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Theory and Modern Applications

Advances in Continuous and Discrete Models Cover Image

About

Aims and scope

Computational and applied mathematics along with data science play a vital role in contemporary society by driving innovation. This success can be attributed to revolutionary theoretical and algorithmic developments in machine learning, data driven modeling, differential equations, numerical analysis, scientific computing, control, optimization, and computing resources together with new tools to deal with uncertainty and randomness.

This journal encourages new research in these broad areas. In addition to research on algorithmic and analytical developments, the journal also encourages papers related to (but not limited to) broad applications in Signal and Image Processing, Computer Vision, Materials Science, Mathematical Biology and Bioengineering. As a result, the journal will be an excellent connecting bridge between mathematical research and real world applications. 

The journal accepts high-quality articles containing original research results and survey articles of exceptional merit.  Below are short descriptions of the scope of the Areas within the journal: 

Data Science: 

Computer Science, Mathematics, and Statistics are the infrastructure and baseline of the development of data science, with crucial topics including optimization, operational research, scientific computing, and so on. In data science section of this journal, we are interested in submissions that can advance cutting-edge research in computational, mathematical, and statistical methods and models in data science, and solve important theoretical, numerical, and practical questions remain unsolved or even completely open, in data science.

 

Numerical Analysis and Scientific Computing: 

Numerical methods for ODEs/PDEs, Inverse problems, Optimisation and Control, Model reductions, Uncertainty quantification, computational science and engineering, computational mechanics
 

Partial Differential Equations and Mathematical Physics: 

The Partial Differential Equations and Mathematical Physics section accepts papers on all aspects of ordinary, partial differential equations and mathematical physics. The section also covers all applications concerning partial differential equations.

 

Control

The Control section welcomes contributions on the Control theory considered in a broad sense, comprising areas of Controllability, Optimal control, Control engineering, Inverse problems, etc. The papers must provide novel theoretical and/or application approaches to non-isolated research topics whose relevance has to be justified with clear links to established methods and theories.

 

Stochastic Modeling, Analysis and Uncertainty Quantification: 

This section accepts research papers on financial markets and population system related stochastic models, analysis of models, including stability and optimal control. 

 

Mathematical Biology and Bioengineering: 

We welcome innovative simple mathematical modeling efforts inspired by biological phenomena, including but not limited to ecology and epidemiology. We also welcome the analysis of mathematical properties of existing models with biological implications through new technologies.

 

Computer Vision: 

The Computer Vision section accepts papers on optimization techniques related to machine learning, computer vision and intelligent control systems. Relevant topics include image processing, target tracking, intelligent systems for the aged care and remote sensing.

Benefits of publishing with SpringerOpen

High visibility

Advances in Continuous and Discrete Models's open access policy allows maximum visibility of articles published in the journal as they are available to a wide, global audience. 

Speed of publication

Advances in Continuous and Discrete Models offers a fast publication schedule whilst maintaining rigorous peer review; all articles must be submitted online, and peer review is managed fully electronically (articles are distributed in PDF form, which is automatically generated from the submitted files). Articles will be published with their final citation after acceptance, in both fully browsable web form, and as a formatted PDF; the article will then be available through Advances in Continuous and Discrete Models and SpringerOpen.

Flexibility

Online publication in Advances in Continuous and Discrete Models gives you the opportunity to publish large datasets, large numbers of color illustrations and moving pictures, to display data in a form that can be read directly by other software packages so as to allow readers to manipulate the data for themselves, and to create all relevant links (for example, to PubMed, to sequence and other databases, and to other articles).

Promotion and press coverage

Articles published in Advances in Continuous and Discrete Models are included in article alerts and regular email updates. 
In addition, articles published in Advances in Continuous and Discrete Models may be promoted by press releases to the general or scientific press. These activities increase the exposure and number of accesses for articles published in Advances in Continuous and Discrete Models

Copyright

Authors of articles published in Advances in Continuous and Discrete Models retain the copyright of their articles and are free to reproduce and disseminate their work. For further information, see our guide to licensing, copyright and author rights.

For further information about the advantages of publishing in a journal from SpringerOpen, please click here.

Open access

All articles published by the Advances in Continuous and Discrete Models are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers. Further information about open access can be found here

As authors of articles published in the Advances in Continuous and Discrete Models you are the copyright holders of your article and have granted to any third party, in advance and in perpetuity, the right to use, reproduce or disseminate your article, according to the license terms

For those of you who are US government employees or are prevented from being copyright holders for similar reasons, SpringerOpen can accommodate non-standard copyright lines. Please contact us if further information is needed.

Article processing charges (APC)

Authors who publish open access in Advances in Continuous and Discrete Models are required to pay an article processing charge (APC). The APC price will be determined from the date on which the article is accepted for publication.

The current APC, subject to VAT or local taxes where applicable, is: £1190.00/$1790.00/€1490.00

Visit our open access support portal and our Journal Pricing FAQs for further information.

Open access funding

Visit Springer Nature’s open access funding & support services for information about research funders and institutions that provide funding for APCs.

Springer Nature offers agreements that enable institutions to cover open access publishing costs. Learn more about our open access agreements to check your eligibility and discover whether this journal is included.

Springer Nature offers APC waivers and discounts for articles published in our fully open access journals whose corresponding authors are based in the world’s lowest income countries (see our APC waivers and discounts policy for further information). Requests for APC waivers and discounts from other authors will be considered on a case-by-case basis, and may be granted in cases of financial need (see our open access policies for journals for more information). All applications for discretionary APC waivers and discounts should be made at the point of manuscript submission; requests made during the review process or after acceptance are unable to be considered.

Indexing services

All articles published in Advances in Continuous and Discrete Models are included in:

  • Current contents
  • DOAJ
  • Journal Citation Reports/Science Edition
  • Mathematical Reviews
  • OCLC
  • Science Citation Index Expanded
  • SCImago
  • Scopus
  • Summon by Serial Solutions

The full text of all articles is deposited in digital archives around the world to guarantee long-term digital preservation. You can also access all articles published by SpringerOpen on SpringerLink.

Editorial policies

All manuscripts submitted to Advances in Continuous and Discrete Models should adhere to SpringerOpen's editorial policies.

Once your article is accepted, it will be processed by production and published shortly afterwards. In some cases, articles may be held for a short period of time prior to publication. If you have any concerns or particular requirements please contact the Journal.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Citing articles in Advances in Continuous and Discrete Models

Articles in Advances in Continuous and Discrete Models should be cited in the same way as articles in a traditional journal. Because articles are not printed, they do not have page numbers; instead, they are given a unique article number.

Article citations follow this format:

Authors: Title. Adv Cont Disc Mod [year], [volume number]:[article number].

e.g. Roberts LD, Hassall DG, Winegar DA, Haselden JN, Nicholls AW, Griffin JL: Increased hepatic oxidative metabolism distinguishes the action of Peroxisome Proliferator-Activated Receptor delta from Peroxisome Proliferator-Activated Receptor gamma in the Ob/Ob mouse. Adv Cont Disc Mod 2023, 1:115.

refers to article 115 from Volume 1 of the journal.

Appeals and complaints

Authors who wish to appeal a rejection or make a complaint should follow the procedure outlined in the BMC Editorial Policies.

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 3.1
    5-year Journal Impact Factor: 2.3
    Source Normalized Impact per Paper (SNIP): 1.007
    SCImago Journal Rank (SJR): 0.504

    Speed 2023
    Submission to first editorial decision (median days): 18
    Submission to acceptance (median days): 206

    Usage 2023
    Downloads: 880,067
    Altmetric mentions: 10