Example of Differential Equations and Dynamical Systems format
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Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format Example of Differential Equations and Dynamical Systems format
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Differential Equations and Dynamical Systems — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Analysis #67 of 164 down down by 14 ranks
Applied Mathematics #283 of 548 down down by 51 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 147 Published Papers | 272 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 08/07/2020
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Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

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.

1.9

19% from 2019

CiteRatio for Differential Equations and Dynamical Systems from 2016 - 2020
Year Value
2020 1.9
2019 1.6
2018 1.5
2017 1.5
2016 1.8
graph view Graph view
table view Table view

0.312

12% from 2019

SJR for Differential Equations and Dynamical Systems from 2016 - 2020
Year Value
2020 0.312
2019 0.279
2018 0.338
2017 0.306
2016 0.341
graph view Graph view
table view Table view

0.987

51% from 2019

SNIP for Differential Equations and Dynamical Systems from 2016 - 2020
Year Value
2020 0.987
2019 0.652
2018 0.684
2017 0.687
2016 0.583
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 19% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 12% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 51% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Differential Equations and Dynamical Systems

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Springer

Differential Equations and Dynamical Systems

Approved by publishing and review experts on SciSpace, this template is built as per for Differential Equations and Dynamical Systems formatting guidelines as mentioned in Springer author instructions. The current version was created on and has been used by 442 authors to write and format their manuscripts to this journal.

i
Last updated on
07 Jul 2020
i
ISSN
0971-3514
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Citation Type
Author Year
(Blonder et al, 1982)
i
Bibliography Example
Beenakker CWJ (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: 10.1007/S12591-008-0015-1
Mathematical analysis of the role of repeated exposure on malaria transmission dynamics
Ashrafi M. Niger1, Abba B. Gumel1

Abstract:

This paper presents a deterministic model for assessing the role of repeated exposure on the transmission dynamics of malaria in a human population. Rigorous qualitative analysis of the model, which incorporates three immunity stages, reveals the presence of the phenomenon of backward bifurcation, where a stable disease-free ... This paper presents a deterministic model for assessing the role of repeated exposure on the transmission dynamics of malaria in a human population. Rigorous qualitative analysis of the model, which incorporates three immunity stages, reveals the presence of the phenomenon of backward bifurcation, where a stable disease-free equilibrium co-exists with a stable endemic equilibrium when the associated reproduction threshold is less than unity. This phenomenon persists regardless of whether the standard or mass action incidence is used to model the transmission dynamics. It is further shown that the region for backward bifurcation increases with decreasing average life span of mosquitoes. Numerical simulations suggest that this region increases with increasing rate of re-infection of first-time infected individuals. In the absence of repeated exposure (re-infection) and loss of infection-acquired immunity, it is shown, using a non-linear Lyapunov function, that the resulting model with mass action incidence has a globally-asymptotically stable endemic equilibrium when the reproduction threshold exceeds unity. read more read less

Topics:

Population (52%)52% related to the paper
101 Citations
Journal Article DOI: 10.1007/S12591-010-0076-9
Global Stability of Complex-Valued Neural Networks on Time Scales
Martin Bohner1, V. Sree Hari Rao1, Suman Sanyal2

Abstract:

In this paper, activation dynamics of complex-valued neural networks are studied on general time scales. Besides presenting conditions guaranteeing the existence of a unique equilibrium pattern, its global exponential stability is discussed. Some numerical examples for different time scales are given in order to highlight the... In this paper, activation dynamics of complex-valued neural networks are studied on general time scales. Besides presenting conditions guaranteeing the existence of a unique equilibrium pattern, its global exponential stability is discussed. Some numerical examples for different time scales are given in order to highlight the results. read more read less

Topics:

Exponential stability (54%)54% related to the paper, Artificial neural network (50%)50% related to the paper
View PDF
89 Citations
Journal Article DOI: 10.1007/S12591-017-0385-3
A Numerical Method for Solving Boundary and Interior Layers Dominated Parabolic Problems with Discontinuous Convection Coefficient and Source Terms
M. Chandru1, M. Chandru2, T. Prabha1, Pratibhamoy Das3, V. Shanthi1

Abstract:

In this article, a parameter uniform numerical method is developed for a two-parameter singularly perturbed parabolic partial differential equation with discontinuous convection coefficient and source term. The presence of perturbation parameter and the discontinuity in the convection coefficient and source term lead to the b... In this article, a parameter uniform numerical method is developed for a two-parameter singularly perturbed parabolic partial differential equation with discontinuous convection coefficient and source term. The presence of perturbation parameter and the discontinuity in the convection coefficient and source term lead to the boundary and interior layers in the solution. On the spatial domain, an adaptive mesh is introduced before discretizing the continuous problem. The present method observes a uniform convergence in maximum norm which is almost first-order in space and time irrespective of the relation between convection and diffusion parameters. Numerical experiment is carried out to validate the present scheme. read more read less

Topics:

Parabolic partial differential equation (58%)58% related to the paper, Free boundary problem (58%)58% related to the paper, Uniform convergence (54%)54% related to the paper, Numerical analysis (52%)52% related to the paper, Convection (52%)52% related to the paper
62 Citations
Journal Article DOI: 10.1007/S12591-010-0005-Y
Oscillation of third order nonlinear functional dynamic equations on time scales
Lynn Erbe1, Taher S. Hassan2, Allan Peterson1

Abstract:

It is the purpose of this paper to give oscillation criteria for the third order nonlinear functional dynamic equation $$ \left( {a\left( t \right)\left[ {\left( {r\left( t \right)x^\Delta \left( t \right)} \right)^\Delta } \right]^\gamma } \right)^\Delta + f\left( {t,x\left( {g\left( t \right)} \right)} \right) = 0 $$ on a ... It is the purpose of this paper to give oscillation criteria for the third order nonlinear functional dynamic equation $$ \left( {a\left( t \right)\left[ {\left( {r\left( t \right)x^\Delta \left( t \right)} \right)^\Delta } \right]^\gamma } \right)^\Delta + f\left( {t,x\left( {g\left( t \right)} \right)} \right) = 0 $$ on a time scale $$ \mathbb{T} $$ , where γ is the quotient of odd positive integers, a and r are positive rd-continuous functions on $$ \mathbb{T} $$ , and the function g: $$ \mathbb{T} \to \mathbb{T} $$ satisfies limt→∞ g(t) = ∞ and f ∈ C $$ \left( {\mathbb{T} \times \mathbb{R}, \mathbb{R}} \right) $$ . Our results are new for third order delay dynamic equations and extend many known results for oscillation of third order dynamic equations. Some examples are given to illustrate the main results. read more read less
61 Citations
Journal Article DOI: 10.1007/S12591-015-0265-7
Numerical Treatment for the Class of Time Dependent Singularly Perturbed Parabolic Problems with General Shift Arguments
Komal Bansal1, Pratima Rai2, Kapil K. Sharma3

Abstract:

In this paper we design two numerical schemes for solving a class of time dependent singularly perturbed parabolic convection–diffusion problems with general shift arguments in the reaction term. The discretization in both the directions is based on finite difference scheme. Special type of mesh and interpolation is used to t... In this paper we design two numerical schemes for solving a class of time dependent singularly perturbed parabolic convection–diffusion problems with general shift arguments in the reaction term. The discretization in both the directions is based on finite difference scheme. Special type of mesh and interpolation is used to tackle the terms containing shifts. The earlier numerical schemes for the considered problem are restricted to the case of small delay and advance arguments while in practical situations these shift arguments can be of arbitrary size (i.e., may be big or small enough in size). In this paper we propose two numerical schemes which work in both the situations i.e., when shifts are big or small enough in size. An extensive amount of analysis is presented to show the linear convergence in space and time of both the schemes. Some numerical results are given to confirm the predicted theory and to show the effect of shifts on the solution. read more read less

Topics:

Rate of convergence (54%)54% related to the paper, Discretization (52%)52% related to the paper
51 Citations
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Yes, the template is compliant with the Differential Equations and Dynamical Systems 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 Differential Equations and Dynamical Systems?

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 Differential Equations and Dynamical Systems 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 Differential Equations and Dynamical Systems.

5. Can I use a manuscript in Differential Equations and Dynamical Systems 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 Differential Equations and Dynamical Systems that you can download at the end.

6. How long does it usually take you to format my papers in Differential Equations and Dynamical Systems?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Differential Equations and Dynamical Systems.

7. Where can I find the template for the Differential Equations and Dynamical Systems?

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 Differential Equations and Dynamical Systems'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 Differential Equations and Dynamical Systems'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.

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SciSpace's Differential Equations and Dynamical Systems 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 Differential Equations and Dynamical Systems, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Differential Equations and Dynamical Systems'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 Differential Equations and Dynamical Systems?

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 Differential Equations and Dynamical Systems. 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 Differential Equations and Dynamical Systems?

The 5 most common citation types in order of usage for Differential Equations and Dynamical Systems 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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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 Differential Equations and Dynamical Systems Endnote style according to Elsevier guidelines.

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