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

International Journal for Numerical Methods in Biomedical Engineering — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Applied Mathematics #56 of 548 down down by 19 ranks
Modeling and Simulation #49 of 290 down down by 17 ranks
Computational Theory and Mathematics #25 of 133 down down by 8 ranks
Software #128 of 389 down down by 28 ranks
Biomedical Engineering #83 of 229 down down by 27 ranks
Molecular Biology #202 of 382 down down by 12 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 427 Published Papers | 2108 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.

2.097

1% from 2018

Impact factor for International Journal for Numerical Methods in Biomedical Engineering from 2016 - 2019
Year Value
2019 2.097
2018 2.082
2017 2.338
2016 2.192
graph view Graph view
table view Table view

4.9

23% from 2019

CiteRatio for International Journal for Numerical Methods in Biomedical Engineering from 2016 - 2020
Year Value
2020 4.9
2019 4.0
2018 3.2
2017 4.5
2016 5.2
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 1% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 23% 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.

0.741

8% from 2019

SJR for International Journal for Numerical Methods in Biomedical Engineering from 2016 - 2020
Year Value
2020 0.741
2019 0.686
2018 0.653
2017 1.021
2016 1.144
graph view Graph view
table view Table view

1.215

6% from 2019

SNIP for International Journal for Numerical Methods in Biomedical Engineering from 2016 - 2020
Year Value
2020 1.215
2019 1.145
2018 1.085
2017 1.259
2016 1.109
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 8% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 6% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
International Journal for Numerical Methods in Biomedical Engineering

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Wiley

International Journal for Numerical Methods in Biomedical Engineering

Please note that the journal’s title from January 2010 onwards will be The International Journal for Numerical Methods in Biomedical Engineering. The new Aims and Scope is effective immediately. International Journal for Numerical Methods in Biomedical Engineering is an intern...... Read More

Mathematics

i
Last updated on
12 Jun 2020
i
ISSN
2040-7939
i
Impact Factor
High - 1.007
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

open accessOpen access Journal Article
The patch test - a condition for assessing FEM convergence

Abstract:

This paper discusses various forms of the Irons patch test and shows again that its satisfaction is a necessary convergence condition being equivalent to consistency. Further, it is shown that the test can be applied for verification of stability requirements, thus providing also a sufficient condition of convergence. The pat... This paper discusses various forms of the Irons patch test and shows again that its satisfaction is a necessary convergence condition being equivalent to consistency. Further, it is shown that the test can be applied for verification of stability requirements, thus providing also a sufficient condition of convergence. The patch test is useful in testing the order of asymptotic convergence and the satisfaction of the test gives a guide for development of certain incompatible element forms. read more read less
288 Citations
open accessOpen access Journal Article DOI: 10.1002/CNM.2598
A systematic comparison between 1-D and 3-D hemodynamics in compliant arterial models.
Nan Xiao1, Nan Xiao2, Jordi Alastruey2, C. Alberto Figueroa2

Abstract:

We present a systematic comparison of computational hemodynamics in arteries between a one-dimensional (1-D) and a three-dimensional (3-D) formulation with deformable vessel walls The simulations were performed using a series of idealized compliant arterial models representing the common carotid artery, thoracic aorta, aortic... We present a systematic comparison of computational hemodynamics in arteries between a one-dimensional (1-D) and a three-dimensional (3-D) formulation with deformable vessel walls The simulations were performed using a series of idealized compliant arterial models representing the common carotid artery, thoracic aorta, aortic bifurcation, and full aorta from the arch to the iliac bifurcation The formulations share identical inflow and outflow boundary conditions and have compatible material laws We also present an iterative algorithm to select the parameters for the outflow boundary conditions by using the 1-D theory to achieve a desired systolic and diastolic pressure at a particular vessel This 1-D/3-D framework can be used to efficiently determine material and boundary condition parameters for 3-D subject-specific arterial models with deformable vessel walls Finally, we explore the impact of different anatomical features and hemodynamic conditions on the numerical predictions The results show good agreement between the two formulations, especially during the diastolic phase of the cycle read more read less

Topics:

Aortic bifurcation (52%)52% related to the paper
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231 Citations
open accessOpen access Journal Article DOI: 10.1002/CNM.2655
Persistent homology analysis of protein structure, flexibility, and folding
Kelin Xia1, Guo-Wei Wei

Abstract:

SUMMARY Proteins are the most important biomolecules for living organisms. The understanding of protein structure, function, dynamics, and transport is one of the most challenging tasks in biological science. In the present work, persistent homology is, for the first time, introduced for extracting molecular topological finge... SUMMARY Proteins are the most important biomolecules for living organisms. The understanding of protein structure, function, dynamics, and transport is one of the most challenging tasks in biological science. In the present work, persistent homology is, for the first time, introduced for extracting molecular topological fingerprints (MTFs) based on the persistence of molecular topological invariants. MTFs are utilized for protein characterization, identification, and classification. The method of slicing is proposed to track the geometric origin of protein topological invariants. Both all-atom and coarse-grained representations of MTFs are constructed. A new cutoff-like filtration is proposed to shed light on the optimal cutoff distance in elastic network models. On the basis of the correlation between protein compactness, rigidity, and connectivity, we propose an accumulated bar length generated from persistent topological invariants for the quantitative modeling of protein flexibility. To this end, a correlation matrix-based filtration is developed. This approach gives rise to an accurate prediction of the optimal characteristic distance used in protein B-factor analysis. Finally, MTFs are employed to characterize protein topological evolution during protein folding and quantitatively predict the protein folding stability. An excellent consistence between our persistent homology prediction and molecular dynamics simulation is found. This work reveals the topology‐function relationship of proteins. Copyright © 2014 John Wiley & Sons, Ltd. read more read less

Topics:

Persistent homology (60%)60% related to the paper, Protein folding (50%)50% related to the paper
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230 Citations
Journal Article DOI: 10.1002/CNM.1467
Numerical simulation of a thermodynamically consistent four-species tumor growth model
Andrea Hawkins-Daarud1, Kristoffer G. van der Zee1, J. Tinsley Oden1

Abstract:

In this paper, we develop a thermodynamically consistent four-species model of tumor growth on the basis of the continuum theory of mixtures. Unique to this model is the incorporation of nutrient within the mixture as opposed to being modeled with an auxiliary reaction-diffusion equation. The formulation involves systems of h... In this paper, we develop a thermodynamically consistent four-species model of tumor growth on the basis of the continuum theory of mixtures. Unique to this model is the incorporation of nutrient within the mixture as opposed to being modeled with an auxiliary reaction-diffusion equation. The formulation involves systems of highly nonlinear partial differential equations of surface effects through diffuse-interface models. A mixed finite element spatial discretization is developed and implemented to provide numerical results demonstrating the range of solutions this model can produce. A time-stepping algorithm is then presented for this system, which is shown to be first order accurate and energy gradient stable. The results of an array of numerical experiments are presented, which demonstrate a wide range of solutions produced by various choices of model parameters. read more read less

Topics:

Discretization (56%)56% related to the paper, Partial differential equation (55%)55% related to the paper, Finite element method (54%)54% related to the paper, Mixture theory (54%)54% related to the paper, Nonlinear system (53%)53% related to the paper
211 Citations
Journal Article DOI: 10.1002/CNM.2833
A review of personalized blood glucose prediction strategies for T1DM patients

Abstract:

This paper presents a methodological review of models for predicting blood glucose (BG) concentration, risks and BG events. The surveyed models are classified into three categories, and they are presented in summary tables containing the most relevant data regarding the experimental setup for fitting and testing each model as... This paper presents a methodological review of models for predicting blood glucose (BG) concentration, risks and BG events. The surveyed models are classified into three categories, and they are presented in summary tables containing the most relevant data regarding the experimental setup for fitting and testing each model as well as the input signals and the performance metrics. Each category exhibits trends that are presented and discussed. This document aims to be a compact guide to determine the modeling options that are currently being exploited for personalized BG prediction. read more read less
210 Citations
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International Journal for Numerical Methods in Biomedical Engineering format uses apa citation style.

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Frequently asked questions

1. Can I write International Journal for Numerical Methods in Biomedical Engineering 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 for Numerical Methods in Biomedical Engineering guidelines and auto format it.

2. Do you follow the International Journal for Numerical Methods in Biomedical Engineering guidelines?

Yes, the template is compliant with the International Journal for Numerical Methods in Biomedical Engineering 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 for Numerical Methods in Biomedical Engineering?

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 Biomedical Engineering citation style.

4. Can I use the International Journal for Numerical Methods in Biomedical Engineering 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 International Journal for Numerical Methods in Biomedical Engineering.

5. Can I use a manuscript in International Journal for Numerical Methods in Biomedical Engineering 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 International Journal for Numerical Methods in Biomedical Engineering that you can download at the end.

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12. Is International Journal for Numerical Methods in Biomedical Engineering'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 Biomedical Engineering?

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 Biomedical Engineering. 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 Biomedical Engineering?

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

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