helsinki, Finland
1 h-index
1 publications
14 citations
BC Research (Canada)
Vancouver, Canada
1 h-index
1 publications
32 citations
Orient-Institut Beirut
Beirut, Lebanon
1 h-index
1 publications
14 citations
1–8 of 21
1 publications · 19 citations
1
h-index
1 publications · 14 citations
1
h-index
1 publications · 12 citations
1
h-index
1 publications · 102 citations
1
h-index
1–4