Scalable Navigation
Scalable Navigation is a computational framework within flexible media that enables adaptive and efficient traversal of information spaces by dynamically adjusting navigational structures to accommodate varying scales of content complexity and user interaction demands.
15
Publications
470
Citations
50
Authors
27
Institutions
Publications per year
2017–2026
4
Parents
15
1–5 of 15
50
Institut de Recherche en Informatique et Systèmes Aléatoires, France
2 publications · 106 citations
2
h-index
2
h-index
2
h-index
2
h-index
Institut de Recherche en Informatique et Systèmes Aléatoires, France
2 publications · 106 citations
2
h-index
1–5 of 50
27
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
8 publications
424 citations
Institut de Recherche en Informatique et Systèmes Aléatoires
Rennes, France
2 h-index
8 publications
424 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
1 publications
30 citations
Institute of Electrical and Electronics Engineers
Piscataway, United States
1 h-index
2 publications
60 citations
George Mason University
Fairfax, United States
1 h-index
1 publications
45 citations
University of Cyprus
Nicosia, Cyprus
1 h-index
2 publications
48 citations
State Key Laboratory of Industrial Control Technology
Hangzhou, China
1 h-index
2 publications
78 citations

Tel Aviv University
Tel Aviv, Israel
1 h-index
3 publications
69 citations
1–8 of 27
1 publications · 11 citations
1
h-index
TKDE · 1 publications · 45 citations
1
h-index
TVCG · 1 publications · 30 citations
1
h-index
TMCCI · 1 publications · 39 citations
1
h-index
Repository · 1 publications · 17 citations
1
h-index
1–5