SCI Journal

Impact Factor Database

International Journal for Uncertainty Quantification

Basic Journal Info

Country

United States
Journal ISSN: 21525080, 21525099
Publisher: Begell House Inc.
History: 2014-ongoing
Journal Hompage: Link
Note:
You can find more information about getting published on this journal here: http://www.begellhouse.com/forauthors/journals/uncertainty-quantification.html

Research Categories

Impact Factor Ranking

Mathematics
17

Scope/Description:

The International Journal for Uncertainty Quantification disseminates information of permanent interest in the areas of analysis, modeling, design and control of complex systems in the presence of uncertainty. The journal seeks to emphasize methods that cross stochastic analysis, statistical modeling and scientific computing. Systems of interest are governed by differential equations possibly with multiscale features. Topics of particular interest include representation of uncertainty, propagation of uncertainty across scales, resolving the curse of dimensionality, long-time integration for stochastic PDEs, data-driven approaches for constructing stochastic models, validation, verification and uncertainty quantification for predictive computational science, and visualization of uncertainty in high-dimensional spaces. Bayesian computation and machine learning techniques are also of interest for example in the context of stochastic multiscale systems, for model selection/classification, and decision making. Reports addressing the dynamic coupling of modern experiments and modeling approaches towards predictive science are particularly encouraged. Applications of uncertainty quantification in all areas of physical and biological sciences are appropriate.

International Journal for Uncertainty Quantification

Impact Factor Trend 2015 - 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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International Journal for Uncertainty Quantification

Impact Factor History
  • 2018 / 2019 Impact Factor 3.161
  • 2017 Impact Factor 1.169
  • 2016 Impact Factor 1.404
  • 2015 Impact Factor 1.375
  • 2014 Impact Factor NA
  • 2013 Impact Factor NA
  • 2012 Impact Factor NA
  • 2011 Impact Factor NA
  • 2010 Impact Factor NA
  • 2009 Impact Factor NA
  • 2008 Impact Factor NA
  • 2007 Impact Factor NA
  • 2006 Impact Factor NA
  • 2005 Impact Factor NA
  • 2004 Impact Factor NA
  • 2003 Impact Factor NA
  • 2002 Impact Factor NA
  • 2001 Impact Factor NA
  • 2000 Impact Factor NA
Note: impact factor data for reference only

3-Years Average
Impact Factor

1.911

3-Years Growth
Impact Factor

125%

5-Years Average
Impact Factor

1.777

5-Years Growth
Impact Factor

NA

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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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International Journal for Uncertainty Quantification

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

14

International Journal for Uncertainty Quantification

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.

0.42