Evidence map›Paper›PMID 26057043›Full record

ReviewSensors (Basel, Switzerland)2015

The Survey on Near Field Communication.

Vedat Coskun, Busra Ozdenizci, Kerem Ok

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
  2. Wireless Non-Invasive Monitoring of Cholesterol Using a Smart Contact Lens.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Vedat CoskunNFC Lab-Istanbul, Department of Information Technologies, ISIK University, Istanbul 34980, Turkey. vedatcoskun@isikun.edu.tr.
Busra OzdenizciNFC Lab-Istanbul, Department of Information Technologies, ISIK University, Istanbul 34980, Turkey. busraozdenizci@isikun.edu.tr.
Kerem OkNFC Lab-Istanbul, Department of Information Technologies, ISIK University, Istanbul 34980, Turkey. keremok@isikun.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Near Field Communication (NFC) is an emerging short-range wireless communication technology that offers great and varied promise in services such as payment, ticketing, gaming, crowd sourcing, voting, navigation, and many others. NFC technology enables the integration of services from a wide range of applications into one single smartphone. NFC technology has emerged recently, and consequently not much academic data are available yet, although the number of academic research studies carried out in the past two years has already surpassed the total number of the prior works combined. This paper presents the concept of NFC technology in a holistic approach from different perspectives, including hardware improvement and optimization, communication essentials and standards, applications, secure elements, privacy and security, usability analysis, and ecosystem and business issues. Further research opportunities in terms of the academic and business points of view are also explored and discussed at the end of each section. This comprehensive survey will be a valuable guide for researchers and academicians, as well as for business in the NFC technology and ecosystem.

Indexed as

Internet of ThingsNear Field CommunicationNFC applicationsNFC ecosystemNFC securityNFC surveyNFC usabilitysecure elementubiquitous computingWireless Body Sensors

Identifiers

PMID26057043
PMCPMC4507650

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.