Computational Thermal Sciences
Impact Factor & Key Scientometrics

Computational Thermal Sciences

Impact Factor


H Index


Impact Factor


I. Basic Journal Info


United States
Journal ISSN: 19402503, 19402554
Publisher: Begell House Inc.
History: 2009-2021
Journal Hompage: Link
How to Get Published:

Research Categories


Computational Thermal Sciences is an international journal designed to provide a forum for the exposure and exchange of ideas methods and results in computational thermodynamics fluid dynamics heat transfer and mass transfer in solids liquids and gases with applications in areas such as energy materials processing manufacturing and the environment. All modes of heat and mass transfer will be included conduction convection diffusion radiation and phase change. Topics to be covered will also include the laws of thermodynamics the thermal properties of substances engine and refrigeration cycles and combustion.Papers on all aspectsboth fundamental and appliedwill be welcome on the one hand the development of new mathematical methods and computational algorithms and on the other the application of new or existing methods to the solution of problems in the thermal sciences. Reports of experimental studies undertaken in conjunction with computational work are encouraged. In addition review papers on relevant topics are invited as is correspondence on published papers. The assessment of the accuracy of computational solutions through verification examining and limiting errors associated with discretization and with the computational solution methods adopted and validation quantification of errors in the physical models used are essential parts of any computational study and authors are expected to examine these aspects.Correspondence will be welcomed on any aspect of the papers published.

II. Science Citation Report (SCR)

Computational Thermal Sciences
SCR Impact Factor

Computational Thermal Sciences
SCR Journal Ranking

Computational Thermal Sciences
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.

Computational Thermal Sciences
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Computational Thermal Sciences
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Computational Thermal Sciences
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Computational Thermal Sciences
Impact Factor History

2-year 3-year 4-year
  • 2022 Impact Factor
    1.647 1.529 1.382
  • 2021 Impact Factor
    1.657 1.627 1.468
  • 2020 Impact Factor
    0.926 0.981 0.979
  • 2019 Impact Factor
    0.826 0.86 0.824
  • 2018 Impact Factor
    0.907 0.888 0.906
  • 2017 Impact Factor
    0.646 0.82 0.772
  • 2016 Impact Factor
    0.464 0.532 0.612
  • 2015 Impact Factor
    0.398 0.496 0.476
  • 2014 Impact Factor
    0.628 NA NA
  • 2013 Impact Factor
    0.414 NA NA
  • 2012 Impact Factor
    0.235 NA NA
  • 2011 Impact Factor
    0.429 NA NA
  • 2010 Impact Factor
    0.696 NA NA
  • 2009 Impact Factor
    0 NA NA
  • 2008 Impact Factor
    NA NA NA
  • 2007 Impact Factor
    NA NA NA
  • 2006 Impact Factor
    NA NA NA
  • 2005 Impact Factor
    NA NA NA
  • 2004 Impact Factor
    NA NA NA
  • 2003 Impact Factor
    NA NA NA
  • 2002 Impact Factor
    NA NA NA
  • 2001 Impact Factor
    NA NA NA
  • 2000 Impact Factor
    NA NA NA
Note: impact factor data for reference only




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)

Computational Thermal Sciences

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


Computational Thermal Sciences
H-Index History