Modelling and Simulation in Materials Science and Engineering
Impact Factor & Key Scientometrics

Modelling and Simulation in Materials Science and Engineering
Overview

Impact Factor

NA

H Index

92

Impact Factor

2.202

I. Basic Journal Info

Country

United Kingdom
Journal ISSN: 09650393, 1361651X
Publisher: Institute of Physics Publishing
History: 1992-ongoing
Journal Hompage: Link
How to Get Published:
Find out more

Research Categories

Scope/Description:

Subject coverage. Electronic structure/properties of materials determined by ab initio and/or semi-empirical methods, e.g., quantum chemistry, density functional, tight binding. Atomic-level properties of materials, including structural, mechanical, thermodynamic and kinetic properties. Microstructural-level phenomena, including grain growth, sintering, dislocation networks, coarsening, texture. Continuum-level modelling of material behaviour or processing that contains significant new and important materials science issues. Macroscopic process models addressing how material behaviour affects or is affected by, e.g. welding, forming, casting, CVD. Modelling behaviour in service, e.g. lifetime predictions, environmental persistence, degradation.

II. Science Citation Report (SCR)



Modelling and Simulation in Materials Science and Engineering
SCR Impact Factor

Modelling and Simulation in Materials Science and Engineering
SCR Journal Ranking

Modelling and Simulation in Materials Science and Engineering
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.

0.687

Modelling and Simulation in Materials Science and Engineering
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Modelling and Simulation in Materials Science and Engineering
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Modelling and Simulation in Materials Science and Engineering
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Modelling and Simulation in Materials Science and Engineering
Impact Factor History

2-year 3-year 4-year
  • 2023 Impact Factor
    2.027 2.028 2.169
  • 2022 Impact Factor
    1.892 2.124 2.214
  • 2021 Impact Factor
    2.202 2.339 2.205
  • 2020 Impact Factor
    2.319 2.343 2.429
  • 2019 Impact Factor
    1.97 2.126 2.24
  • 2018 Impact Factor
    1.888 2.086 2.117
  • 2017 Impact Factor
    1.919 1.992 2.193
  • 2016 Impact Factor
    2.085 2.314 2.554
  • 2015 Impact Factor
    2.073 2.277 2.314
  • 2014 Impact Factor
    2.311 NA NA
  • 2013 Impact Factor
    1.874 NA NA
  • 2012 Impact Factor
    2.149 NA NA
  • 2011 Impact Factor
    2.733 NA NA
  • 2010 Impact Factor
    1.945 NA NA
  • 2009 Impact Factor
    1.791 NA NA
  • 2008 Impact Factor
    1.785 NA NA
  • 2007 Impact Factor
    1.467 NA NA
  • 2006 Impact Factor
    1.729 NA NA
  • 2005 Impact Factor
    1.612 NA NA
  • 2004 Impact Factor
    1.57 NA NA
  • 2003 Impact Factor
    1.101 NA NA
  • 2002 Impact Factor
    1.417 NA NA
  • 2001 Impact Factor
    1.056 NA NA
  • 2000 Impact Factor
    0.881 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)

Modelling and Simulation in Materials Science and Engineering
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

92

Modelling and Simulation in Materials Science and Engineering
H-Index History

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