Example of Journal of Location Based Services format
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Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format
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Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format Example of Journal of Location Based Services format
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open access Open Access

Journal of Location Based Services — Template for authors

Publisher: Taylor and Francis
Categories Rank Trend in last 3 yrs
Electrical and Electronic Engineering #272 of 693 down down by 23 ranks
Computer Networks and Communications #133 of 334 down down by 20 ranks
Signal Processing #50 of 108 -
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 42 Published Papers | 145 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 02/07/2020
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Related Journals

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Quality:  
High
CiteRatio: 7.3
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Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

3.5

46% from 2019

CiteRatio for Journal of Location Based Services from 2016 - 2020
Year Value
2020 3.5
2019 2.4
2018 2.6
2017 2.6
2016 2.0
graph view Graph view
table view Table view

0.365

21% from 2019

SJR for Journal of Location Based Services from 2016 - 2020
Year Value
2020 0.365
2019 0.301
2018 0.25
2017 0.439
2016 0.325
graph view Graph view
table view Table view

0.978

48% from 2019

SNIP for Journal of Location Based Services from 2016 - 2020
Year Value
2020 0.978
2019 0.661
2018 0.843
2017 1.691
2016 0.775
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 46% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 21% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 48% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Journal of Location Based Services

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Taylor and Francis

Journal of Location Based Services

Approved by publishing and review experts on SciSpace, this template is built as per for Journal of Location Based Services formatting guidelines as mentioned in Taylor and Francis author instructions. The current version was created on 02 Jul 2020 and has been used by 579 authors to write and format their manuscripts to this journal.

Engineering

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Last updated on
02 Jul 2020
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ISSN
1748-9725
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Impact Factor
High - 1.014
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Open Access
No
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Sherpa RoMEO Archiving Policy
Green faq
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Endnote Style
Download Available
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Bibliography Name
Taylor and Francis Custom Citation
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Citation Type
Author Year
(Blonder, Tinkham, and Klapwijk 1982)
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Bibliography Example
Blonder, G. E., M. Tinkham, and T. M. Klapwijk. 1982. “Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion.” Phys. Rev. B 25 (7): 4515–4532. 10.1103/PhysRevB.25.4515.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1080/17489725.2018.1508763
Location based services: ongoing evolution and research agenda
Haosheng Huang1, Georg Gartner2, Jukka M. Krisp3, Martin Raubal4, Nico Van de Weghe5

Abstract:

We are now living in a mobile information era, which is fundamentally changing science and society. Location Based Services (LBS), which deliver information depending on the location of the (mobile... We are now living in a mobile information era, which is fundamentally changing science and society. Location Based Services (LBS), which deliver information depending on the location of the (mobile... read more read less
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289 Citations
Journal Article DOI: 10.1080/17489725.2011.562927
An evaluation of indoor location determination technologies
Kevin Curran1, Eoghan Furey1, Tom Lunney1, Jose Santos1, Derek Woods1, Aiden McCaughey1

Abstract:

The development of real-time locating systems (RTLS) has become an important add-on to many existing location aware systems. While GPS has solved most of the outdoor RTLS problems, it fails to repeat this success indoors. A number of technologies have been used to address the indoor tracking problem. The ability to accurately... The development of real-time locating systems (RTLS) has become an important add-on to many existing location aware systems. While GPS has solved most of the outdoor RTLS problems, it fails to repeat this success indoors. A number of technologies have been used to address the indoor tracking problem. The ability to accurately track the location of people indoors has many applications ranging from medical, military and logistical to entertainment. However, current systems cannot provide continuous real-time tracking of a moving target or lose capability when coverage is poor. The deployment of a real-time location determination system however is fraught with problems. To date there has been little research into comparing commercial systems on the market with regard to informing IT departments as to their performance in various aspects which are important to tracking devices and people in relatively confined areas. This article attempts to provide such a useful comparison by providing a review of the practicalities of installing certain location-sensing systems. We also comment on the accuracies achieved and problems encountered using the position-sensing systems. read more read less
225 Citations
Journal Article DOI: 10.1080/17489720701781905
Location determination using WiFi fingerprinting versus WiFi trilateration
Esmond Mok1, Guenther Retscher2

Abstract:

Many applications in the area of location-based services and personal navigation require nowadays the location determination of a user not only in an outdoor environment but also an indoor. Typical applications of location-based services (LBS) mainly in outdoor environments are fleet management, travel aids, location identifi... Many applications in the area of location-based services and personal navigation require nowadays the location determination of a user not only in an outdoor environment but also an indoor. Typical applications of location-based services (LBS) mainly in outdoor environments are fleet management, travel aids, location identification, emergency services and vehicle navigation. LBS applications can be further extended if reliable and reasonably accurate three-dimensional positional information of a mobile device can be determined seamlessly in both indoor and outdoor environments. Current geolocation methods for LBS may be classified as GNSS-based, cellular network-based or their combinations. GNSS-based methods rely very much on the satellite visibility and the receiver-satellite geometry. This can be very problematic in dense high-rise urban environments and when transferring to an indoor environment. Especially, in cities with many high-rise buildings, the urban canyon will greatly affect the reception of the GNSS signals. Moreover, positioning in the indoor/outdoor transition areas would experience signal quality and signal reception problems, if GNSS systems alone are employed. The authors have proposed the integration of GNSS with wireless positioning techniques such as WiFi and UWB. In the case of WiFi positioning, the so-called fingerprinting method based on WiFi signal strength observations is usually employed. In this article, the underlying technology is briefly reviewed, followed by an investigation of two WiFi-positioning systems. Testing of the system is performed in two localisation test beds, one at the Vienna University of Technology and another one at the Hong Kong Polytechnic University. The first test showed that the trajectory of a moving user could be obtained with a standard deviation of about ±3-5 m. The main disadvantage of WiFi fingerprinting, however, is the required time consuming and costly signal strength system calibration in the beginning. Therefore, the authors have investigated if the measured signal strength values can be converted to the corresponding range to the access point. A new approach for this conversion is presented and analysed in typical test scenarios. read more read less
141 Citations
Journal Article DOI: 10.1080/17489720902837936
Personalised routing for wheelchair navigation
Piyawan Kasemsuppakorn1, Hassan A. Karimi1

Abstract:

Wheelchair users are confronted with many outdoor obstacles in everyday travel that can make the task arduous and unsafe, especially in unfamiliar environments. However, if wheelchair users are provided with routes that can safely, accurately and efficiently guide them to their destinations, then the difficulty and danger ass... Wheelchair users are confronted with many outdoor obstacles in everyday travel that can make the task arduous and unsafe, especially in unfamiliar environments. However, if wheelchair users are provided with routes that can safely, accurately and efficiently guide them to their destinations, then the difficulty and danger associated with traveling might be significantly reduced. In this article, we present a routing method suitable for wheelchair users by taking into account sidewalk obstacles such as slope, steps, sidewalk condition and sidewalk traffic as are preferred by users. Our method calculates impedance scores for each sidewalk segment, which are then used to determine an optimal route between any given pair of origin-destination addresses in a sidewalk network. We first discuss sidewalk network parameters and a spatial database suitable for wheelchair navigation. Then we discuss our personalised routing approach. We also describe three methods to weight the impedance level of each sidewalk segment and compare the effectiveness of each method through experimentation using the sidewalk network for the University of Pittsburgh campus area. read more read less
103 Citations
Journal Article DOI: 10.1080/17489725.2010.537449
A graph-based approach to vehicle trajectory analysis
Diansheng Guo1, Shufan Liu1, Hai Jin1

Abstract:

It is difficult to extract meaningful patterns from massive trajectory data. One of the main challenges is to characterise, compare and generalise trajectories to find overall patterns and trends. The major limitation of existing methods is that they do not consider topological relations among trajectories. This research prop... It is difficult to extract meaningful patterns from massive trajectory data. One of the main challenges is to characterise, compare and generalise trajectories to find overall patterns and trends. The major limitation of existing methods is that they do not consider topological relations among trajectories. This research proposes a graph-based approach that converts trajectory data to a graph-based representation and treats them as a complex network. Within the context of vehicle movements, the research develops a sequence of steps to extract representative points to reduce data redundancy, interpolate trajectories to accurately establish topological relationships among trajectories and locations, construct a graph (or matrix) representation of trajectories, apply a spatially constrained graph partitioning method to discover natural regions defined by trajectories and use the discovered regions to search and visualise trajectory clusters. Applications with a real data set shows that our new approach can effectively facilitate the understanding of spatial and spatiotemporal patterns in trajectories and discover novel patterns that existing methods cannot find. read more read less
97 Citations
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Frequently asked questions

1. Can I write Journal of Location Based Services in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Journal of Location Based Services guidelines and auto format it.

2. Do you follow the Journal of Location Based Services guidelines?

Yes, the template is compliant with the Journal of Location Based Services guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Journal of Location Based Services?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Journal of Location Based Services citation style.

4. Can I use the Journal of Location Based Services templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Journal of Location Based Services.

5. Can I use a manuscript in Journal of Location Based Services that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Journal of Location Based Services that you can download at the end.

6. How long does it usually take you to format my papers in Journal of Location Based Services?

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7. Where can I find the template for the Journal of Location Based Services?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Journal of Location Based Services's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Journal of Location Based Services's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Journal of Location Based Services an online tool or is there a desktop version?

SciSpace's Journal of Location Based Services is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Journal of Location Based Services?

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11. What is the output that I would get after using Journal of Location Based Services?

After writing your paper autoformatting in Journal of Location Based Services, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Journal of Location Based Services's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Journal of Location Based Services?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Journal of Location Based Services. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Journal of Location Based Services?

The 5 most common citation types in order of usage for Journal of Location Based Services are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Journal of Location Based Services?

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16. Can I download Journal of Location Based Services in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Journal of Location Based Services Endnote style according to Elsevier guidelines.

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