Cited by 34Privacy-Preserving Technologies in DataPrivacy, Security, and Data ProtectionHuman Mobility and Location-Based Analysis

Location privacy models in mobile applications: Conceptual view and research directions

Damiani, Maria Luisa·2014·GeoInformatica

Integrity signals

Registry

Crossref · 10.1007/s10707-014-0205-7

Cites

59 of 59 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Damiani, M. L.
Affiliations
University of Milan (IT)
Corresponding author
Damiani, Maria Luisa
Venue
GeoInformatica
Published
2014-03-13
Volume
18
Issue
4
Pages
819-842
ISSN
  • 1384-6175 (ISSN-L)
  • 1573-7624
OpenAlex
W1980001132
Cited by
34
References
59
Citations by year
2023: 2 · 2022: 2 · 2021: 3 · 2020: 3 · 2019: 4 · 2018: 5 · 2017: 7 · 2016: 5 · 2015: 2 · 2014: 1
FWCI
4.98
Type
journal article
Language
en
Open access
closed
Locations
GeoInformatica (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Social Sciences › Transportation › Human Mobility and Location-Based Analysis
Keywords
location privacy, privacy models, application model, privacy measurement, conceptual framework

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review