Personalized Mapping
Personalized Mapping is a methodological framework within interactive mapping that integrates user-specific preferences, behaviors, or contextual data to dynamically tailor spatial representations, distinguishing it from generic or one-size-fits-all mapping approaches.
17
Publications
493
Citations
67
Authors
26
Institutions
Publications per year
2017–2026
5
Parents
17
1–5 of 17
67
4
h-index
3
h-index
University of North Carolina at Charlotte, United States
3 publications · 93 citations
3
h-index
2
h-index
2
h-index
1–5 of 67
26
University College Dublin
Dublin, Ireland
4 h-index
9 publications
248 citations

University of North Carolina at Charlotte
Charlotte, United States
3 h-index
3 publications
93 citations

Tokushima University
Tokushima, Japan
2 h-index
6 publications
471 citations

Universidad Politécnica de Madrid
Madrid, Spain
1 h-index
3 publications
57 citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
1 publications
26 citations
Université Paris Cité
Paris, France
1 h-index
2 publications
30 citations
University of Washington
Seattle, United States
1 h-index
2 publications
66 citations
Torino e-district
Turin, Italy
1 h-index
3 publications
42 citations
1–8 of 26
1 publications · 14 citations
1
h-index
1 publications · 31 citations
1
h-index
IJGI · 1 publications · 19 citations
1
h-index
1 publications · 26 citations
1
h-index
IJWET · 1 publications · 18 citations
1
h-index
1–5