Natural Language Engineering
Impact Factor & Key Scientometrics

Natural Language Engineering
Overview

Impact Factor

1.07

H Index

57

Impact Factor

2.027

I. Basic Journal Info

Country

United Kingdom
Journal ISSN: 13513249, 14698110
Publisher: Cambridge University Press
History: 1995-ongoing
Journal Hompage: Link
How to Get Published:

Research Categories

Natural Language Engineering
Impact Factor by Web of Science

Index

SCIE/SSCI

Impact Factor

1.07

by WOS

Ranking

10703

by WOS

Natural Language Engineering
SJR, SJR Impact Factor and H Index

H Index

57

SJR

0.29

Scopus Impact Factor

2.027

Natural Language Engineering
SJR Impact Factor 2-year, 3-year, 4-year

2-year
Impact Factor

2.027

3-year
Impact Factor

1.891

4-year
Impact Factor

2.027

Scope/Description:

Natural Language Engineering meets the needs of professionals and researchers working in all areas of computerised language processing, whether from the perspective of theoretical or descriptive linguistics, lexicology, computer science or engineering. Its aim is to bridge the gap between traditional computational linguistics research and the implementation of practical applications with potential real-world use. As well as publishing research articles on a broad range of topics - from text analysis, machine translation, information retrieval and speech analysis and generation to integrated systems and multi modal interfaces - it also publishes special issues on specific areas and technologies within these topics, an industry watch column and book reviews.

II. Science Citation Report (SCR)



Natural Language Engineering
SCR Impact Factor

Natural Language Engineering
SCR Journal Ranking

Natural Language Engineering
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.

0.29

Natural Language Engineering
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Natural Language Engineering
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Natural Language Engineering
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Natural Language Engineering
Impact Factor History

2-year 3-year 4-year
  • 2021 Impact Factor
    2.027 1.891 2.635
  • 2020 Impact Factor
    1.481 2.059 2.237
  • 2019 Impact Factor
    2.432 2.604 2.507
  • 2018 Impact Factor
    2.04 2.019 2.187
  • 2017 Impact Factor
    1.515 1.718 1.67
  • 2016 Impact Factor
    2.458 2.212 2.034
  • 2015 Impact Factor
    1.892 1.603 1.55
  • 2014 Impact Factor
    1.282 NA NA
  • 2013 Impact Factor
    1.395 NA NA
  • 2012 Impact Factor
    1.95 NA NA
  • 2011 Impact Factor
    1.8 NA NA
  • 2010 Impact Factor
    2.2 NA NA
  • 2009 Impact Factor
    1.974 NA NA
  • 2008 Impact Factor
    2.371 NA NA
  • 2007 Impact Factor
    1.692 NA NA
  • 2006 Impact Factor
    3.278 NA NA
  • 2005 Impact Factor
    1.25 NA NA
  • 2004 Impact Factor
    1.641 NA NA
  • 2003 Impact Factor
    1.057 NA NA
  • 2002 Impact Factor
    1.162 NA NA
  • 2001 Impact Factor
    0.35 NA NA
  • 2000 Impact Factor
    0.429 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)

Natural Language Engineering
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

57

Natural Language Engineering
H-Index History