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CMES - Computer Modeling in Engineering and Sciences

Basic Journal Info

Country: United States
Journal ISSN: 15261492, 15261506
Publisher: Tech Science Press
History: 2000-ongoing
Journal Hompage: Link
Note: You can find more information about getting published on this journal here: http://www.techscience.com/CMES/info/auth_instru

Research Categories

Computer Science,Mathematics

Impact Factor Ranking

CMES - Computer Modeling in Engineering and Sciences

10235

Scope/Description:

This journal publishes original research papers of reasonable permanent value, in the areas of computational mechanics, computational physics, computational chemistry, and computational biology, pertinent to solids, fluids, gases, biomaterials, and other continua. Various length scales (quantum, nano, micro, meso, and macro), and various time scales ( picoseconds to hours) are of interest. Papers which deal with multi-physics problems, as well as those which deal with the interfaces of mechanics, chemistry, and biology, are particularly encouraged. New computational approaches, and more efficient algorithms, which eventually make near-real-time computations possible, are welcome. Original papers dealing with new methods such as meshless methods, and mesh-reduction methods are sought.


CMES - Computer Modeling in Engineering and Sciences | Journal Impact Factor 2021 Trends

Impact Factor Trend 2000 - 2021

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 2021 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.Here you can check the journal performance trends based on last 20 years of data, also check the latest journal citation reports 2021. Also Check H-Index, SCImago journal rank and journal impact factor 2021.

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CMES - Computer Modeling in Engineering and Sciences

Impact Factor History

  • 2020/2021 Impact Factor NA
  • 2019 Impact Factor 0.796
  • 2018 Impact Factor 0.815
  • 2017 Impact Factor 0.725
  • 2016 Impact Factor 0.810
  • 2015 Impact Factor 1.358
  • 2014 Impact Factor 1.356
  • 2013 Impact Factor 1.444
  • 2012 Impact Factor 1.041
  • 2011 Impact Factor 1.312
  • 2010 Impact Factor 2.016
  • 2009 Impact Factor 3.918
  • 2008 Impact Factor 5.051
  • 2007 Impact Factor 1.638
  • 2006 Impact Factor 1.914
  • 2005 Impact Factor 2.164
  • 2004 Impact Factor 2.795
  • 2003 Impact Factor 2.342
  • 2002 Impact Factor 1.031
  • 2001 Impact Factor 1.000
  • 2000 Impact Factor NA

Note: impact factor data for reference only

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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CMES - Computer Modeling in Engineering and Sciences

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

58

CMES - Computer Modeling in Engineering and Sciences

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.

0.31


Ratings

by Authors/Academicians