Communications in Combinatorics and Optimization
Impact Factor & Key Scientometrics

Communications in Combinatorics and Optimization
Overview

Impact Factor

H Index

11

Impact Factor

1.472

I. Basic Journal Info

Country

Iran
Journal ISSN: 25382128, 25382136
Publisher: NA
History: 2017-2022
Journal Hompage: Link
How to Get Published:
Find out more

Research Categories

Scope/Description:

Communications in Combinatorics and Optimization is devoted to publishing original and innovative research papers in combinatorics and optimization, peripherally interdisciplinary. The journal aims to provide a complete and reliable source of information on current developments in the fields. Publishing articles with high quality as rapidly as possible and making them available to interested researchers worldwide is the main scope. The journal encourages contributions from the three important parts of graph theory, combinatorics, and optimization; and their application. The first part includes structural graph theory, extremal graph theory, algebraic graph theory, chemical graph theory, and random graphs. The second part consists of combinatorial design, combinatorial enumeration, coding theory, the combinatorial probabilistic method, etc. The third part includes scheduling, network optimization, integer programming, constrained and unconstrained optimization, game theory, algorithm design, and complexity analysis, etc

II. Science Citation Report (SCR)



Communications in Combinatorics and Optimization
SCR Impact Factor

Communications in Combinatorics and Optimization
SCR Journal Ranking

Communications in Combinatorics and Optimization
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 Combinatorics and Optimization
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Communications in Combinatorics and Optimization
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Communications in Combinatorics and Optimization
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Communications in Combinatorics and Optimization
Impact Factor History

2-year 3-year 4-year
  • 2023 Impact Factor
    1.918 1.851 1.612
  • 2022 Impact Factor
    1.833 1.567 1.722
  • 2021 Impact Factor
    1.472 1.688 1.68
  • 2020 Impact Factor
    1.7 1.594 1.594
  • 2019 Impact Factor
    0.786 0.786 0.786
  • 2018 Impact Factor
    0 0 0
  • 2017 Impact Factor
    0 0 0
  • 2016 Impact Factor
    NA NA NA
  • 2015 Impact Factor
    NA NA NA
  • 2014 Impact Factor
    NA NA NA
  • 2013 Impact Factor
    NA NA NA
  • 2012 Impact Factor
    NA NA NA
  • 2011 Impact Factor
    NA NA NA
  • 2010 Impact Factor
    NA NA NA
  • 2009 Impact Factor
    NA NA NA
  • 2008 Impact Factor
    NA NA NA
  • 2007 Impact Factor
    NA 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 Combinatorics and Optimization
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 Combinatorics and Optimization
H-Index History

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