Example of Journal of Field Robotics format
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Example of Journal of Field Robotics format Example of Journal of Field Robotics format Example of Journal of Field Robotics format Example of Journal of Field Robotics format Example of Journal of Field Robotics format Example of Journal of Field Robotics format
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Example of Journal of Field Robotics format Example of Journal of Field Robotics format Example of Journal of Field Robotics format Example of Journal of Field Robotics format Example of Journal of Field Robotics format Example of Journal of Field Robotics format
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Journal of Field Robotics — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Computer Science Applications #37 of 693 down down by 9 ranks
Control and Systems Engineering #18 of 260 down down by 5 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 263 Published Papers | 2936 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 02/07/2020
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Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

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

3.581

18% from 2018

Impact factor for Journal of Field Robotics from 2016 - 2019
Year Value
2019 3.581
2018 4.345
2017 3.46
2016 4.882
graph view Graph view
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11.2

27% from 2019

CiteRatio for Journal of Field Robotics from 2016 - 2020
Year Value
2020 11.2
2019 8.8
2018 9.2
2017 8.4
2016 8.2
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 18% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 27% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

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.

1.152

12% from 2019

SJR for Journal of Field Robotics from 2016 - 2020
Year Value
2020 1.152
2019 1.313
2018 1.437
2017 1.45
2016 1.62
graph view Graph view
table view Table view

2.545

7% from 2019

SNIP for Journal of Field Robotics from 2016 - 2020
Year Value
2020 2.545
2019 2.388
2018 2.933
2017 2.74
2016 3.372
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 12% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 7% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Journal of Field Robotics

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Wiley

Journal of Field Robotics

The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. Articles describing robotics research with applications to the environment, construction, forestry, agriculture, mining, su...... Read More

Engineering

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Last updated on
02 Jul 2020
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ISSN
1556-4959
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Impact Factor
Very High - 3.222
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Open Access
Yes
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Sherpa RoMEO Archiving Policy
Yellow faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
apa
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Citation Type
Numbered
[25]
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Bibliography Example
Beenakker, C.W.J. (2006) Specular andreev reflection in graphene.Phys. Rev. Lett., 97 (6), 067 007. URL 10.1103/PhysRevLett.97.067007.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1002/ROB.20147
Stanley: The Robot that Won the DARPA Grand Challenge

Abstract:

This article describes the robot Stanley, which won the 2005 DARPA Grand Challenge. Stanley was developed for high-speed desert driving without human intervention. The robot’s software system relied predominately on state-of-the-art AI technologies, such as machine learning and probabilistic reasoning. This article describes ... This article describes the robot Stanley, which won the 2005 DARPA Grand Challenge. Stanley was developed for high-speed desert driving without human intervention. The robot’s software system relied predominately on state-of-the-art AI technologies, such as machine learning and probabilistic reasoning. This article describes the major components of this architecture, and discusses the results of the Grand Challenge race. read more read less
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2,011 Citations
open accessOpen access Journal Issue DOI: 10.1002/ROB.V25:8
Autonomous driving in urban environments: Boss and the Urban Challenge

Abstract:

Boss is an autonomous vehicle that uses on-board sensors (global positioning system, lasers, radars, and cameras) to track other vehicles, detect static obstacles, and localize itself relative to a road model. A three-layer planning system combines mission, behavioral, and motion planning to drive in urban environments. The m... Boss is an autonomous vehicle that uses on-board sensors (global positioning system, lasers, radars, and cameras) to track other vehicles, detect static obstacles, and localize itself relative to a road model. A three-layer planning system combines mission, behavioral, and motion planning to drive in urban environments. The mission planning layer considers which street to take to achieve a mission goal. The behavioral layer determines when to change lanes and precedence at intersections and performs error recovery maneuvers. The motion planning layer selects actions to avoid obstacles while making progress toward local goals. The system was developed from the ground up to address the requirements of the DARPA Urban Challenge using a spiral system development process with a heavy emphasis on regular, regressive system testing. During the National Qualification Event and the 85-km Urban Challenge Final Event, Boss demonstrated some of its capabilities, qualifying first and winning the challenge. © 2008 Wiley Periodicals, Inc. read more read less

Topics:

Boss (57%)57% related to the paper, Motion planning (51%)51% related to the paper
View PDF
1,201 Citations
open accessOpen access Journal Issue DOI: 10.1002/ROB.V25:9
Junior: The Stanford entry in the Urban Challenge

Abstract:

This article presents the architecture of Junior, a robotic vehicle capable of navigating urban environments autonomously. In doing so, the vehicle is able to select its own routes, perceive and interact with other traffic, and execute various urban driving skills including lane changes, U-turns, parking, and merging into mov... This article presents the architecture of Junior, a robotic vehicle capable of navigating urban environments autonomously. In doing so, the vehicle is able to select its own routes, perceive and interact with other traffic, and execute various urban driving skills including lane changes, U-turns, parking, and merging into moving traffic. The vehicle successfully finished and won second place in the DARPA Urban Challenge, a robot competition organized by the U.S. Government. © 2008 Wiley Periodicals, Inc. read more read less
View PDF
832 Citations
Journal Article DOI: 10.1002/ROB.20103
Visual odometry for ground vehicle applications
David Nister1, Oleg Naroditsky1, James R. Bergen1

Abstract:

We present a system that estimates the motion of a stereo head, or a single moving camera, based on video input. The system operates in real time with low delay, and the motion estimates are used for navigational purposes. The front end of the system is a feature tracker. Point features are matched between pairs of frames and... We present a system that estimates the motion of a stereo head, or a single moving camera, based on video input. The system operates in real time with low delay, and the motion estimates are used for navigational purposes. The front end of the system is a feature tracker. Point features are matched between pairs of frames and linked into image trajectories at video rate. Robust estimates of the camera motion are then produced from the feature tracks using a geometric hypothesize-and-test architecture. This generates motion estimates from visual input alone. No prior knowledge of the scene or the motion is necessary. The visual estimates can also be used in conjunction with information from other sources, such as a global positioning system, inertia sensors, wheel encoders, etc. The pose estimation method has been applied successfully to video from aerial, automotive, and handheld platforms. We focus on results obtained with a stereo head mounted on an autonomous ground vehicle. We give examples of camera trajectories estimated in real time purely from images over previously unseen distances (600 m) and periods of time. © 2006 Wiley Periodicals, Inc. read more read less

Topics:

Motion estimation (64%)64% related to the paper, Motion field (61%)61% related to the paper, Motion compensation (61%)61% related to the paper, Quarter-pixel motion (59%)59% related to the paper, Visual odometry (58%)58% related to the paper
704 Citations
open accessOpen access Journal Article DOI: 10.1002/ROB.20204
Scan registration for autonomous mining vehicles using 3D-NDT
Martin Magnusson1, Achim J. Lilienthal1, Tom Duckett2

Abstract:

Scan registration is an essential sub-task when building maps based on range finder data from mobile robots. The problem is to deduce how the robot has moved between consecutive scans, based on the ... Scan registration is an essential sub-task when building maps based on range finder data from mobile robots. The problem is to deduce how the robot has moved between consecutive scans, based on the ... read more read less

Topics:

Mobile robot (59%)59% related to the paper, Robot (52%)52% related to the paper
View PDF
654 Citations
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Journal of Field Robotics format uses apa citation style.

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Frequently asked questions

1. Can I write Journal of Field Robotics 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 Field Robotics guidelines and auto format it.

2. Do you follow the Journal of Field Robotics guidelines?

Yes, the template is compliant with the Journal of Field Robotics 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 Field Robotics?

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 Field Robotics citation style.

4. Can I use the Journal of Field Robotics 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 Field Robotics.

5. Can I use a manuscript in Journal of Field Robotics 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 Field Robotics that you can download at the end.

6. How long does it usually take you to format my papers in Journal of Field Robotics?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Journal of Field Robotics.

7. Where can I find the template for the Journal of Field Robotics?

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 Field Robotics'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 Field Robotics'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 Field Robotics an online tool or is there a desktop version?

SciSpace's Journal of Field Robotics 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 Field Robotics?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Journal of Field Robotics?”

11. What is the output that I would get after using Journal of Field Robotics?

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

12. Is Journal of Field Robotics'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 Field Robotics?

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 Field Robotics. 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 Field Robotics?

The 5 most common citation types in order of usage for Journal of Field Robotics 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 Field Robotics?

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 Field Robotics's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Journal of Field Robotics 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 Field Robotics Endnote style according to Elsevier guidelines.

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