Analysis of Percentiles of Computer Science, Theory and Methods Journals CiteScore Versus Impact Factor

Okagbue, Hilary I.; Bishop, Shiela A.; Adamu, Muminu O.; Opanuga, A. A.; Obasi, Emmanuela C. M.

doi:10.14429/djlit.40.01.14866

Cited by 8 publications

(9 citation statements)

References 29 publications

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“…Furthermore, the IF is strongly and positively correlated with all tested indicators, especially the CiteScore, which is largely deemed consistent with most of the previous studies, as depicted in Table 8. The strong correlation with the CiteScore (R s = 0.952, R 2 = 0.906) is in agreement with the studies of Okagbue et al ., 2019; Okagbue et al ., 2020; Okagbue & Teixeira da Silva, 2020. Additionally, similar to the study of Brown and Gutman (2019), very strong positive correlations with CiteScore, ES, SNIP, and SJR are found.…”

Section: Discussionsupporting

confidence: 78%

“…Okagbue et al . (2020), covering only one specialty such as the this one, stated an acceptable interpretation of the difference in results from Villaseñor‐Almaraz et al . (2019)'s study of three specialties.…”

Section: Discussionmentioning

confidence: 86%

“…The higher mean of the CiteScore implies that the journals receive more citations in Scopus than in WoS. The reasons are Scopus indexes more journals than WoS, and Scopus' citable items include all types of articles, not only original and review articles as in the WoS (da Silva, 2020; Kianifar et al ., 2014; Okagbue et al ., 2020). In general, a significant number of LIS journals report scores that are lower than the indicators' average values calculated for the selected journals in this study, which is similar to the results of Okagbue et al .…”

Section: Discussionmentioning

confidence: 99%

“…In general, a significant number of LIS journals report scores that are lower than the indicators' average values calculated for the selected journals in this study, which is similar to the results of Okagbue et al . (2020) in computer science.…”

Section: Discussionmentioning

confidence: 99%

“…Studies in other fields have also been carried out to analyse the correlations between many indices, such as water resources (Ahmad, Sohail, & Abdel‐Magid, 2017), human resources management (Marin‐Garcia & Alfalla‐Luque, 2018), and computer science (Aliguliyev & Adigozalova, 2018). Two recent papers have focused on the relation between the IF and CiteScore in telecommunication and computer science (Okagbue, Adamu, Bishop, Obasi, & Akinola, 2019; Okagbue, Bishop, Adamu, Opanuga, & Obasi, 2020), both of which recorded a highly positive correlation between the two indicators.…”

Section: Literature Reviewmentioning

confidence: 99%

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Evaluating the correlation between different impact indicators for library and information science journals: Comparing the journal citation reports and scopus

Ali

2020

Learned Publishing

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Library and information science (LIS) scholars are increasingly aware of the ranking of LIS journals in the Journal Citation Reports (JCR) and Scopus when deciding where to publish, especially scholars who belong to universities that rely on these rankings when making hiring or promotion decisions. However, it is not known which index presents the most appropriate indicator for the LIS discipline and whether Scopus ranking is a possible alternative to the impact factor (IF). This study analysed the 2018 indicators for 58 LIS journals that are included in both Clarivate Analytics' JCR and Elsevier's Scopus databases. The bivariate correlations were calculated using the Spearman correlation coefficient. Then, to examine the interchangeability among the selected indicators, each pair of correlations was compared using Fisher's R to Z transformation formula. The results showed that all bivariate correlations are positive and strong. The highest correlations are between the Total Cites and Eigenfactor Score (ES) (Rs = 0.962, R2 = 0.925) and between the IF and CiteScore (Rs = 0.952, R2 = 0.906). There were 71 combinations with P‐value >0.05, showing that there is no significant difference between the bivariate correlation, indicating interchangeability between those pairs. The best indicator which can be used interchangeably with the IF is the CiteScore. It is evident that, to measure the scientific quality of LIS journals, all stakeholders should take into consideration the correlations among the various indicators. Furthermore, they can rely on the CiteScore as an adequate alternative to the IF.

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