Knowledge Management
Ali Biranvand; Maryam Golshani; Faeze Delghandi
Abstract
IntroductionAuthors often publish scientific articles in reputable journals to achieve a good professional status and recognition. One of the methods of identifying reputable journals is to examine the ranking indicators that are used by publishing houses. This study aims to identify the impact of SJR, ...
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IntroductionAuthors often publish scientific articles in reputable journals to achieve a good professional status and recognition. One of the methods of identifying reputable journals is to examine the ranking indicators that are used by publishing houses. This study aims to identify the impact of SJR, SNIP, and Citescore on the number of citations received in Semantic Web publications. It examines the status of Semantic Web scientific productions in Scopus, the relationship between SJR, SNIP, and Citescore, and the number of citations received. The results of this study help authors identify factors that affect the increase in the number of citations received in Scopus, and examine the current status of Semantic Web publications for submitting their research results. Literature ReviewRahman et al. (2024) studied a range of bibliometric indicators including impact factor, special factor score, citation score, and H-index of 105 healthcare services and science journals from Scopus and Web of Science databases and acknowledged that there is a strong statistical correlation between JIF and Citescore as well as between JIF and SJR. While there is a moderate correlation between JIF and SNIP. Elmi, Mohammad and Bari (2024) while pointing out the impact of journal scientometric analyses on drawing the landscape of knowledge areas, believe that journals with Citescore, SNIP, SJR rankings are key platforms for publishing influential research and play a significant role in shaping the scientific path of journals and knowledge areas. MethodologyThe present study is a fundamental type that was conducted in a descriptive manner and with a scientometric approach. The statistical population of this study includes 42,270 documents produced in the field of semantic web that were published by journals indexed in the Scopus database in the period 1960-2021. After an initial review, 10 titles of high-production journals in the field of semantic web that published 15,182 titles of scientific productions in this field were selected as a statistical sample. In order to examine the relationships between the research variables, Pearson correlation coefficient test and multiple linear regression were used with the help of Excel and SPSS software. ResultsRetrieving information related to scientific productions in the field of semantic web from the Scopus database showed that in the period 1960-2021, 42,270 records were indexed in this database. 29,189 titles (69%) were conference papers. This number of scientific productions has been cited 267,384 times so far. The trend of scientific productions in the field of semantic web has been almost uniform from 1970 (the time of indexing the first record) to 2000. The number of citations received in this period was 267,384. The largest number of productions (3,304 titles) was in 2010. The largest number of citations received (13,446 citations) was related to the article titled "Fully convolutional networks for semantic segmentation" in 2015. Lecture Notes in Computer Science (LNCS) published 471,217 articles during the study period, of which 7,418 were in the semantic web field. "Lecture Notes in Computer Science" has the highest number of publications (7,418 records), equivalent to 17.5% of all publications in the semantic web field. This source is also ranked first in terms of the total number of publications from different fields. In terms of Site Score, "Journal Of Web Semantics" has the highest score (1.9). This score is the average of the Site Score scores of the last 10 years of this journal. Given that the Citescore is the result of dividing the number of citations by the number of documents published in a three-year period, in this respect the journal has the best performance compared to other journals studied. Among the 10 selected journals, the Journal of Web Semantics has the highest Site Score (9.1) and the highest SJR score (8.1). The highest SNIP score (12.6) is assigned to the Journal of Web Semantics. According to (r=.860; p=.812), there is no correlation between the number of citations and the SNIP index. There is also no significant relationship between the number of citations and SJR (r=.580; p=.874) and the number of citations and Site Score (r=.480; p=.896). The results of multiple regression showed that none of the three Site Score, SNIP, and SJR indices can predict the number of citations received in the Scopus database. DiscussionExamining the relationship between Citescore, SJR, and SNIP indicators shows that there are positive and significant relationships between these indicators in the scientific productions of the semantic web. These indicators are affected by the number of citations and there is a very high correlation between them. However, there is no significant relationship between these indicators and the total number of citations received in the semantic web in the publications under study. The significance level obtained from the variance test between the indicators under study and the number of citations received in the Scopus database indicates the absence of a significant relationship in this case. On the other hand, the regression coefficients and the significance level obtained from running the model also indicate the inability to predict the number of citations received through the desired indicators. In other words, none of the Citescore, SJR, and SNIP indicators are able to predict the number of citations received in the scientific productions of the semantic web. ConclusionThe lack of a significant relationship between Citescore, SNIP, and SJR indices and the number of citations received by high-producing Semantic Web publications indicates the insignificant share of the number of citations received from Semantic Web publications compared to the total number of citations received by these publications.
