Neural Networks
Impact Factor & Key Scientometrics

Neural Networks
Overview

Impact Factor

8.05

H Index

154

Impact Factor

9.697

I. Basic Journal Info

Country

United Kingdom
Journal ISSN: 08936080, 18792782
Publisher: Elsevier Ltd.
History: 1988-ongoing
Journal Hompage: Link
How to Get Published:

Research Categories

Scope/Description:

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.

II. Science Citation Report (SCR)



Neural Networks
SCR Impact Factor

Neural Networks
SCR Journal Ranking

Neural Networks
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.

1.396

Neural Networks
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Neural Networks
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Neural Networks
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Neural Networks
Impact Factor History

2-year 3-year 4-year
  • 2022 Impact Factor
    8.672 9.658 9.877
  • 2021 Impact Factor
    9.697 9.75 9.44
  • 2020 Impact Factor
    9.448 9.114 8.669
  • 2019 Impact Factor
    7.118 7.21 10.237
  • 2018 Impact Factor
    6.446 9.957 9.077
  • 2017 Impact Factor
    9.007 8.079 7.015
  • 2016 Impact Factor
    6.552 5.856 5.436
  • 2015 Impact Factor
    4.345 4.378 4.133
  • 2014 Impact Factor
    3.941 NA NA
  • 2013 Impact Factor
    3.183 NA NA
  • 2012 Impact Factor
    2.884 NA NA
  • 2011 Impact Factor
    3.131 NA NA
  • 2010 Impact Factor
    2.815 NA NA
  • 2009 Impact Factor
    2.932 NA NA
  • 2008 Impact Factor
    3.107 NA NA
  • 2007 Impact Factor
    2.875 NA NA
  • 2006 Impact Factor
    2.646 NA NA
  • 2005 Impact Factor
    2.378 NA NA
  • 2004 Impact Factor
    2.303 NA NA
  • 2003 Impact Factor
    2.228 NA NA
  • 2002 Impact Factor
    2.176 NA NA
  • 2001 Impact Factor
    1.874 NA NA
  • 2000 Impact Factor
    1.252 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)

Neural Networks
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

154

Neural Networks
H-Index History