The citation impact factor: Another dubious index of journal quality.

1982 ◽  
Vol 37 (8) ◽  
pp. 975-977 ◽  
Author(s):  
Myron Boor
Keyword(s):  
Impact Factor ◽  
Citation Impact ◽  
Journal Quality

Journal impact factor: A valid symbol of journal quality?

2019 ◽  
Vol 26 (5) ◽  
pp. 734-742
Author(s):  
Rob Law ◽  
Daniel Leung
Keyword(s):  
Impact Factor ◽  
Journal Impact Factor ◽  
Impact Factors ◽  
Citation Data ◽  
Journal Quality ◽  
Citation Frequency ◽  
Journal Impact

As the citation frequency of a journal is a representation of how many people have read and acknowledged their works, academia generally shares the notion that impact factor and citation data signify the quality and importance of a journal to the discipline. Although this notion is well-entrenched, is it reasonable to deduce that a journal is not of good quality due to its lower impact factor? Do journal impact factors truly symbolize the quality of a journal? What must be noted when we interpret journal impact factors? This commentary article discusses these questions and their answers thoroughly.

scholarly journals WHAT DO EXPERTS KNOW ABOUT FORECASTING JOURNAL QUALITY? A COMPARISON WITH ISI RESEARCH IMPACT IN FINANCE

2013 ◽  
Vol 08 (01) ◽  
pp. 1350005 ◽  
Author(s):  
CHIA-LIN CHANG ◽  
MICHAEL MCALEER
Keyword(s):  
Impact Factor ◽  
Research Impact ◽  
Harmonic Mean ◽  
Research Assessment ◽  
Journal Quality ◽  
Approval Ratings ◽  
Thomson Reuters ◽  
Journal Impact ◽  
Highly Cited ◽  
Article Influence

Experts possess knowledge and information that are not publicly available. The paper is concerned with forecasting academic journal quality and research impact using a survey of international experts from a national project on ranking academic finance journals in Taiwan. A comparison is made with publicly available bibliometric data, namely the Thomson Reuters ISI Web of Science citations database (hereafter ISI) for the Business–Finance (hereafter Finance) category. The paper analyses the leading international journals in Finance using expert scores and quantifiable Research Assessment Measures (RAMs), and highlights the similarities and differences in the expert scores and alternative RAMs, where the RAMs are based on alternative transformations of citations taken from the ISI database. Alternative RAMs may be calculated annually or updated daily to answer the perennial questions as to When, Where and How (frequently) published papers are cited (see Chang et al., 2011a,b,c). The RAMs include the most widely used RAM, namely the classic 2-year impact factor including journal self citations (2YIF), 2-year impact factor excluding journal self citations (2YIF*), 5-year impact factor including journal self citations (5YIF), Immediacy (or zero-year impact factor (0YIF)), Eigenfactor, Article Influence, C3PO (Citation Performance per Paper Online), h-index, PI-BETA (Papers Ignored — By even the Authors), 2-year Self-citation Threshold Approval Ratings (2Y-STAR), Historical Self-citation Threshold Approval Ratings (H-STAR), Impact Factor Inflation (IFI), and Cited Article Influence (CAI). As data are not available for 5YIF, Article Influence and CAI for 13 of the leading 34 journals considered, 10 RAMs are analysed for 21 highly-cited journals in Finance. The harmonic mean of the ranks of the 10 RAMs for the 34 highly-cited journals are also presented. It is shown that emphasizing the 2-year impact factor of a journal, which partly answers the question as to When published papers are cited, to the exclusion of other informative RAMs, which answer Where and How (frequently) published papers are cited, can lead to a distorted evaluation of journal impact and influence relative to the Harmonic Mean rankings. A linear regression model is used to forecast expert scores on the basis of RAMs that capture journal impact, journal policy, the number of high quality papers, and quantitative information about a journal. The robustness of the rankings is also analyzed.

Predicting Long-Term Citation Impact of Articles in Social and Personality Psychology

2010 ◽  
Vol 106 (3) ◽  
pp. 891-900 ◽  
Author(s):  
Nick Haslam ◽  
Peter Koval
Keyword(s):  
Impact Factor ◽  
Citation Impact ◽  
The United States ◽  
Personality Psychology ◽  
The United Kingdom ◽  
Number Of Citations ◽  
The Impact ◽  
Journal Impact ◽  
Citation Advantage

The citation impact of a comprehensive sample of articles published in social and personality psychology journals in 1998 was evaluated. Potential predictors of the 10-yr. citation impact of 1,580 articles from 37 journals were investigated, including number of authors, number of references, journal impact factor, author nationality, and article length, using linear regression. The impact factor of the journal in which articles appeared was the primary predictor of the citations that they accrued, accounting for 30% of the total variance. Articles with greater length, more references, and more authors were cited relatively often, although the citation advantage of longer articles was not proportionate to their length. A citation advantage was also enjoyed by authors from the United States of America, Canada, and the United Kingdom. 37% of the variance in the total number of citations was accounted for by the study variables.

scholarly journals Letter from the Editor

2016 ◽  
Vol 12 (3) ◽  
pp. 421-423
Keyword(s):  
Impact Factor ◽  
Citation Impact ◽  
Factor Scores ◽  
Thomson Reuters ◽  
Journal Citation

The 2015 Thomson-Reuters Journal Citation Impact Factor Scores were released in June. I am very pleased to share that the MOR 2-year Impact Factor increased to 2.738 from 2.442 in 2014 and that the MOR 5-year Impact Factor also increased from 3.078 to 3.657. I was especially pleased to note that the increase in Impact Factor from 2014 to 2015 was entirely due to a significant increase in citations. Although MOR's position in the Management category dropped by one place – it should be noted that the overall number of journals listed in the Management category increased from 185 to 192. I feel that a position of 33rd is still excellent for a young, specialized field journal in its twelfth year of publication.

scholarly journals Assessing Journal Quality in Mathematics Education

2017 ◽  
Vol 48 (4) ◽  
pp. 348-368 ◽  
Author(s):  
Ryan Andrew Nivens ◽  
Samuel Otten
Keyword(s):  
Mathematics Education ◽  
Impact Factor ◽  
Google Scholar ◽  
Journal Quality ◽  
Education Community ◽  
Scimago Journal Rank ◽  
The Web

In this Research Commentary, we describe 3 journal metrics–the Web of Science's Impact Factor, Scopus's SCImago Journal Rank, and Google Scholar Metrics' h5-index—and compile the rankings (if they exist) for 69 mathematics education journals. We then discuss 2 paths that the mathematics education community should consider with regard to these citation-based metrics of journal quality: either working within the system to enhance our positioning or resisting or modifying the system itself.

R-Impact: Reliability-Based Citation Impact Factor

2007 ◽  
Vol 56 (3) ◽  
pp. 366-367 ◽  
Author(s):  
Way Kuo ◽  
Jason Rupe
Keyword(s):  
Impact Factor ◽  
Citation Impact ◽  
Impact Reliability

scholarly journals A critical study and analysis of journal metric “CiteScore”, cluster and regression analysis

2018 ◽  
Vol 7 (2.7) ◽  
pp. 28 ◽  
Author(s):  
K Varada Rajkumar ◽  
Yesubabu Adimulam ◽  
K Subrahmanyam
Keyword(s):  
Impact Factor ◽  
Citation Impact ◽  
Critical Study ◽  
Citation Data ◽  
Research Papers ◽  
Book Series ◽  
Regression Algorithms ◽  
Data Points ◽  
Scimago Journal Rank

In previous days the quality of journal is measured based on many metrics such as impact factor; SNIP(Source Normalized Impact Per paper),SJR( SCImago Journal Rank) and IPP(Impact Per Publication). It is very hard to find that the research papers to be published in which journal? CiteScore is a better way of measuring the citation impact of sources such as journals. CiteScore is a metrics product for journal from elsevier, using the citation data from the scopusdatabase to rank journals. CiteScore metrics is a comprehensive current and free metrics for source titles in scopus. Apart from Impact factor, CiteScore is becoming increasingly important in the context of evaluating metrics for all journals. CiteScore metrics are available for 37956 titles in scopus. It is not limited to journals as also conference proceedings, trade, publications and book series. The metrics are available 6 years period from 2011 to 2016. For a subset of CiteScore dataset clustering and regression algorithms can be implemented to study the data points that lie equally distant from one another.

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