About this journal
Aims and scope
Mathematical and Computer Modelling of Dynamical Systems (MCMDS) publishes high quality international research that presents new ideas and approaches in the derivation, simplification, and validation of models and sub-models of relevance to complex (real-world) dynamical systems.
The journal brings together mathematicians, engineers, and scientists working in different areas of application and/or theory where researchers can learn about recent developments across engineering, environmental systems, and biotechnology amongst other fields. As MCMDS covers a wide range of application areas, these papers aim to be accessible to readers who are not necessarily experts in the specific area of application.
The Journal has two sections:
A) Engineering and application aspects of modelling
B) Mathematical and theoretical aspects of modelling
MCMDS welcomes original articles on a range of topics including:
- methods of modelling and simulation
- difference equations in dynamical systems modelling
- differential equations (ordinary, partial, impulsive, fractional, delay) in dynamical systems modelling
- special functions dealing with modelling complex problems
- automation of modelling
- qualitative and modular modelling
- data-based and learning-based modelling
- scientific computing and numerical analysis in modelling
- uncertainties and the effects of modelling errors on system performance
- application of modelling to complex real-world systems.
Submissions are highly welcome which present:
- new modelling ideas
- comparison of models and modelling approaches
- theoretical and mathematical aspects of modelling
- papers dealing with complex real-world applications, which present the purpose of the model and the process of model calibration and validation.
Potential authors should note that the focus of MCMDS is on new modelling methods and/or new applications of modelling to complex real-world systems.
The Journal publishes Research Articles and Review Articles.
Proposals for high-quality special issues are welcomed and should be sent to the Editors-in-Chief for assessment.
Please note that Mathematical and Computer Modelling of Dynamical Systems converted to a fully Open Access journal beginning with Volume 27, Issue 1 (2021). The 1995-2020 volumes were made free to access from 1 January 2021.
Journal metrics
Usage
- 118K annual downloads/views
Citation metrics
- 1.8 (2023) Impact Factor
- Q1 Impact Factor Best Quartile
- 1.4 (2023) 5 year IF
- 3.8 (2023) CiteScore (Scopus)
- Q1 CiteScore Best Quartile
- 0.887 (2023) SNIP
- 0.356 (2023) SJR
Speed/acceptance
- 7 days avg. from submission to first decision
- 37 days avg. from submission to first post-review decision
- 21 days avg. from acceptance to online publication
- 6% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors who are deciding where to submit their next manuscript for publication. However, any one metric only tells a part of the story of a journal’s quality and impact. Each metric has its limitations which means that it should never be considered in isolation, and metrics should be used to support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside other qualitative factors such as a journal’s aims & scope, its readership, and a review of past content published in the journal. In addition, a single article should always be assessed on its own merits and never based on the metrics of the journal it was published in.
For more details, please read the Author Services guide to understanding journal metrics.
Journal metrics in brief
Usage and acceptance rate data above are for the last full calendar year and are updated annually in February. Speed data is updated every six months, based on the prior six months. Citation metrics are updated annually mid-year. Please note that some journals do not display all of the following metrics (find out why).
- Usage: the total number of times articles in the journal were viewed by users of Taylor & Francis Online in the previous calendar year, rounded to the nearest thousand.
Citation Metrics
- Impact Factor*: the average number of citations received by articles published in the journal within a two-year window. Only journals in the Clarivate Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), Arts and Humanities Citation Index (AHCI) and the Emerging Sources Citation Index (ESCI) have an Impact Factor.
- Impact Factor Best Quartile*: the journal’s highest subject category ranking in the Journal Citation Reports. Q1 = 25% of journals with the highest Impact Factors.
- 5 Year Impact Factor*: the average number of citations received by articles in the journal within a five-year window.
- CiteScore (Scopus)†: the average number of citations received by articles in the journal over a four-year period.
- CiteScore Best Quartile†: the journal’s highest CiteScore ranking in a Scopus subject category. Q1 = 25% of journals with the highest CiteScores.
- SNIP (Source Normalized Impact per Paper): the number of citations per paper in the journal, divided by citation potential in the field.
- SJR (Scimago Journal Rank): Average number of (weighted) citations in one year, divided by the number of articles published in the journal in the previous three years.
Speed/acceptance
- From submission to first decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision. Based on manuscripts receiving a first decision in the last six months.
- From submission to first post-review decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision if it is sent out for peer review. Based on manuscripts receiving a post-review first decision in the last six months.
- From acceptance to online publication: the average (median) number of days from acceptance of a manuscript to online publication of the Version of Record. Based on articles published in the last six months.
- Acceptance rate: articles accepted for publication by the journal in the previous calendar year as percentage of all papers receiving a final decision.
For more details on the data above, please read the Author Services guide to understanding journal metrics.
*Copyright: Journal Citation Reports®, Clarivate Analytics
†Copyright: CiteScore™, Scopus
Editorial board
Editors-in-Chief:
Wolfgang Kemmetmüller - Technische Universität Wien, Austria
Serkan Araci - Hasan Kalyoncu University, Türkiye
Board of Associate Editors:
Julien Arino - University of Manitoba, Canada; (mathematical epidemiology, mathematical population dynamics)
Harald Aschemann - Universität Rostock, Germany; (robotic systems, mechatronic systems, automotive applications)
Martin Bohner - Missouri University of Science and Technology, USA; (difference equations, dynamical systems, optimization)
Michael Böhm - University of Stuttgart, Germany; (mechatronic systems, distributed parameter systems, machine learning applications, civil engineering applications)
Renato Casagrandi - Politecnico di Milano, Italy; (ecological modelling, spatio temporal dynamics of populations and communities)
Gianni Ferretti - Politecnico di Milano, Italy; (mechatronics, bioprocesses)
Kathrin Flaßkamp - Saarland University, Germany; (optimal control, dynamical systems’ modeling, optimization)
Taekyun Kim - Kwangwoon University, South Korea; (special functions, integral transforms, optimal control, fourier analysis)
Georgy Kostin - Russian Academy of Sciences, Russia; (control theory, mechanics, dynamical systems with distributed parameters)
Tongxing Li - Shandong University, Jinan, Shandong, China; (ODE, PDE, difference equations, dynamic equations)
Mark Joseph Santos Lopez - U.S. Army Combat Capabilities Development Command Aviation & Missile Center, USA; (aerospace vehicles, aircraft and rotorcraft flight dynamics, physics-based modeling, system identification modeling)
John McPhee - University of Waterloo, Canada; (multibody dynamics, biomechatronics, sports engineering)
Jonnalagadda V. R. Prasad - Georgia Institute of Technology, USA; (dynamics and control with applications to rotary wing vehicles and jet engines (physics based reduced order flow modeling, life extending control))
Joachim Rudolph - Saarland University, Germany; (control theory, mechatronics)
Hari Mohan Srivastava - University of Victoria, Canada; (difference and differential equations, fractional differential and integro-differential equations, integral equations and transforms, special functions, real and complex analysis, analytic number theory, numerical analysis)
Fuat Usta - Düzce University, Türkiye; (fractional differential & integral equations, approximation theory, modeling and analysis of special functions)
Chandrika Prakash Vyasarayani - Indian Institute of Technology Hyderabad, India; (nonlinear dynamics, time delay systems, control)
Founding Editor-in-Chief
Inge Troch - Technische Universität Wien, Austria
Abstracting and indexing
Mathematical and Computer Modelling of Dynamical Systems is abstracted and indexed in:
Applied Mechanics Reviews
Baidu Scholar
British Library Inside
Clarivate Analytics: Current Contents® / Engineering, Computing & Technology
Clarivate Analytics: Science Citation Index Expanded™
CNKI
CNPIEC
CnpLINKer
Danish Bibliometric Research Indicator (BFI)
Directory of Open Access Journals (DOAJ)
DTU Findit
E-lib Breman
EBSCO Databases
EconPapers
Ei Compendex®
Electronic Journals Library (EZB)
Finnish Publication Forum (Julkaisufoorumi)
Genamics JournalSeek
Google Scholar
INSPEC®
JournalTOCs
MathSciNet
Microsoft Academic
Naver Academic
New Jour
NHN
Norwegian Register of Scientific Journals and Publishers
Portico
ProQuest Computer and Information Systems Abstracts
ProQuest Technology Collection
Publons
RePEc (IDEAS)
SciBase
Scopus™ - click here for current CiteScore
Technical Info Centre of Denmark, DTU library
Ulrich's Periodicals Directory
Web of Science
WorldCat Local (OCLC)
zbMath
Zetoc
Open access
Mathematical and Computer Modelling of Dynamical Systems is an open access journal and only publishes open access articles. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
- Increase the discoverability and readership of your article
- Make an impact and reach new readers, not just those with easy access to a research library
- Freely share your work with anyone, anywhere
- Comply with funding mandates and meet the requirements of your institution, employer or funder
- Rigorous peer review for every open access article
Article Publishing Charges (APC)
To publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis. Discounts and waivers may also be available for researchers in selected countries when publishing in open access journals.
Use our APC finder to calculate your article publishing charge
News, offers and calls for papers
Continuous publication
Currently known as:
- Mathematical and Computer Modelling of Dynamical Systems: Methods, Tools and Applications in Engineering and Related Sciences (1998 - current)
Formerly known as
- Mathematical Modelling of Systems (1995 - 1997)
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