Communications in Computer and Information Science
Impact Factor & Key Scientometrics

Communications in Computer and Information Science
Overview

Impact Factor

NA

H Index

69

Impact Factor

0.49

I. Basic Journal Info

Country

Germany
Journal ISSN: 18650929, 18650937
Publisher: Springer Science and Business Media Deutschland GmbH
History: 2007-2021
Journal Hompage: Link
How to Get Published:
Find out more

Research Categories

Scope/Description:

The CCIS series is devoted to the publication of proceedings of computer science conferences. Its aim is to efficiently disseminate original research results in informatics in printed and electronic form. While the focus is on publication of peerreviewed full papers presenting mature work inclusion of reviewed short papers reporting on work in progress is welcome too. Besides globally relevant meetings with internationally representative program committees guaranteeing a strict peerreviewing and paper selection process conferences run by societies or of high regional or national relevance are also considered for publication.The topical scope of CCIS spans the entire spectrum of informatics ranging from foundational topics in the theory of computing to information and communications science and technology and a broad variety of interdisciplinary application fields.

II. Science Citation Report (SCR)



Communications in Computer and Information Science
SCR Impact Factor

Communications in Computer and Information Science
SCR Journal Ranking

Communications in Computer and Information Science
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.

Communications in Computer and Information Science
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Communications in Computer and Information Science
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Communications in Computer and Information Science
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Communications in Computer and Information Science
Impact Factor History

2-year 3-year 4-year
  • 2023 Impact Factor
    0.511 0.543 0.538
  • 2022 Impact Factor
    0.528 0.528 0.517
  • 2021 Impact Factor
    0.49 0.488 0.494
  • 2020 Impact Factor
    0.47 0.509 0.497
  • 2019 Impact Factor
    0.549 0.532 0.512
  • 2018 Impact Factor
    0.485 0.474 0.469
  • 2017 Impact Factor
    0.421 0.436 0.41
  • 2016 Impact Factor
    0.443 0.418 0.381
  • 2015 Impact Factor
    0.37 0.333 0.305
  • 2014 Impact Factor
    0.325 NA NA
  • 2013 Impact Factor
    0.221 NA NA
  • 2012 Impact Factor
    0.217 NA NA
  • 2011 Impact Factor
    0.269 NA NA
  • 2010 Impact Factor
    0.27 NA NA
  • 2009 Impact Factor
    0.194 NA NA
  • 2008 Impact Factor
    0.119 NA NA
  • 2007 Impact Factor
    0 NA NA
  • 2006 Impact Factor
    NA NA NA
  • 2005 Impact Factor
    NA NA NA
  • 2004 Impact Factor
    NA NA NA
  • 2003 Impact Factor
    NA NA NA
  • 2002 Impact Factor
    NA NA NA
  • 2001 Impact Factor
    NA NA NA
  • 2000 Impact Factor
    NA 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)

Communications in Computer and Information Science
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

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Communications in Computer and Information Science
H-Index History

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