Example of Journal of Fluid Mechanics format
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Example of Journal of Fluid Mechanics format Example of Journal of Fluid Mechanics format Example of Journal of Fluid Mechanics format Example of Journal of Fluid Mechanics format Example of Journal of Fluid Mechanics format Example of Journal of Fluid Mechanics format Example of Journal of Fluid Mechanics format Example of Journal of Fluid Mechanics format
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Example of Journal of Fluid Mechanics format Example of Journal of Fluid Mechanics format Example of Journal of Fluid Mechanics format Example of Journal of Fluid Mechanics format Example of Journal of Fluid Mechanics format Example of Journal of Fluid Mechanics format Example of Journal of Fluid Mechanics format Example of Journal of Fluid Mechanics format
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open access Open Access

Journal of Fluid Mechanics — Template for authors

Categories Rank Trend in last 3 yrs
Mechanical Engineering #67 of 596 down down by 7 ranks
Mechanics of Materials #47 of 377 down down by 3 ranks
Condensed Matter Physics #54 of 411 up up by 3 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 3100 Published Papers | 20490 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 16/07/2020
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Related Journals

open access Open Access
recommended Recommended

American Institute of Physics

Quality:  
High
CiteRatio: 6.8
SJR: 1.098
SNIP: 1.626
open access Open Access

Springer

Quality:  
High
CiteRatio: 5.0
SJR: 0.591
SNIP: 1.07
open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 9.4
SJR: 2.027
SNIP: 1.814
open access Open Access

Elsevier

Quality:  
High
CiteRatio: 4.4
SJR: 0.681
SNIP: 0.954

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.

3.354

7% from 2018

Impact factor for Journal of Fluid Mechanics from 2016 - 2019
Year Value
2019 3.354
2018 3.137
2017 2.893
2016 2.821
graph view Graph view
table view Table view

6.6

14% from 2019

CiteRatio for Journal of Fluid Mechanics from 2016 - 2020
Year Value
2020 6.6
2019 5.8
2018 5.1
2017 5.1
2016 4.9
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 7% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 14% 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.

1.72

3% from 2019

SJR for Journal of Fluid Mechanics from 2016 - 2020
Year Value
2020 1.72
2019 1.674
2018 1.671
2017 1.591
2016 1.744
graph view Graph view
table view Table view

1.822

6% from 2019

SNIP for Journal of Fluid Mechanics from 2016 - 2020
Year Value
2020 1.822
2019 1.935
2018 1.76
2017 1.659
2016 1.589
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 3% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 6% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Journal of Fluid Mechanics

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Cambridge University Press

Journal of Fluid Mechanics

Journal of Fluid Mechanics is the leading international journal in the field and is essential reading for all those concerned with developments in fluid mechanics. It publishes authoritative articles covering theoretical, computational and experimental investigations of all as...... Read More

Engineering

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Last updated on
15 Jul 2020
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ISSN
0022-1120
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Impact Factor
High - 1.889
i
Open Access
No
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Sherpa RoMEO Archiving Policy
Green faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
unsrt
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Citation Type
Author Year
[25]
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Bibliography Example
G E Blonder, M Tinkham, and T M Klapwijk. Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys. Rev. B, 25(7):4515–4532, 1982. 10.1103/PhysRevB.25.4515.

Top papers written in this journal

Journal Article DOI: 10.1017/S0022112095000462
On the identification of a vortex
Jinhee Jeong1, Fazle Hussain1

Abstract:

Considerable confusion surrounds the longstanding question of what constitutes a vortex, especially in a turbulent flow. This question, frequently misunderstood as academic, has recently acquired particular significance since coherent structures (CS) in turbulent flows are now commonly regarded as vortices. An objective defin... Considerable confusion surrounds the longstanding question of what constitutes a vortex, especially in a turbulent flow. This question, frequently misunderstood as academic, has recently acquired particular significance since coherent structures (CS) in turbulent flows are now commonly regarded as vortices. An objective definition of a vortex should permit the use of vortex dynamics concepts to educe CS, to explain formation and evolutionary dynamics of CS, to explore the role of CS in turbulence phenomena, and to develop viable turbulence models and control strategies for turbulence phenomena. We propose a definition of a vortex in an incompressible flow in terms of the eigenvalues of the symmetric tensor ${\bm {\cal S}}^2 + {\bm \Omega}^2$ are respectively the symmetric and antisymmetric parts of the velocity gradient tensor ${\bm \Delta}{\bm u}$. This definition captures the pressure minimum in a plane perpendicular to the vortex axis at high Reynolds numbers, and also accurately defines vortex cores at low Reynolds numbers, unlike a pressure-minimum criterion. We compare our definition with prior schemes/definitions using exact and numerical solutions of the Euler and Navier–Stokes equations for a variety of laminar and turbulent flows. In contrast to definitions based on the positive second invariant of ${\bm \Delta}{\bm u}$ or the complex eigenvalues of ${\bm \Delta}{\bm u}$, our definition accurately identifies the vortex core in flows where the vortex geometry is intuitively clear. read more read less

Topics:

Vortex (56%)56% related to the paper, Taylor–Green vortex (54%)54% related to the paper, Vorticity (51%)51% related to the paper, Turbulence (50%)50% related to the paper
View PDF
5,837 Citations
Journal Article DOI: 10.1017/S0022112087000892
Turbulence statistics in fully developed channel flow at low reynolds number
John Kim1, Parviz Moin1, Robert D. Moser1

Abstract:

A direct numerical simulation of a turbulent channel flow is performed. The unsteady Navier-Stokes equations are solved numerically at a Reynolds number of 3300, based on the mean centerline velocity and channel half-width, with about 4 million grid points. All essential turbulence scales are resolved on the computational gri... A direct numerical simulation of a turbulent channel flow is performed. The unsteady Navier-Stokes equations are solved numerically at a Reynolds number of 3300, based on the mean centerline velocity and channel half-width, with about 4 million grid points. All essential turbulence scales are resolved on the computational grid and no subgrid model is used. A large number of turbulence statistics are computed and compared with the existing experimental data at comparable Reynolds numbers. Agreements as well as discrepancies are discussed in detail. Particular attention is given to the behavior of turbulence correlations near the wall. A number of statistical correlations which are complementary to the existing experimental data are reported for the first time. read more read less

Topics:

K-epsilon turbulence model (69%)69% related to the paper, Reynolds stress equation model (67%)67% related to the paper, K-omega turbulence model (67%)67% related to the paper, Turbulence modeling (66%)66% related to the paper, Reynolds decomposition (65%)65% related to the paper
View PDF
4,788 Citations
open accessOpen access Journal Article DOI: 10.1017/S0022112010001217
Dynamic mode decomposition of numerical and experimental data

Abstract:

The description of coherent features of fluid flow is essential to our understanding of fluid-dynamical and transport processes. A method is introduced that is able to extract dynamic information from flow fields that are either generated by a (direct) numerical simulation or visualized/measured in a physical experiment. The ... The description of coherent features of fluid flow is essential to our understanding of fluid-dynamical and transport processes. A method is introduced that is able to extract dynamic information from flow fields that are either generated by a (direct) numerical simulation or visualized/measured in a physical experiment. The extracted dynamic modes, which can be interpreted as a generalization of global stability modes, can be used to describe the underlying physical mechanisms captured in the data sequence or to project large-scale problems onto a dynamical system of significantly fewer degrees of freedom. The concentration on subdomains of the flow field where relevant dynamics is expected allows the dissection of a complex flow into regions of localized instability phenomena and further illustrates the flexibility of the method, as does the description of the dynamics within a spatial framework. Demonstrations of the method are presented consisting of a plane channel flow, flow over a two-dimensional cavity, wake flow behind a flexible membrane and a jet passing between two cylinders. read more read less

Topics:

Open-channel flow (61%)61% related to the paper, Flow (mathematics) (58%)58% related to the paper, Hele-Shaw flow (58%)58% related to the paper, Dynamic mode decomposition (58%)58% related to the paper, Fluid dynamics (55%)55% related to the paper
View PDF
4,150 Citations
Journal Article DOI: 10.1017/S0022112075001814
Progress in the development of a Reynolds-stress turbulence closure
Brian Launder1, G.J. Reece1, Wolfgang Rodi1

Abstract:

The paper develops proposals for a model of turbulence in which the Reynolds stresses are determined from the solution of transport equations for these variables and for the turbulence energy dissipation rate E. Particular attention is given to the approximation of the pressure-strain correlations; the forms adopted appear to... The paper develops proposals for a model of turbulence in which the Reynolds stresses are determined from the solution of transport equations for these variables and for the turbulence energy dissipation rate E. Particular attention is given to the approximation of the pressure-strain correlations; the forms adopted appear to give reasonably satisfactory partitioning of the stresses both near walls and in free shear flows. Numerical solutions of the model equations are presented for a selection of strained homogeneous shear flows and for two-dimensional inhomogeneous shear flows including the jet, the wake, the mixing layer and plane channel flow. In addition, it is shown that the closure does predict a very strong influence of secondary strain terms for flow over curved surfaces. read more read less

Topics:

K-epsilon turbulence model (71%)71% related to the paper, Reynolds stress equation model (69%)69% related to the paper, K-omega turbulence model (68%)68% related to the paper, Turbulence modeling (64%)64% related to the paper, Shear flow (61%)61% related to the paper
View PDF
3,855 Citations
open accessOpen access Journal Article DOI: 10.1017/S002211207400190X
On density effects and large structure in turbulent mixing layers
Garry L. Brown1, Anatol Roshko2

Abstract:

Plane turbulent mixing between two streams of different gases (especially nitrogen and helium) was studied in a novel apparatus Spark shadow pictures showed that, for all ratios of densities in the two streams, the mixing layer is dominated by large coherent structures High-speed movies showed that these convect at nearly con... Plane turbulent mixing between two streams of different gases (especially nitrogen and helium) was studied in a novel apparatus Spark shadow pictures showed that, for all ratios of densities in the two streams, the mixing layer is dominated by large coherent structures High-speed movies showed that these convect at nearly constant speed, and increase their size and spacing discontinuously by amalgamation with neighbouring ones The pictures and measurements of density fluctuations suggest that turbulent mixing and entrainment is a process of entanglement on the scale of the large structures; some statistical properties of the latter are used to obtain an estimate of entrainment rates Large changes of the density ratio across the mixing layer were found to have a relatively small effect on the spreading angle; it is concluded that the strong effects, which are observed when one stream is supersonic, are due to compressibility effects, not density effects, as has been generally supposed read more read less

Topics:

Mixing (physics) (57%)57% related to the paper, Entrainment (hydrodynamics) (54%)54% related to the paper
View PDF
3,339 Citations
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Journal of Fluid Mechanics format uses unsrt citation style.

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Frequently asked questions

1. Can I write Journal of Fluid Mechanics in LaTeX?

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Yes, the template is compliant with the Journal of Fluid Mechanics 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 Fluid Mechanics?

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 Fluid Mechanics citation style.

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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 Fluid Mechanics.

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

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7. Where can I find the template for the Journal of Fluid Mechanics?

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

12. Is Journal of Fluid Mechanics'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 Fluid Mechanics?

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 Fluid Mechanics. 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 Fluid Mechanics?

The 5 most common citation types in order of usage for Journal of Fluid Mechanics 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 Fluid Mechanics?

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16. Can I download Journal of Fluid Mechanics 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 Fluid Mechanics Endnote style according to Elsevier guidelines.

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