Example of International Journal of Imaging Systems and Technology format
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Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format
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Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format Example of International Journal of Imaging Systems and Technology format
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International Journal of Imaging Systems and Technology — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Electrical and Electronic Engineering #324 of 693 down down by 54 ranks
Computer Vision and Pattern Recognition #46 of 85 down down by 7 ranks
Electronic, Optical and Magnetic Materials #136 of 246 down down by 26 ranks
Software #226 of 389 down down by 15 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 220 Published Papers | 613 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 15/07/2020
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Related Journals

open access Open Access

Elsevier

Quality:  
High
CiteRatio: 6.3
SJR: 0.544
SNIP: 1.494
open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 9.1
SJR: 0.907
SNIP: 1.713
open access Open Access

IET Publications

Quality:  
Good
CiteRatio: 3.2
SJR: 0.401
SNIP: 1.167

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.

1.925

54% from 2018

Impact factor for International Journal of Imaging Systems and Technology from 2016 - 2019
Year Value
2019 1.925
2018 1.254
2017 1.423
2016 1.139
graph view Graph view
table view Table view

2.8

8% from 2019

CiteRatio for International Journal of Imaging Systems and Technology from 2016 - 2020
Year Value
2020 2.8
2019 2.6
2018 3.2
2017 2.3
2016 2.0
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 54% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 8% 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.

0.359

16% from 2019

SJR for International Journal of Imaging Systems and Technology from 2016 - 2020
Year Value
2020 0.359
2019 0.429
2018 0.416
2017 0.38
2016 0.244
graph view Graph view
table view Table view

0.909

7% from 2019

SNIP for International Journal of Imaging Systems and Technology from 2016 - 2020
Year Value
2020 0.909
2019 0.976
2018 0.736
2017 0.632
2016 0.649
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 16% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

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

International Journal of Imaging Systems and Technology

Guideline source: View

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Wiley

International Journal of Imaging Systems and Technology

Approved by publishing and review experts on SciSpace, this template is built as per for International Journal of Imaging Systems and Technology formatting guidelines as mentioned in Wiley author instructions. The current version was created on 15 Jul 2020 and has been used by 723 authors to write and format their manuscripts to this journal.

Engineering

i
Last updated on
15 Jul 2020
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ISSN
0899-9457
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
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

Journal Article DOI: 10.1002/IMA.22005
MRtrix: Diffusion tractography in crossing fiber regions
J-Donald Tournier1, Fernando Calamante1, Alan Connelly1

Abstract:

In recent years, diffusion-weighted magnetic resonance imaging has attracted considerable attention due to its unique potential to delineate the white matter pathways of the brain. However, methodologies currently available and in common use among neuroscientists and clinicians are typically based on the diffusion tensor mode... In recent years, diffusion-weighted magnetic resonance imaging has attracted considerable attention due to its unique potential to delineate the white matter pathways of the brain. However, methodologies currently available and in common use among neuroscientists and clinicians are typically based on the diffusion tensor model, which has comprehensively been shown to be inadequate to characterize diffusion in brain white matter. This is due to the fact that it is only capable of resolving a single fiber orientation per voxel, causing incorrect fiber orientations, and hence pathways, to be estimated through these voxels. Given that the proportion of affected voxels has been recently estimated at 90%, this is a serious limitation. Furthermore, most implementations use simple “deterministic” streamlines tracking algorithms, which have now been superseded by “probabilistic” approaches. In this study, we present a robust set of tools to perform tractography, using fiber orientations estimated using the validated constrained spherical deconvolution method, coupled with a probabilistic streamlines tracking algorithm. This methodology is shown to provide superior delineations of a number of known white matter tracts, in a manner robust to crossing fiber effects. These tools have been compiled into a software package, called MRtrix, which has been made freely available for use by the scientific community. © 2012 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 22, 53–66, 2012 © 2012 Wiley Periodicals, Inc. read more read less

Topics:

Diffusion Tractography (55%)55% related to the paper, Diffusion MRI (54%)54% related to the paper, Tractography (54%)54% related to the paper
1,277 Citations
Journal Article DOI: 10.1002/IMA.20007
Advances and Challenges in Super-Resolution
Sina Farsiu1, M. Dirk Robinson1, Michael Elad2, Peyman Milanfar1

Abstract:

Super-Resolution reconstruction produces one or a set of high-resolution images from a sequence of low-resolution frames. This article reviews a variety of Super-Resolution methods proposed in the last 20 years, and provides some insight into, and a summary of, our recent contributions to the general Super-Resolution problem.... Super-Resolution reconstruction produces one or a set of high-resolution images from a sequence of low-resolution frames. This article reviews a variety of Super-Resolution methods proposed in the last 20 years, and provides some insight into, and a summary of, our recent contributions to the general Super-Resolution problem. In the process, a detailed study of several very important aspects of Super-Resolution, often ignored in the literature, is presented. Spe- cifically, we discuss robustness, treatment of color, and dynamic operation modes. Novel methods for addressing these issues are accompanied by experimental results on simulated and real data. Finally, some future challenges in Super-Resolution are outlined and discussed. © 2004 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 14, 47-57, 2004; Published online in Wiley InterScience (www.interscience.wiley. com). DOI 10.1002/ima.20007 read more read less
View PDF
807 Citations
Journal Article DOI: 10.1002/IMA.1850020203
NOSER: An algorithm for solving the inverse conductivity problem
Margaret Cheney1, David Isaacson1, Jonathan C. Newell1, Steven J. Simske1, J.C. Goble1

Abstract:

The inverse conductivity problem is the mathematical problem that must be solved in order for electrical impedance tomography systems to be able to make images. Here we show how this inverse conductivity problem is related to a number of other inverse problem. We then explain the workings of an algorithm that we have used to ... The inverse conductivity problem is the mathematical problem that must be solved in order for electrical impedance tomography systems to be able to make images. Here we show how this inverse conductivity problem is related to a number of other inverse problem. We then explain the workings of an algorithm that we have used to make images from electrical impedance data measured on the boundary of a circle in two dimensions. This algorithm is based on the method of least squares. It takes one step of a Newton's method, using a constant conductivity as an initial guess. Most of the calculations can therefore be done analytically. The resulting code is named NOSER, for Newton's One-Step Error Reconstructor. It provides a reconstruction with 496 degrees of freedom. The code does not reproduce the conductivity accurately (unless it differs very little from a constant), but it yields useful images. This is illustrated by images reconstructed from numerical and experimental data, including data from a human chest. read more read less

Topics:

Inverse problem (57%)57% related to the paper, Electrical impedance tomography (53%)53% related to the paper, Constant (mathematics) (51%)51% related to the paper
598 Citations
Journal Article DOI: 10.1002/IMA.1850010111
An iterative solution of the two-dimensional electromagnetic inverse scattering problem
Y. M. Wang1, Weng Cho Chew1

Abstract:

A new method, based on an iterative procedure, for solving the two-dimensional inverse scattering problem is presented. This method employs an equivalent Neumann series solution in each iteration step. The purpose of the algorithm is to provide a general method to solve the two-dimensional imaging problem when the Born and th... A new method, based on an iterative procedure, for solving the two-dimensional inverse scattering problem is presented. This method employs an equivalent Neumann series solution in each iteration step. The purpose of the algorithm is to provide a general method to solve the two-dimensional imaging problem when the Born and the Rytov approximations break down. Numerical simulations were calculated for several cases where the conditions for the first order Born approximation were not satisfied. The results show that in both high and low frequency cases, good reconstructed profiles and smoothed versions of the original profiles can be obtained for smoothly varying permittivity profiles (lossless) and discontinuous profiles (lossless), respectively. A limited number of measurements around the object at a single frequency with four to eight plane incident waves from different directions are used. The method proposed in this article could easily be applied to the three-dimensional inverse scattering problem, if computational resources are available. read more read less

Topics:

Inverse scattering problem (64%)64% related to the paper, Inverse scattering transform (57%)57% related to the paper, Scattering theory (57%)57% related to the paper, Born approximation (55%)55% related to the paper, Neumann series (53%)53% related to the paper
419 Citations
Journal Article DOI: 10.1002/IMA.1007
Quantitative trace element imaging using PIXE and the nuclear microprobe
Chris Ryan1

Abstract:

The X-ray spectra of pure elements, excited using MeV energy beam of protons from the nuclear microprobe, have known spectra signatures. This makes X-ray spectra for more complex mixtures amenable to decomposition into contributions from the component elements. By devising this procedure as a matrix operation that transforms ... The X-ray spectra of pure elements, excited using MeV energy beam of protons from the nuclear microprobe, have known spectra signatures. This makes X-ray spectra for more complex mixtures amenable to decomposition into contributions from the component elements. By devising this procedure as a matrix operation that transforms directly from spectrum vector to elemental concentration vector, the decomposition can be performed very efficiently enabling the real-time projection of the component element signals. In the case of a raster-scanned beam, with data that contain position information for each X-ray event, this approach enables the real-time projection of component element spatial distribution images. This paper describes the matrix transform approach called dynamic analysis (DA), which enables on-line real-time imaging of major and trace elements using proton-induced X-ray emission (PIXE). The method also provides off-line iterative yield corrections to these images to compensate for changing sample composition across an image area. The resulting images are quantitative in two respects: (1) they resolve the pure element components and strongly reject interferences from other elements and (2) they can be directly interrogated for sample composition at each pixel, over areas, or along lines across the image area, with accuracy comparable to microanalytical point analysis methods. The paper describes the DA method, presents tests, and discusses its application to quantitative major and trace element imaging in geology. © 2001 John Wiley & Sons, Inc. Int J Imaging Syst Technol 11, 219–230, 2000 read more read less

Topics:

Microprobe (53%)53% related to the paper
352 Citations
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Frequently asked questions

1. Can I write International Journal of Imaging Systems and Technology in LaTeX?

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

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Yes, the template is compliant with the International Journal of Imaging Systems and Technology 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 International Journal of Imaging Systems and Technology?

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 International Journal of Imaging Systems and Technology citation style.

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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 International Journal of Imaging Systems and Technology that you can download at the end.

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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 International Journal of Imaging Systems and Technology?

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 International Journal of Imaging Systems and Technology. 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 International Journal of Imaging Systems and Technology?

The 5 most common citation types in order of usage for International Journal of Imaging Systems and Technology are:.

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

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16. Can I download International Journal of Imaging Systems and Technology 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 International Journal of Imaging Systems and Technology Endnote style according to Elsevier guidelines.

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