Journal of Scientometric Research, 2023, 12, 2, 254-263.
Published: September 2023
Type: Research Article
Atul Kumar1, Jaiprakash M Paliwal2, Vinaydeep Brar3, Mahesh Singh4, Prashant R Tambe Patil5, Shirish S Raibagkar6,*
1Dr. D. Y. Patil B-School, Pune, Maharashtra, INDIA.
2Symbiosis Center For Skill Development and Symbiosis International (Deemed University), Nagpur, Maharashtra, INDIA.
3S.N.G. Institute of Management and Research, Pune, Maharashtra, INDIA.
4Kebri Dehar University, Kebri Dehar, ETHIOPIA.
5Akole Taluka Education Society’s Technical Campus, Akole, Ahmednagar, Gujarat, INDIA.
6Institute of Cost Accountants of India, Kolkata, West Bengal, INDIA.
Over the last few years, CiteScore has emerged as a popular metric to measure the performance of Journals. In this paper, we analyze CiteScores of the top 400 Scopus-indexed journals of 2021 for years from 2011 to 2021. Some interesting observations emerged from the analysis. The average CiteScore of the top 400 journals doubled from 16.48 in 2011 to 31.83 in 2021. At the same time, the standard deviation has almost trebled from 13.53 in 2011 to 38.18 in 2021. The CiteScores also show sizable increases for skewness and kurtosis, implying major variations in the CiteScores of the journals for a year. Importantly, the previous year’s CiteScores strongly predict the next year’s scores. This has been observed consistently for the last ten years. The average Pearson correlation coefficient between the preceding and succeeding years’ CiteScores for the ten years is 0.98. We also show that it is easily possible for even people with just basic knowledge of computers to forecast the CiteScore. Researchers can predict CiteScores based on the past year’s CiteScores and decide better about publishing their current research in a journal with an idea about its likely CiteScore. Such a forecast can be useful to publishers, editorial staff, indexing services, university authorities, and funding agencies.
Keywords: CiteScore, Scopus, Journals, Research, Pearsons’s correlation coefficient, Forecast.