Reliability: Theory and Applications
Impact Factor & Key Scientometrics

Reliability: Theory and Applications
Overview

Impact Factor

H Index

Impact Factor

0.444

I. Basic Journal Info

Country

United States
Journal ISSN: 19322321
Publisher: NA
History: 2017-2022
Journal Hompage: Link
How to Get Published:

Research Categories

Scope/Description:

Electronic Journal Reliability: Theory & Applications (ISSN 1932-2321) has been published by Gnedenko Forum since January 2006.The Journal covers various areas of risk analysis (reliability, safety, security, survivability, antiterrorism defensive ability, quality control, reliability testing, queuing models, and other related topics). Reliability: Theory & Applications (ISSN 1932-2321) is a peer-reviewed journal for researchers and practitioners who are involved in risk analysis and reliability engineering. The Journal will publish high-quality papers covering foundational, theoretical, methodological, and practical issues relevant for the safe and reliable design and operation of engineering systems from any industrial sector. Theoretical and applied papers, reviews, memoirs, and bibliographical material on the topics are subjects of publication. Pure theoretical papers should contain new problems and/or new solutions and outline practical applications, but should not be overloaded with clumsy formal material. Priority is given to clear practical applications and case studies. Papers presented for publication are directed to members of the Editorial Board for review. The only exception is made for papers presented by Associate Editors who can personally recommend papers for publication.

II. Science Citation Report (SCR)



Reliability: Theory and Applications
SCR Impact Factor

Reliability: Theory and Applications
SCR Journal Ranking

Reliability: Theory and Applications
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.

Reliability: Theory and Applications
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Reliability: Theory and Applications
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Reliability: Theory and Applications
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Reliability: Theory and Applications
Impact Factor History

2-year 3-year 4-year
  • 2022 Impact Factor
    0.539 0.519 0.502
  • 2021 Impact Factor
    0.444 0.391 0.377
  • 2020 Impact Factor
    0.423 0.366 0.366
  • 2019 Impact Factor
    0.186 0.186 0.186
  • 2018 Impact Factor
    0.633 0.633 0.633
  • 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)

Reliability: Theory and Applications
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

Reliability: Theory and Applications
H-Index History