Cross-Device Data Exploration is a collaborative visualization approach that enables users to investigate and analyze shared datasets across multiple heterogeneous devices by leveraging distributed interaction techniques and synchronized data representations to support fluid transitions and coordinated views in multi-device environments.
4
Publications
172
Citations
29
Authors
12
Institutions
Publications per year
2017–2026
3
Publications
4
Tom Horak, Sriram Karthik Badam, Niklas Elmqvist et al. · 2018 · 78 citations
Techniques for Flexible Responsive Visualization Design
Jane Hoffswell, Wilmot Li, Zhicheng Liu · 2020 · 63 citations
Computing, Design, Visualization +12
Wearable Sensors for Precise Exercise Monitoring and Analysis
Bo Su, Fengyu Li, Bingtian Su et al. · Biosensors · 2025 · 10 citations · Full text
1–5 of 4
Authors
29
- HB
1
h-index
- JG
1
h-index
- MP
1
h-index
- TH
1
h-index
- RD
1
h-index
1–5 of 29
Institutions
12
University College London
London, United Kingdom
1 h-index
1 publications
19 citations
Cornell University
Ithaca, United States
1 h-index
1 publications
19 citations
University of Maryland, College Park
College Park, United States
1 h-index
2 publications
156 citations
University of Applied Sciences St Pölten
St. Pölten, Austria
1 h-index
6 publications
72 citations
Microsoft (United States)
Redmond, United States
1 h-index
14 publications
266 citations
Adobe Systems (United States)
San Jose, United States
1 h-index
2 publications
126 citations
Technische Universität Dresden
Dresden, Germany
1 h-index
2 publications
156 citations
ETH Zurich
Zurich, Switzerland
1 h-index
1 publications
19 citations
1–8 of 12
Venues
- Biosensors
1 publications · 10 citations
1–1