Austrian Journal of Statistics
Journal Impact IF  Analysis · Trend · Prediction · Ranking
Journal Impact IF
20192020
0.935
Journal Impact IF Trend
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Austrian Journal of Statistics
The 20192020 Journal Impact IF of Austrian Journal of Statistics is 0.935, which is just updated in 2020.
The highest Journal Impact IF of Austrian Journal of Statistics is 1.093.
The lowest Journal Impact IF of Austrian Journal of Statistics is 0.333.
The total growth rate of Austrian Journal of Statistics IF is 180.8%.
The annual growth rate of Austrian Journal of Statistics IF is 45.2%.
Journal Impact IF Ranking
Subcategory  Quartile  Rank  Percentile 

Statistics, Probability and Uncertainty  Q2  73/146 
Statistics, Probability and Uncertainty 50% 
Applied Mathematics  Q3  294/510 
Applied Mathematics 42% 
Statistics and Probability  Q2  111/227 
Statistics and Probability 51% 
· In the Statistics, Probability and Uncertainty research field, the Quartile of Austrian Journal of Statistics is Q2. Austrian Journal of Statistics has been ranked #73 over 146 related journals in the Statistics, Probability and Uncertainty research category. The ranking percentile of Austrian Journal of Statistics is around 50% in the field of Statistics, Probability and Uncertainty.
Austrian Journal of Statistics Key Factor Analysis
· In the Applied Mathematics research field, the Quartile of Austrian Journal of Statistics is Q3. Austrian Journal of Statistics has been ranked #294 over 510 related journals in the Applied Mathematics research category. The ranking percentile of Austrian Journal of Statistics is around 42% in the field of Applied Mathematics.
Austrian Journal of Statistics Key Factor Analysis
· In the Statistics and Probability research field, the Quartile of Austrian Journal of Statistics is Q2. Austrian Journal of Statistics has been ranked #111 over 227 related journals in the Statistics and Probability research category. The ranking percentile of Austrian Journal of Statistics is around 51% in the field of Statistics and Probability.
Austrian Journal of Statistics Key Factor Analysis
Austrian Journal of Statistics Impact Factor 20202021 Prediction
Austrian Journal of Statistics Impact Factor Prediction System is now online. You can start share your valuable insights with the community.
Annual Publication Volume
Annual Citation Record
International Collaboration Trend
Cited Documents Trend
Journal Impact IF History
Year  Journal Impact IF 

Year  Journal Impact IF 
20192020  0.935 
20182019  1.093 
20172018  0.625 
20162017  0.333 
20152016   
20142015   
20132014   
20122013   
20112012   
· The 20192020 Journal Impact IF of Austrian Journal of Statistics is 0.935
Austrian Journal of Statistics Key Factor Analysis
· The 20182019 Journal Impact IF of Austrian Journal of Statistics is 1.093
Austrian Journal of Statistics Key Factor Analysis
· The 20172018 Journal Impact IF of Austrian Journal of Statistics is 0.625
Austrian Journal of Statistics Key Factor Analysis
· The 20162017 Journal Impact IF of Austrian Journal of Statistics is 0.333
Austrian Journal of Statistics Key Factor Analysis
The Journal Impact IF 20152016 of Austrian Journal of Statistics is still under analysis. Stay Tuned!
Austrian Journal of Statistics Key Factor Analysis
The Journal Impact IF 20142015 of Austrian Journal of Statistics is still under analysis. Stay Tuned!
Austrian Journal of Statistics Key Factor Analysis
The Journal Impact IF 20132014 of Austrian Journal of Statistics is still under analysis. Stay Tuned!
Austrian Journal of Statistics Key Factor Analysis
The Journal Impact IF 20122013 of Austrian Journal of Statistics is still under analysis. Stay Tuned!
Austrian Journal of Statistics Key Factor Analysis
The Journal Impact IF 20112012 of Austrian Journal of Statistics is still under analysis. Stay Tuned!
Austrian Journal of Statistics Key Factor Analysis
Publications Cites Dataset
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 
· The Austrian Journal of Statistics has published 0 reports and received 1 citations in 1999.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 9 reports and received 1 citations in 2002.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 9 reports and received 5 citations in 2003.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 6 reports and received 18 citations in 2004.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 3 reports and received 29 citations in 2005.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 9 reports and received 46 citations in 2006.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 2 reports and received 94 citations in 2007.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 4 reports and received 114 citations in 2008.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 0 reports and received 142 citations in 2009.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 2 reports and received 147 citations in 2010.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 5 reports and received 162 citations in 2011.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 0 reports and received 173 citations in 2012.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 0 reports and received 296 citations in 2013.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 28 reports and received 273 citations in 2014.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 18 reports and received 261 citations in 2015.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 345 reports and received 372 citations in 2016.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 23 reports and received 248 citations in 2017.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 29 reports and received 229 citations in 2018.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 20 reports and received 276 citations in 2019.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 36 reports and received 362 citations in 2020.
Austrian Journal of Statistics Key Factor Analysis
· The Austrian Journal of Statistics has published 0 reports and received 19 citations in 2021.
Austrian Journal of Statistics Key Factor Analysis
· The total publications of Austrian Journal of Statistics is 548.
Austrian Journal of Statistics Key Factor Analysis
· The total citations of Austrian Journal of Statistics is 3268.
Austrian Journal of Statistics Key Factor Analysis
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.
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 (2020) by papers published in the Austrian Journal of Statistics during the two preceding years (20182019). Note that 2020 Impact Factor are reported in 2021; they cannot be calculated until all of the 2020 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 2year Impact Factor, the 3year Impact Factor, 4year Impact Factor, 5year Impact Factor, RealTime 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.
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.
 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 “noncitable 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.
 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.
 Selfciting may also skew results.
 Some resources used to calculate impact factors have inadequate international coverage.
 Editorial policies can artificially inflate an impact factor.
 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 highlycited 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 underrepresented.
 It's alleged that journal editors have learned to "game" the system, encouraging authors to cite their works previously published in the same journal.
 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. (Fiveyear 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.
 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 (selfcitation).
 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.
About
The Austrian Journal of Statistics is an openaccess 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 1026597XOriginal 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
Highly Cited Keywords
The ISSN of Austrian Journal of Statistics is

.
An ISSN is an 8digit code used to identify newspapers, journals, magazines and periodicals of all kinds and on all media–print and electronic.
Austrian Journal of Statistics Key Factor Analysis
The ISSN (Online) of Austrian Journal of Statistics is
1026597X
.
An ISSN is an 8digit code used to identify newspapers, journals, magazines and periodicals of all kinds and on all media–print and electronic.
Austrian Journal of Statistics Key Factor Analysis
Austrian Journal of Statistics is published by
Austrian Society for Statistics
.
Austrian Journal of Statistics Key Factor Analysis
Austrian Journal of Statistics publishes reports

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Austrian Journal of Statistics Key Factor Analysis
The Publication History of Austrian Journal of Statistics covers
20142019
.
Austrian Journal of Statistics Key Factor Analysis
Austrian Journal of Statistics is an Open Access (OA) Journal. Open Access stands for unrestricted access and unrestricted reuse. With Open Access, researchers can read and build on the findings of others without restriction. Much scientific and medical research is paid for with public funds. Open Access allows taxpayers to see the results of their investment.
Austrian Journal of Statistics Key Factor Analysis
Austrian Journal of Statistics is an Open Access (OA) Journal. Open Access stands for unrestricted access and unrestricted reuse. With Open Access, researchers can read and build on the findings of others without restriction. Open Access allows taxpayers to see the results of their investment. Please share or review the publication fee with the community.
Austrian Journal of Statistics Key Factor Analysis
The language of Austrian Journal of Statistics is

.
Austrian Journal of Statistics Key Factor Analysis
The publisher of Austrian Journal of Statistics is
Austrian Society for Statistics
,
which locates in
Austria
.
Austrian Journal of Statistics Key Factor Analysis
Selected Articles
Full Title  Authors 

Full Title  Authors 