SCI Journal

Impact Fator Database

Bayesian Analysis

Basic Journal Info

Country

United States
Journal ISSN: 19316690, 19360975
Publisher: Carnegie Mellon University
History: 2006-ongoing
Journal Hompage: Link
Note:
You can find more information about getting published on this journal here: https://projecteuclid.org/authors/euclid.ba

Research Categories

Impact Factor Ranking

Mathematics
77

Scope/Description:

Bayesian Analysis is an electronic journal of the International Society for Bayesian Analysis. It seeks to publish a wide range of articles that demonstrate or discuss Bayesian methods in some theoretical or applied context. The journal welcomes submissions involving presentation of new computational and statistical methods; critical reviews and discussions of existing approaches; historical perspectives; description of important scientific or policy application areas; case studies; and methods for experimental design, data collection, data sharing, or data mining. Evaluation of submissions is based on importance of content and effectiveness of communication. Discussion papers are typically chosen by the Editor in Chief, or suggested by an Editor, among the regular submissions. In addition, the Journal encourages individual authors to submit manuscripts for consideration as discussion papers.

Bayesian Analysis

Impact Factor Trend 2007 - 2018 / 2019
Note: impact factor data for reference only

Impact Factor

The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric factor based on the yearly average number of citations on articles published by a particular journal in the last two years. In other words, the impact factor of 2020 is the average of the number of cited publications divided by the citable publications of a journal. A journal impact factor is frequently used as a proxy for the relative importance of a journal within its field. Normally, journals with higher impact factors are often deemed to have more influence than those with lower ones. However, the science community has also noted that review articles typically are more citable than research articles.

(Read More: What is a good impact factor?)

See what other people are reading

Discover

Bayesian Analysis

Impact Factor History
  • 2018 / 2019 Impact Factor 1.637
  • 2017 Impact Factor 1.892
  • 2016 Impact Factor 1.000
  • 2015 Impact Factor 1.031
  • 2014 Impact Factor 1.519
  • 2013 Impact Factor 2.577
  • 2012 Impact Factor 2.950
  • 2011 Impact Factor 1.684
  • 2010 Impact Factor 1.305
  • 2009 Impact Factor 1.000
  • 2008 Impact Factor 3.029
  • 2007 Impact Factor 3.063
  • 2006 Impact Factor NA
  • 2005 Impact Factor NA
  • 2004 Impact Factor NA
  • 2003 Impact Factor NA
  • 2002 Impact Factor NA
  • 2001 Impact Factor NA
  • 2000 Impact Factor NA
Note: impact factor data for reference only

3-Years Average
Impact Factor

1.510

3-Years Growth
Impact Factor

64%

5-Years Average
Impact Factor

1.416

5-Years Growth
Impact Factor

8%

See what other people are reading

Discover

Other Journal Impact Indicator

Any journal impact factor or scientometric indicator alone will not give you the full picture of a science journal. That’s why every year, scholars review current metrics to improve upon them and sometimes come up with new ones. There are also other factors to sider for example, H-Index, Self-Citation Ratio, SJR (SCImago Journal Rank Indicator) and SNIP (Source Normalized Impact per Paper). Researchers may also consider the practical aspect of a journal such as publication fees, acceptance rate, review speed.

(Read More)

Bayesian Analysis

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

42

Bayesian Analysis

SCImago Journal Rank (SJR)

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.

2.38