Cited by 93Vehicular Ad Hoc Networks (VANETs)scientometrics and bibliometrics researchPsychology Research and Bibliometrics

Scientometric analysis of literature on distributed vehicular networks : VOSViewer visualization techniques

Sood, Sandeep Kumar, Kumar, Navin, Saini, Munish·2021·Artificial Intelligence Review

Integrity signals

Registry

Crossref · 10.1007/s10462-021-09980-4

Cites

2 of 2 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
Sood, S. K., Kumar, N., & Saini, M.
Affiliations
  • Central University of Himachal Pradesh (IN)
  • Guru Nanak Dev University (IN)
Corresponding author
  • Sood, Sandeep Kumar
  • Kumar, Navin
  • Saini, Munish
Venue
Artificial Intelligence Review
Published
2021-03-08
Volume
54
Issue
8
Pages
6309-6341
ISSN
  • 0269-2821 (ISSN-L)
  • 1573-7462
OpenAlex
W3133565860
Cited by
93
References
2
Citations by year
2026: 16 · 2025: 13 · 2024: 22 · 2023: 20 · 2022: 19 · 2021: 3
FWCI
4.71
Type
journal article
Language
en
Open access
closed
Locations
Artificial Intelligence Review (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
Keywords
vehicular networks, VANET, vehicle-to-everything communication, IEEE 802.11p, citation patterns, publication growth, keyword co-occurrence, research collaboration patterns

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