SCI Journal

Impact Fator Database

Mathematical and Computer Modelling of Dynamical Systems

Basic Journal Info

Country

United Kingdom
Journal ISSN: 13873954
Publisher: Taylor & Francis
History: 1996-ongoing
Journal Hompage: Link
Note:
You can find more information about getting published on this journal here: https://mc.manuscriptcentral.com/mcmds

Research Categories

Impact Factor Ranking

Computer Science
558

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.

Mathematical and Computer Modelling of Dynamical Systems

Impact Factor Trend 2000 - 2018 / 2019
Note: impact factor data for reference only

Impact Factor

The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric factor based on the yearly average number of citations on articles published by a particular journal in the last two years. In other words, the impact factor of 2020 is the average of the number of cited publications divided by the citable publications of a journal. A journal impact factor is frequently used as a proxy for the relative importance of a journal within its field. Normally, journals with higher impact factors are often deemed to have more influence than those with lower ones. However, the science community has also noted that review articles typically are more citable than research articles.

(Read More: What is a good impact factor?)

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Mathematical and Computer Modelling of Dynamical Systems

Impact Factor History
  • 2018 / 2019 Impact Factor 1.123
  • 2017 Impact Factor 1.000
  • 2016 Impact Factor 0.561
  • 2015 Impact Factor 0.985
  • 2014 Impact Factor 1.000
  • 2013 Impact Factor 1.397
  • 2012 Impact Factor 1.379
  • 2011 Impact Factor 0.960
  • 2010 Impact Factor 1.222
  • 2009 Impact Factor 0.867
  • 2008 Impact Factor 0.507
  • 2007 Impact Factor 0.547
  • 2006 Impact Factor 0.304
  • 2005 Impact Factor 0.341
  • 2004 Impact Factor 0.347
  • 2003 Impact Factor 0.479
  • 2002 Impact Factor 0.250
  • 2001 Impact Factor 0.619
  • 2000 Impact Factor 0.353
Note: impact factor data for reference only

3-Years Average
Impact Factor

0.895

3-Years Growth
Impact Factor

100%

5-Years Average
Impact Factor

0.934

5-Years Growth
Impact Factor

12%

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Other Journal Impact Indicator

Any journal impact factor or scientometric indicator alone will not give you the full picture of a science journal. That’s why every year, scholars review current metrics to improve upon them and sometimes come up with new ones. There are also other factors to sider for example, H-Index, Self-Citation Ratio, SJR (SCImago Journal Rank Indicator) and SNIP (Source Normalized Impact per Paper). Researchers may also consider the practical aspect of a journal such as publication fees, acceptance rate, review speed.

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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

29

Mathematical and Computer Modelling of Dynamical Systems

SCImago Journal Rank (SJR)

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.

0.29