Example of Engineering Applications of Computational Fluid Mechanics format
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Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format
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Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format Example of Engineering Applications of Computational Fluid Mechanics format
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recommended Recommended

Engineering Applications of Computational Fluid Mechanics — Template for authors

Publisher: Taylor and Francis
Categories Rank Trend in last 3 yrs
Modeling and Simulation #9 of 290 up up by 64 ranks
Computer Science (all) #16 of 226 up up by 37 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 273 Published Papers | 2426 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 22/07/2020
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SJR: 0.704
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Taylor and Francis

Quality:  
High
CiteRatio: 5.9
SJR: 0.972
SNIP: 1.349

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.

5.8

168% from 2018

Impact factor for Engineering Applications of Computational Fluid Mechanics from 2016 - 2019
Year Value
2019 5.8
2018 2.163
2017 1.918
2016 1.167
graph view Graph view
table view Table view

8.9

51% from 2019

CiteRatio for Engineering Applications of Computational Fluid Mechanics from 2016 - 2020
Year Value
2020 8.9
2019 5.9
2018 3.5
2017 2.9
2016 2.3
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 168% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 51% 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.

1.347

14% from 2019

SJR for Engineering Applications of Computational Fluid Mechanics from 2016 - 2020
Year Value
2020 1.347
2019 1.186
2018 0.576
2017 0.762
2016 0.578
graph view Graph view
table view Table view

3.098

15% from 2019

SNIP for Engineering Applications of Computational Fluid Mechanics from 2016 - 2020
Year Value
2020 3.098
2019 2.689
2018 1.72
2017 1.465
2016 1.125
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 14% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 15% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Engineering Applications of Computational Fluid Mechanics

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Taylor and Francis

Engineering Applications of Computational Fluid Mechanics

The aim of the Engineering Applications of Computational Fluid Mechanics is a continuous and timely dissemination of innovative, practical and industrial applications of computational techniques to solve the whole range of hitherto intractable fluid mechanics problems. The jou...... Read More

Computer Science

i
Last updated on
22 Jul 2020
i
ISSN
1994-2060
i
Impact Factor
High - 1.625
i
Open Access
No
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
Taylor and Francis Custom Citation
i
Citation Type
Numbered
[25]
i
Bibliography Example
Blonder GE, Tinkham M, Klapwijk TM. Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys Rev B. 1982; 25(7):4515–4532. Available from: 10.1103/PhysRevB.25.4515.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1080/19942060.2018.1448896
Survey of computational intelligence as basis to big flood management: challenges, research directions and future work

Abstract:

Flooding produces debris and waste including liquids, dead animal bodies and hazardous materials such as hospital waste. Debris causes serious threats to people’s health and can even block the road... Flooding produces debris and waste including liquids, dead animal bodies and hazardous materials such as hospital waste. Debris causes serious threats to people’s health and can even block the road... read more read less

Topics:

Hazardous waste (53%)53% related to the paper
View PDF
285 Citations
open accessOpen access Journal Article DOI: 10.1080/19942060.2018.1482476
Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran
Roozbeh Moazenzadeh1, Babak Mohammadi2, Shahaboddin Shamshirband3, Kwok Wing Chau4

Abstract:

Evaporation accounts for varying shares of water balance under different climatic conditions, and its correct prediction poses a significant challenge before water resources management in watershed... Evaporation accounts for varying shares of water balance under different climatic conditions, and its correct prediction poses a significant challenge before water resources management in watershed... read more read less

Topics:

Water resources (51%)51% related to the paper, Water balance (51%)51% related to the paper
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273 Citations
open accessOpen access Journal Article DOI: 10.1080/19942060.2018.1553742
Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters

Abstract:

In this study, ensemble models using the Bates–Granger approach and least square method are developed to combine forecasts of multi-wavelet artificial neural network (ANN) models. Originally, this study is aimed to investigate the proposed models for forecasting of chlorophyll a concentration. However, the modeling procedure ... In this study, ensemble models using the Bates–Granger approach and least square method are developed to combine forecasts of multi-wavelet artificial neural network (ANN) models. Originally, this study is aimed to investigate the proposed models for forecasting of chlorophyll a concentration. However, the modeling procedure was repeated for water salinity forecasting to evaluate the generality of the approach. The ensemble models are employed for forecasting purposes in Hilo Bay, Hawaii. Moreover, the efficacy of the forecasting models for up to three days in advance is investigated. To predict chlorophyll a and salinity with different lead, the previous daily time series up to three lags are decomposed via different wavelet functions to be applied as input parameters of the models. Further, outputs of the different wavelet-ANN models are combined using the least square boosting ensemble and Bates–Granger techniques to achieve more accurate and more reliable forecasts. To examine the efficiency and reliability of the proposed models for different lead times, uncertainty analysis is conducted for the best single wavelet-ANN and ensemble models as well. The results indicate that accurate forecasts of water temperature and salinity up to three days ahead can be achieved using the ensemble models. Increasing the time horizon, the reliability and accuracy of the models decrease. Ensemble models are found to be superior to the best single models for both forecasting variables and for all the three lead times. The results of this study are promising with respect to multi-step forecasting of water quality parameters such as chlorophyll a and salinity, important indicators of ecosystem status in coastal and ocean regions. read more read less

Topics:

Ensemble forecasting (65%)65% related to the paper, Uncertainty analysis (52%)52% related to the paper
View PDF
191 Citations
open accessOpen access Journal Article DOI: 10.1080/19942060.2018.1452296
Computational intelligence approach for modeling hydrogen production: a review

Abstract:

Hydrogen is a clean energy source with a relatively low pollution footprint. However, hydrogen does not exist in nature as a separate element but only in compound forms. Hydrogen is produced throug... Hydrogen is a clean energy source with a relatively low pollution footprint. However, hydrogen does not exist in nature as a separate element but only in compound forms. Hydrogen is produced throug... read more read less

Topics:

Hydrogen production (57%)57% related to the paper, Hydrogen (52%)52% related to the paper
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175 Citations
open accessOpen access Journal Article DOI: 10.1080/19942060.2020.1715844
Predicting Standardized Streamflow index for hydrological drought using machine learning models

Abstract:

Hydrological droughts are characterized based on their duration, severity, and magnitude. Among the most critical factors, precipitation, evapotranspiration, and runoff  are essential in modeling t... Hydrological droughts are characterized based on their duration, severity, and magnitude. Among the most critical factors, precipitation, evapotranspiration, and runoff  are essential in modeling t... read more read less

Topics:

Evapotranspiration (50%)50% related to the paper
View PDF
175 Citations
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Engineering Applications of Computational Fluid Mechanics format uses Taylor and Francis Custom Citation citation style.

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Frequently asked questions

1. Can I write Engineering Applications of Computational Fluid Mechanics in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Engineering Applications of Computational Fluid Mechanics guidelines and auto format it.

2. Do you follow the Engineering Applications of Computational Fluid Mechanics guidelines?

Yes, the template is compliant with the Engineering Applications of Computational 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 Engineering Applications of Computational 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 Engineering Applications of Computational 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 Engineering Applications of Computational Fluid Mechanics.

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

6. How long does it usually take you to format my papers in Engineering Applications of Computational Fluid Mechanics?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Engineering Applications of Computational Fluid Mechanics.

7. Where can I find the template for the Engineering Applications of Computational Fluid Mechanics?

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 Engineering Applications of Computational Fluid Mechanics'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 Engineering Applications of Computational Fluid Mechanics'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. Engineering Applications of Computational Fluid Mechanics an online tool or is there a desktop version?

SciSpace's Engineering Applications of Computational Fluid Mechanics 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.

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

12. Is Engineering Applications of Computational 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 Engineering Applications of Computational 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 Engineering Applications of Computational 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 Engineering Applications of Computational Fluid Mechanics?

The 5 most common citation types in order of usage for Engineering Applications of Computational 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 Engineering Applications of Computational Fluid Mechanics?

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 Engineering Applications of Computational Fluid Mechanics's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Engineering Applications of Computational 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 Engineering Applications of Computational Fluid Mechanics Endnote style according to Elsevier guidelines.

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