Mathematical and Computer Modelling of Dynamical Systems
Impact Factor & Key Scientometrics

Mathematical and Computer Modelling of Dynamical Systems
Overview

Impact Factor

NA

H Index

38

Impact Factor

1.288

I. Basic Journal Info

Country

United Kingdom
Journal ISSN: 13873954
Publisher: Taylor & Francis
History: 1996-ongoing
Journal Hompage: Link
How to Get Published:
Find out more

Research Categories

Scope/Description:

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 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, papers aim to be accessible to readers who are not necessarily experts in the specific area of application. MCMDS welcomes original articles on a range of topics including: -methods of modelling and simulation- automation of modelling- qualitative and modular modelling- data-based and learning-based modelling- uncertainties and the effects of modelling errors on system performance- application of modelling to complex real-world systems.

II. Science Citation Report (SCR)



Mathematical and Computer Modelling of Dynamical Systems
SCR Impact Factor

Mathematical and Computer Modelling of Dynamical Systems
SCR Journal Ranking

Mathematical and Computer Modelling of Dynamical Systems
SCImago SJR Rank

SCImago Journal Rank (SJR indicator) is a measure of scientific influence of scholarly journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from.

0.194

Mathematical and Computer Modelling of Dynamical Systems
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Mathematical and Computer Modelling of Dynamical Systems
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Mathematical and Computer Modelling of Dynamical Systems
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Mathematical and Computer Modelling of Dynamical Systems
Impact Factor History

2-year 3-year 4-year
  • 2023 Impact Factor
    2.848 2.067 2.059
  • 2022 Impact Factor
    2.154 2.039 1.806
  • 2021 Impact Factor
    1.288 1.325 1.153
  • 2020 Impact Factor
    1.161 1 1.138
  • 2019 Impact Factor
    1.106 1.245 1.104
  • 2018 Impact Factor
    1.09 1.064 1.048
  • 2017 Impact Factor
    0.983 0.944 0.992
  • 2016 Impact Factor
    0.509 0.707 0.792
  • 2015 Impact Factor
    1 1.112 1.568
  • 2014 Impact Factor
    1.029 NA NA
  • 2013 Impact Factor
    1.313 NA NA
  • 2012 Impact Factor
    1.3 NA NA
  • 2011 Impact Factor
    0.851 NA NA
  • 2010 Impact Factor
    0.864 NA NA
  • 2009 Impact Factor
    0.879 NA NA
  • 2008 Impact Factor
    0.529 NA NA
  • 2007 Impact Factor
    0.529 NA NA
  • 2006 Impact Factor
    0.362 NA NA
  • 2005 Impact Factor
    0.341 NA NA
  • 2004 Impact Factor
    0.408 NA NA
  • 2003 Impact Factor
    0.521 NA NA
  • 2002 Impact Factor
    0.25 NA NA
  • 2001 Impact Factor
    0.619 NA NA
  • 2000 Impact Factor
    0.382 NA NA
Note: impact factor data for reference only

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Impact Factor

Impact factor (IF) is a scientometric factor based on the yearly average number of citations on articles published by a particular journal in the last two years. A journal impact factor is frequently used as a proxy for the relative importance of a journal within its field. Find out more: What is a good impact factor?

III. Other Science Influence Indicators

Any impact factor or scientometric indicator alone will not give you the full picture of a science journal. There are also other factors such as H-Index, Self-Citation Ratio, SJR, SNIP, etc. Researchers may also consider the practical aspect of a journal such as publication fees, acceptance rate, review speed. (Learn More)

Mathematical and Computer Modelling of Dynamical Systems
H-Index

The h-index is an author-level metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar. The index is based on the set of the scientist's most cited papers and the number of citations that they have received in other publications

38

Mathematical and Computer Modelling of Dynamical Systems
H-Index History

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