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Austrian Journal of Statistics
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Journal Impact IF

2021-2022

0.813

-25.2 %

Journal Impact IF Trend

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Austrian Journal of Statistics

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Austrian Journal of Statistics

High Impact Research Keywords

Journal Research Scope

Austrian Journal of Statistics

Research Scope

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Research Scope

Journal Impact IF Ranking

Austrian Journal of Statistics

Journal Impact IF Ranking
Subcategory Quartile Rank Percentile
Statistics, Probability and Uncertainty Q3 82/152

Statistics, Probability and Uncertainty 46%

Statistics and Probability Q3 137/239

Statistics and Probability 42%

Applied Mathematics Q3 339/548

Applied Mathematics 38%

Journal Impact IF Ranking

· In the Statistics, Probability and Uncertainty research field, the Quartile of Austrian Journal of Statistics is Q3. Austrian Journal of Statistics has been ranked #82 over 152 related journals in the Statistics, Probability and Uncertainty research category. The ranking percentile of Austrian Journal of Statistics is around 46% in the field of Statistics, Probability and Uncertainty.
· In the Statistics and Probability research field, the Quartile of Austrian Journal of Statistics is Q3. Austrian Journal of Statistics has been ranked #137 over 239 related journals in the Statistics and Probability research category. The ranking percentile of Austrian Journal of Statistics is around 42% in the field of Statistics and Probability.
· In the Applied Mathematics research field, the Quartile of Austrian Journal of Statistics is Q3. Austrian Journal of Statistics has been ranked #339 over 548 related journals in the Applied Mathematics research category. The ranking percentile of Austrian Journal of Statistics is around 38% in the field of Applied Mathematics.

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Austrian Journal of Statistics

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Austrian Journal of Statistics

The 2021-2022 Journal Impact IF of Austrian Journal of Statistics is 0.813, which is just updated in 2022.

Austrian Journal of Statistics Impact Factor
Highest IF
1.227
Highest Journal Impact IF

The highest Journal Impact IF of Austrian Journal of Statistics is 1.227.

Lowest IF
0.308
Lowest Journal Impact IF

The lowest Journal Impact IF of Austrian Journal of Statistics is 0.308.

Total Growth Rate
164.0%
IF Total Growth Rate

The total growth rate of Austrian Journal of Statistics IF is 164.0%.

Annual Growth Rate
32.8%
IF Annual Growth Rate

The annual growth rate of Austrian Journal of Statistics IF is 32.8%.

Journal Impact IF History

Austrian Journal of Statistics

Journal Impact IF Trend

Year Journal Impact IF
Year Journal Impact IF
2022-2023 Check our Real-Time Impact Factor and Impact Factor Prediction Results
2020-2021 0.813
2019-2020 1.087
2018-2019 1.227
2017-2018 0.659
2016-2017 0.308
2015-2016 -
2014-2015 -
2013-2014 -
2012-2013 -
2011-2012 -
Journal Impact IF History

· The 2020-2021 Journal Impact IF of Austrian Journal of Statistics is 0.813
· The 2019-2020 Journal Impact IF of Austrian Journal of Statistics is 1.087
· The 2018-2019 Journal Impact IF of Austrian Journal of Statistics is 1.227
· The 2017-2018 Journal Impact IF of Austrian Journal of Statistics is 0.659
· The 2016-2017 Journal Impact IF of Austrian Journal of Statistics is 0.308
The Journal Impact IF 2015-2016 of Austrian Journal of Statistics is still under analysis. Stay Tuned!
The Journal Impact IF 2014-2015 of Austrian Journal of Statistics is still under analysis. Stay Tuned!
The Journal Impact IF 2013-2014 of Austrian Journal of Statistics is still under analysis. Stay Tuned!
The Journal Impact IF 2012-2013 of Austrian Journal of Statistics is still under analysis. Stay Tuned!
The Journal Impact IF 2011-2012 of Austrian Journal of Statistics is still under analysis. Stay Tuned!

Austrian Journal of Statistics

Journal Key Metrics
Journal Title Austrian Journal of Statistics
ISSN -
ISSN (Online) 1026-597X
Publisher
Austrian Society for Statistics
Publication Frequency
Quarterly
Coverage
2014 - Present
Open Access
YES
Language
German
Highest Impact Factor (2011 - 2022) 1.227
Lowest Impact Factor (2011 - 2022) 0.308
Total Impact Factor IF Growth Rate (2011 - 2022) 164.0%
Avarage Impact Factor IF Growth Rate (2011 - 2022) 32.8%
Annual Impact Factor IF Growth Rate (2021 - 2022) -25.2 %
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Austrian Journal of Statistics

Impact Factor 2022-2023 Prediction
Austrian Journal of Statistics Impact Factor Predition System

Austrian Journal of Statistics Impact Factor Prediction System is now online. You can start share your valuable insights with the community.

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What is Impact Factor?

The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly average number of citations of articles published in the last two years in a given journal. It is frequently used as a proxy for the relative importance of a journal within its field; journals with higher impact factor values are often deemed to be more important, or carry more intrinsic prestige in their respective fields, than those with lower values.

Austrian Journal of Statistics | Academic Accelerator - About the Impact Factor

Impact factor is commonly used to evaluate the relative importance of a journal within its field and to measure the frequency with which the “average article” in a journal has been cited in a particular time period. Journal which publishes more review articles will get highest IFs. Journals with higher IFs believed to be more important than those with lower ones. According to Eugene Garfield “impact simply reflects the ability of the journals and editors to attract the best paper available.” Journal which publishes more review articles will get maximum IFs. The Impact Factor of an academic journal is a scientometric Metric that reflects the yearly average number of citations that recent articles published in a given journal received. It is frequently used as a Metric for the relative importance of a journal within its field; journals with higher Impact Factor are often deemed to be more important than those with lower ones. The Austrian Journal of Statistics Impact Factor IF measures the average number of citations received in a particular year (2021) by papers published in the Austrian Journal of Statistics during the two preceding years (2019-2020). Note that 2021 Impact Factor are reported in 2022; they cannot be calculated until all of the 2021 publications have been processed by the indexing agency. New journals, which are indexed from their first published issue, will receive an impact factor after two years of indexing; in this case, the citations to the year prior to Volume 1, and the number of articles published in the year prior to Volume 1, are known zero values. Journals that are indexed starting with a volume other than the first volume will not get an impact factor until they have been indexed for three years. Occasionally, Journal Citation Reports assigns an impact factor to new journals with less than two years of indexing, based on partial citation data. The calculation always uses two complete and known years of item counts, but for new titles one of the known counts is zero. Annuals and other irregular publications sometimes publish no items in a particular year, affecting the count. The impact factor relates to a specific time period; it is possible to calculate it for any desired period. In addition to the 2-year Impact Factor, the 3-year Impact Factor, 4-year Impact Factor, 5-year Impact Factor, Real-Time Impact Factor can provide further insights and factors into the impact of Austrian Journal of Statistics.

History

The impact factor was devised by Eugene Garfield, the founder of the Institute for Scientific Information (ISI). Impact factors are calculated yearly starting from 1975 for journals listed in the Journal Citation Reports (JCR). ISI was acquired by Thomson Scientific & Healthcare in 1992, and became known as Thomson ISI. In 2018, Thomson ISI was sold to Onex Corporation and Baring Private Equity Asia. They founded a new corporation, Clarivate, which is now the publisher of the JCR.

Use

The impact factor is used to compare different journals within a certain field. The Web of Science indexes more than 11,500 science and social science journals. Journal impact factors are often used to evaluate the merit of individual articles and individual researchers. This use of impact factors was summarised by Hoeffel:

Impact Factor is not a perfect tool to measure the quality of articles but there is nothing better and it has the advantage of already being in existence and is, therefore, a good technique for scientific evaluation. Experience has shown that in each specialty the best journals are those in which it is most difficult to have an article accepted, and these are the journals that have a high impact factor. Most of these journals existed long before the impact factor was devised. The use of impact factor as a measure of quality is widespread because it fits well with the opinion we have in each field of the best journals in our specialty....In conclusion, prestigious journals publish papers of high level. Therefore, their impact factor is high, and not the contrary.

Eugene Garfield

In brief, Impact factors may be used by:
  • Authors to decide where to submit an article for publication.
  • Libraries to make collection development decisions
  • Academic departments to assess academic productivity
  • Academic departments to make decisions on promotion and tenure.
As impact factors are a journal-level metric, rather than an article- or individual-level metric, this use is controversial. Garfield agrees with Hoeffel,but warns about the "misuse in evaluating individuals" because there is "a wide variation [of citations] from article to article within a single journal". Other things to consider about Impact Factors:
  • Many journals do not have an impact factor.
  • The impact factor cannot assess the quality of individual articles. Even if citations were evenly distributed among articles, the impact factor would only measure the interests of other researchers in an article, not its importance and usefulness.
  • Only research articles, technical notes and reviews are “citable” items. Editorials, letters, news items and meeting abstracts are “non-citable items”.
  • Only a small percentage of articles are highly cited and they are found in a small subset of journals. This small proportion accounts for a large percentage of citations.
  • Controversial papers, such as those based on fraudulent data, may be highly cited, distorting the impact factor of a journal.
  • Citation bias may exist. For example, English language resources may be favoured. Authors may cite their own work.
Moreover, informed and careful use of these impact data is essential, and should be based on a thorough understanding of the methodology used to generate impact factors. There are controversial aspects of using impact factors:
  • It is not clear whether the number of times a paper is cited measures its actual quality.
  • Some databases that calculate impact factors fail to incorporate publications including textbooks, handbooks and reference books.
  • Certain disciplines have low numbers of journals and usage. Therefore, one should only compare journals or researchers within the same discipline.
  • Review articles normally are cited more often and therefore can skew results.
  • Self-citing may also skew results.
  • Some resources used to calculate impact factors have inadequate international coverage.
  • Editorial policies can artificially inflate an impact factor.
Impact factors have often been used in advancement and tenure decision-making. Many recognize that this is a coarse tool for such important decisions, and that a multitude of factors should be taken into account in these deliberations. When considering the use of the impact factor (IF), keep these aspects in mind:
  • IF analysis is limited to citations from the journals indexed by the Web of Science/Web of Knowledge. Currently, the Web of Science indexes only 8621 journals across the full breadth of the sciences, and just 3121 in the social sciences.
  • A high IF/citation rate says nothing about the quality -- or even, validity -- of the references being cited. Notorious or even retracted articles often attract a lot of attention, hence a high number of citations. The notority related to the first publication on "cold fusion" is one such example.
  • Journals that publish more "review articles" are often found near the top of the rankings. While not known for publishing new, creative findings, these individual articles tend to be heavily cited.
  • The IF measures the average number of citations to articles in the journal -- given this, a small number of highly-cited articles will skew the figure.
  • It takes several years for new journals to be added to the list of titles indexed by the Web of Science/Web of Knowledge, so these newer titles will be under-represented.
  • It's alleged that journal editors have learned to "game" the system, encouraging authors to cite their works previously published in the same journal.
Comparing Journals Across Disciplines? Not a good idea! Using Impact Factors within a given discipline should only be done with great care, as described above. Using impact factor data to compare journals across disciplines is even more problematic. Here are some of the reasons:
  • Disciplines where older literature is still referenced, such as Chemistry and Mathematics, offer challenges to the methodolgy since older citations (older than two years) are not used to calculate the impact factor for a given journal. (Five-year impact factor analysis, which can be calculated using the Journal Citation Index database, helps smooth out this problem only to some degree.)
  • Different disciplines have different practices regarding tendency to cite larger numbers of references. Higher overall citation rates will bump upward impact factor measurements.
  • Where it's common for large numbers of authors to collaborate on a single paper, such as in Physics, the tendency of authors to cite themselves (and in this case, more authors) will result in increased citation rates.

Pros and Cons of the Impact Factor

Pros:

  • A vetted, established metric for measuring journal impact within a discipline.
  • Designed to eliminate bias based on journal size and frequency.
Cons:
  • Individual articles makes an uneven contribution to overall Impact Factor.
  • Impact Factor does not account for certain things, things like context (postive or negative citaion) and intentionality (self-citation).
  • The metric is proprietary to and bound by the contents of the Thomson Reuters database.
  • Citations, on which the Impact Factor is based, count for less than 1% of an article's overall use.

Criticism

Numerous critiques have been made regarding the use of impact factors. A 2007 study noted that the most fundamental flaw is that impact factors present the mean of data that are not normally distributed, and suggested that it would be more appropriate to present the median of these data. There is also a more general debate on the validity of the impact factor as a measure of journal importance and the effect of policies that editors may adopt to boost their impact factor (perhaps to the detriment of readers and writers). Other criticism focuses on the effect of the impact factor on behavior of scholars, editors and other stakeholders. Others have made more general criticisms, arguing that emphasis on impact factor results from negative influence of neoliberal policies on academia claiming that what is needed is not just replacement of the impact factor with more sophisticated metrics for science publications but also discussion on the social value of research assessment and the growing precariousness of scientific careers in higher education.
Experts stress that there are limitations in using impact factors to evaluate a scholar's work. There are many reasons cited for not relying on impact factor alone to evaluate the output of a particular individual. Among these are the following:

  • A single factor is not sufficient for evaluating an author's work.
  • Journal values are meaningless unless compared within the same discipline. Impact factors vary among disciplines.
  • The impact factor was originally devised to show the impact of a specific journal, not a specific scholar. The quality and impact of the author's work may extend beyond the impact of a particular journal.
According to Jim Testa, a researcher for ThomsonReuters Scientific, the most widespread misuse of the Impact Factor is to evaluate the work of an individual author (instead of a journal). "To say that because a researcher is publishing in a certain journal, he or she is more influential or deserves more credit is not necessarily true. There are many other variables to consider." (interview 6/26/2008 in Thomson Reuters blog entry)

Austrian Journal of Statistics
Journal Profile

About

The Austrian Journal of Statistics is an open-access journal (without any fees) with a long history and is published approximately quarterly by the Austrian Statistical Society. Its general objective is to promote and extend the use of statistical methods in all kind of theoretical and applied disciplines. The Austrian Journal of Statistics is indexed in many data bases, such as Scopus (by Elsevier), Web of Science - ESCI by Clarivate Analytics (formely Thompson & Reuters), DOAJ, Scimago, and many more. The current estimated impact factor (via Publish or Perish) is 0.775, see HERE, or even more indices HERE. Austrian Journal of Statistics ISNN number is 1026597X Original papers and review articles in English will be published in the Austrian Journal of Statistics if judged consistently with these general aims. All papers will be refereed. Special topics sections will appear from time to time. Each section will have as a theme a specialized area of statistical application, theory, or methodology. Technical notes or problems for considerations under Shorter Communications are also invited. A special section is reserved for book reviews. None

ISSN
-
ISSN

The ISSN of Austrian Journal of Statistics is - . An ISSN is an 8-digit code used to identify newspapers, journals, magazines and periodicals of all kinds and on all media–print and electronic.

ISSN (Online)
1026-597X
ISSN (Online)

The ISSN (Online) of Austrian Journal of Statistics is 1026-597X . An ISSN is an 8-digit code used to identify newspapers, journals, magazines and periodicals of all kinds and on all media–print and electronic.

Publisher
Austrian Society for Statistics
Publisher

Austrian Journal of Statistics is published by Austrian Society for Statistics .

Publication Frequency
Quarterly
Publication Frequency

Austrian Journal of Statistics publishes reports Quarterly .

Coverage
2014 - Present
Coverage

The Publication History of Austrian Journal of Statistics covers 2014 - Present .

Open Access
YES
Open Access

Publication Fees
Publication Fees

Language
German
Language

The language of Austrian Journal of Statistics is German .

Country/Region
Austria
Country/Region

The publisher of Austrian Journal of Statistics is Austrian Society for Statistics , which locates in Austria .

International Collaboration Trend

Austrian Journal of Statistics

Cited Documents Trend

Austrian Journal of Statistics

Total Publications
548
Total Citations
3268

Annual Publication Volume

Austrian Journal of Statistics

Annual Citation Record

Austrian Journal of Statistics

Publications Cites Dataset

Austrian Journal of Statistics

Year Publications Citations
Year Publications Citations
1999 0 1
2002 9 1
2003 9 5
2004 6 18
2005 3 29
2006 9 46
2007 2 94
2008 4 114
2009 0 142
2010 2 147
2011 5 162
2012 0 173
2013 0 296
2014 28 273
2015 18 261
2016 345 372
2017 23 248
2018 29 229
2019 20 276
2020 36 362
2021 0 19
Publications Cites Dataset

· The Austrian Journal of Statistics has published 0 reports and received 1 citations in 1999.
· The Austrian Journal of Statistics has published 9 reports and received 1 citations in 2002.
· The Austrian Journal of Statistics has published 9 reports and received 5 citations in 2003.
· The Austrian Journal of Statistics has published 6 reports and received 18 citations in 2004.
· The Austrian Journal of Statistics has published 3 reports and received 29 citations in 2005.
· The Austrian Journal of Statistics has published 9 reports and received 46 citations in 2006.
· The Austrian Journal of Statistics has published 2 reports and received 94 citations in 2007.
· The Austrian Journal of Statistics has published 4 reports and received 114 citations in 2008.
· The Austrian Journal of Statistics has published 0 reports and received 142 citations in 2009.
· The Austrian Journal of Statistics has published 2 reports and received 147 citations in 2010.
· The Austrian Journal of Statistics has published 5 reports and received 162 citations in 2011.
· The Austrian Journal of Statistics has published 0 reports and received 173 citations in 2012.
· The Austrian Journal of Statistics has published 0 reports and received 296 citations in 2013.
· The Austrian Journal of Statistics has published 28 reports and received 273 citations in 2014.
· The Austrian Journal of Statistics has published 18 reports and received 261 citations in 2015.
· The Austrian Journal of Statistics has published 345 reports and received 372 citations in 2016.
· The Austrian Journal of Statistics has published 23 reports and received 248 citations in 2017.
· The Austrian Journal of Statistics has published 29 reports and received 229 citations in 2018.
· The Austrian Journal of Statistics has published 20 reports and received 276 citations in 2019.
· The Austrian Journal of Statistics has published 36 reports and received 362 citations in 2020.
· The Austrian Journal of Statistics has published 0 reports and received 19 citations in 2021.
· The total publications of Austrian Journal of Statistics is 548.
· The total citations of Austrian Journal of Statistics is 3268.

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