A comparison of bibliometric indicators for evaluating the top 100 Open Access Journals

A comparative study was performed based on scientific metrics for the year 2019 for the top 100 open access journals (OAJ) extracted from the web of science. The considered bibliometric indicators are Journal Impact Factor (JIF), Eugene Factor Score (ES), Scimago Journal Ranking (SJR), Source Normalized Impact per Paper (SNIP), Cite Score (CS), Google Scholar (GS), and H5 index. This study shows that journals have different ranks compared with their metrics of the various scientific indicators. Correlations were explained by applying Pearson\u27s and spearman\u27s statistical correlation using SPSS software 21.0 packages. Spearman\u27s Pearson\u27s (r) statistical correlation was found between JIF and CS (r=0.898). Regarding spearman\u27s (ρ) statistical correlations, the highest correlations were established between JIF and CS (ρ=0.690). It concludes that researchers and institutions cannot rely on a single indicator to measure the impact. It showed a direct linear co-relationship between the indicators, which concludes that performance measurement will be more reliable and accurate when more indicators are used for this purpose