SCI Journal

Impact Factor Database

Neural Networks

Basic Journal Info


United Kingdom
Journal ISSN: 8936080
Publisher: Elsevier Ltd.
History: 1988-ongoing
Journal Hompage: Link
You can find more information about getting published on this journal here:

Research Categories

Neural Networks

Impact Factor


Impact Factor


Impact Factor



Neural Networks is the archival journal of the world's three oldest neural modeling societies: the International Neural Network Society (INNS), the European Neural Network Society (ENNS), and the Japanese Neural Network Society (JNNS). A subscription to the journal is included with membership in each of these societies. Neural Networks provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks and related approaches to computational intelligence. Neural Networks welcomes high quality submissions that contribute to the full range of neural networks research, from behavioral and brain modeling, learning algorithms, through mathematical and computational analyses, to engineering and technological applications of systems that significantly use neural network concepts and techniques. This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies, and helps to foster the development of the interdisciplinary community that is interested in biologically-inspired computational intelligence. Accordingly, Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. The journal publishes articles, letters and reviews, as well as letters to the editor, editorials, current events, software surveys, and patent information. Articles are published in one of five sections: Cognitive Science, Neuroscience, Learning Systems, Mathematical and Computational Analysis, Engineering and Applications.

Neural Networks

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

Neural Networks

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

Neural Networks

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.

Find out more: What is a good impact factor?
And check out: How to get published in a top science journal?

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Neural Networks

Impact Factor History
  • 2019 Impact Factor 7.220
  • 2018 Impact Factor 6.479
  • 2017 Impact Factor 9.036
  • 2016 Impact Factor 6.696
  • 2015 Impact Factor 4.453
  • 2014 Impact Factor 4.120
  • 2013 Impact Factor 3.277
  • 2012 Impact Factor 3.004
  • 2011 Impact Factor 3.294
  • 2010 Impact Factor 2.976
  • 2009 Impact Factor 3.118
  • 2008 Impact Factor 3.441
  • 2007 Impact Factor 3.170
  • 2006 Impact Factor 2.927
  • 2005 Impact Factor 2.466
  • 2004 Impact Factor 2.412
  • 2003 Impact Factor 2.356
  • 2002 Impact Factor 2.218
  • 2001 Impact Factor 1.891
  • 2000 Impact Factor 1.231
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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Neural Networks


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


Neural Networks

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.