SCI Journal

Impact Factor Database

Communications in Nonlinear Science and Numerical Simulation

Basic Journal Info

Country

Netherlands
Journal ISSN: 10075704
Publisher: Elsevier BV
History: 1996-ongoing
Journal Hompage: Link
Note:
You can find more information about getting published on this journal here: https://ees.elsevier.com/cnsns/

Research Categories

Communications in Nonlinear Science and Numerical Simulation

2-year
Impact Factor

4.701

3-year
Impact Factor

4.383

4-year
Impact Factor

4.125

Scope/Description:

The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.

Communications in Nonlinear Science and Numerical Simulation

2-year Impact Factor Trend
Note: impact factor data for reference only

Communications in Nonlinear Science and Numerical Simulation

3-year Impact Factor Trend
Note: impact factor data for reference only

Communications in Nonlinear Science and Numerical Simulation

4-year Impact Factor Trend
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.

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Communications in Nonlinear Science and Numerical Simulation

Impact Factor History
  • 2019 Impact Factor 4.701
  • 2018 Impact Factor 4.259
  • 2017 Impact Factor 3.514
  • 2016 Impact Factor 3.277
  • 2015 Impact Factor 3.561
  • 2014 Impact Factor 3.711
  • 2013 Impact Factor 3.360
  • 2012 Impact Factor 3.500
  • 2011 Impact Factor 3.769
  • 2010 Impact Factor 3.403
  • 2009 Impact Factor 2.350
  • 2008 Impact Factor 1.579
  • 2007 Impact Factor 1.176
  • 2006 Impact Factor 0.752
  • 2005 Impact Factor 0.659
  • 2004 Impact Factor 0.509
  • 2003 Impact Factor 0.140
  • 2002 Impact Factor 0.066
  • 2001 Impact Factor 0.237
  • 2000 Impact Factor 0.143
Note: impact factor data for reference only

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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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Communications in Nonlinear Science and Numerical Simulation

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

96

Communications in Nonlinear Science and Numerical Simulation

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.

1.33