Example of International Journal for Numerical Methods in Fluids format
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Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format
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Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format Example of International Journal for Numerical Methods in Fluids format
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open access Open Access

International Journal for Numerical Methods in Fluids — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Applied Mathematics #87 of 548 down down by 29 ranks
Computational Mechanics #17 of 79 down down by 7 ranks
Mechanical Engineering #157 of 596 down down by 46 ranks
Computer Science Applications #216 of 693 down down by 58 ranks
Mechanics of Materials #119 of 377 down down by 37 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 381 Published Papers | 1553 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 12/06/2020
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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.

1.808

11% from 2018

Impact factor for International Journal for Numerical Methods in Fluids from 2016 - 2019
Year Value
2019 1.808
2018 1.631
2017 1.673
2016 1.652
graph view Graph view
table view Table view

4.1

3% from 2019

CiteRatio for International Journal for Numerical Methods in Fluids from 2016 - 2020
Year Value
2020 4.1
2019 4.0
2018 3.7
2017 3.7
2016 4.3
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 11% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 3% 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.

0.938

20% from 2019

SJR for International Journal for Numerical Methods in Fluids from 2016 - 2020
Year Value
2020 0.938
2019 0.78
2018 0.886
2017 1.183
2016 1.371
graph view Graph view
table view Table view

1.105

7% from 2019

SNIP for International Journal for Numerical Methods in Fluids from 2016 - 2020
Year Value
2020 1.105
2019 1.191
2018 1.281
2017 1.435
2016 1.482
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 20% 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 for Numerical Methods in Fluids

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Wiley

International Journal for Numerical Methods in Fluids

The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable and relevant to cutting edge scientific and engineering problems in fluid mechanics, fluid dynamics, micro and b...... Read More

Engineering

i
Last updated on
12 Jun 2020
i
ISSN
0271-2091
i
Impact Factor
High - 1.367
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
apa
i
Citation Type
Numbered
[25]
i
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/FLD.1650200824
Reproducing kernel particle methods
Wing Kam Liu1, Sukky Jun1, Yi Fei Zhang1

Abstract:

A new continuous reproducing kernel interpolation function which explores the attractive features of the flexible time-frequency and space-wave number localization of a window function is developed. This method is motivated by the theory of wavelets and also has the desirable attributes of the recently proposed smooth particl... A new continuous reproducing kernel interpolation function which explores the attractive features of the flexible time-frequency and space-wave number localization of a window function is developed. This method is motivated by the theory of wavelets and also has the desirable attributes of the recently proposed smooth particle hydrodynamics (SPH) methods, moving least squares methods (MLSM), diffuse element methods (DEM) and element-free Galerkin methods (EFGM). The proposed method maintains the advantages of the free Lagrange or SPH methods; however, because of the addition of a correction function, it gives much more accurate results. Therefore it is called the reproducing kernel particle method (RKPM). In computer implementation RKPM is shown to be more efficient than DEM and EFGM. Moreover, if the window function is C∞, the solution and its derivatives are also C∞ in the entire domain. Theoretical analysis and numerical experiments on the 1D diffusion equation reveal the stability conditions and the effect of the dilation parameter on the unusually high convergence rates of the proposed method. Two-dimensional examples of advection-diffusion equations and compressible Euler equations are also presented together with 2D multiple-scale decompositions. read more read less

Topics:

Kernel (statistics) (58%)58% related to the paper, Diffuse element method (57%)57% related to the paper, Meshfree methods (56%)56% related to the paper, Moving least squares (54%)54% related to the paper, Window function (53%)53% related to the paper
2,682 Citations
Journal Article DOI: 10.1002/FLD.1650030305
Natural convection of air in a square cavity: A bench mark numerical solution
G. de Vahl Davis1

Abstract:

Details are given of the computational method used to obtain an accurate solution of the equations describing two-dimensional natural convection in a square cavity with differentially heated side walls. Second-order, central difference approximations were used. Mesh refnement and extrapolation led to solutions for 103⩽Ra⩽10 6... Details are given of the computational method used to obtain an accurate solution of the equations describing two-dimensional natural convection in a square cavity with differentially heated side walls. Second-order, central difference approximations were used. Mesh refnement and extrapolation led to solutions for 103⩽Ra⩽10 6 which are believed to be accurate to better than 1 per cent at the highest Rayleigh number and down to one-tenth of that at the lowest value. read more read less

Topics:

Rayleigh number (63%)63% related to the paper, Natural convection (61%)61% related to the paper, Extrapolation (54%)54% related to the paper, Finite difference (53%)53% related to the paper, Numerical analysis (50%)50% related to the paper
2,529 Citations
Journal Article DOI: 10.1002/FLD.2726
A wave generation toolbox for the open‐source CFD library: OpenFoam®

Abstract:

SUMMARY The open-source CFD library OpenFoam® contains a method for solving free surface Newtonian flows using the Reynolds averaged Navier–Stokes equations coupled with a volume of fluid method. In this paper, it is demonstrated how this has been extended with a generic wave generation and absorption method termed ‘wave rel... SUMMARY The open-source CFD library OpenFoam® contains a method for solving free surface Newtonian flows using the Reynolds averaged Navier–Stokes equations coupled with a volume of fluid method. In this paper, it is demonstrated how this has been extended with a generic wave generation and absorption method termed ‘wave relaxation zones’, on which a detailed account is given. The ability to use OpenFoam for the modelling of waves is demonstrated using two benchmark test cases, which show the ability to model wave propagation and wave breaking. Furthermore, the reflection coefficient from outlet relaxation zones is considered for a range of parameters. The toolbox is implemented in C++, and the flexibility in deriving new relaxation methods and implementing new wave theories along with other shapes of the relaxation zone is outlined. Subsequent to the publication of this paper, the toolbox has been made freely available through the OpenFoam-Extend Community. Copyright © 2011 John Wiley & Sons, Ltd. read more read less

Topics:

Breaking wave (55%)55% related to the paper, Wave propagation (55%)55% related to the paper, Reflection coefficient (51%)51% related to the paper, Computational fluid dynamics (51%)51% related to the paper, Finite volume method (50%)50% related to the paper
852 Citations
open accessOpen access Journal Article DOI: 10.1002/FLD.3767
High-order CFD methods: Current status and perspective

Abstract:

After several years of planning, the 1st International Workshop on High-Order CFD Methods was successfully held in Nashville, Tennessee, on January 7-8, 2012, just before the 50th Aerospace Sciences Meeting. The American Institute of Aeronautics and Astronautics, the Air Force Office of Scientific Research, and the German Aer... After several years of planning, the 1st International Workshop on High-Order CFD Methods was successfully held in Nashville, Tennessee, on January 7-8, 2012, just before the 50th Aerospace Sciences Meeting. The American Institute of Aeronautics and Astronautics, the Air Force Office of Scientific Research, and the German Aerospace Center provided much needed support, financial and moral. Over 70 participants from all over the world across the research spectrum of academia, government labs, and private industry attended the workshop. Many exciting results were presented. In this review article, the main motivation and major findings from the workshop are described. Pacing items requiring further effort are presented. © 2013 John Wiley & Sons, Ltd. read more read less
View PDF
838 Citations
Journal Article DOI: 10.1002/FLD.1650080602
Curvature‐compensated convective transport: SMART, A new boundedness‐ preserving transport algorithm
Philip H. Gaskell1, A. K. C. Lau1

Abstract:

The paper describes a new approach to approximating the convection term found in typical steady-state transport equations. A polynomial-based discretization scheme is constructed around a technique called ‘curvature compensation’; the resultant curvature-compensated convective transport approximation is essentially third-orde... The paper describes a new approach to approximating the convection term found in typical steady-state transport equations. A polynomial-based discretization scheme is constructed around a technique called ‘curvature compensation’; the resultant curvature-compensated convective transport approximation is essentially third-order accurate in regions of the solution domain where the concept of order is meaningful. In addition, in linear scalar transport problems it preserves the boundedness of solutions. Sharp changes in gradient in the dependent variable are handled particularly well. But above all, the scheme, when used in conjunction with an ADI pentadiagonal solver, is easy to implement with relatively low computational cost, representing an effective algorithm for the simulation of multi-dimensional fluid flows. Two linear test problems, for the case of transport by pure convection, are employed in order to assess the merit of the method. read more read less

Topics:

Discretization (54%)54% related to the paper, Curvature (54%)54% related to the paper, Solver (52%)52% related to the paper, Finite difference method (51%)51% related to the paper
824 Citations
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Frequently asked questions

1. Can I write International Journal for Numerical Methods in Fluids in LaTeX?

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3. Can I cite my article in multiple styles in International Journal for Numerical Methods in Fluids?

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 for Numerical Methods in Fluids 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 for Numerical Methods in Fluids that you can download at the end.

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12. Is International Journal for Numerical Methods in Fluids'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 International Journal for Numerical Methods in Fluids?

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 for Numerical Methods in Fluids. 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 for Numerical Methods in Fluids?

The 5 most common citation types in order of usage for International Journal for Numerical Methods in Fluids 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 for Numerical Methods in Fluids 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 for Numerical Methods in Fluids Endnote style according to Elsevier guidelines.

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