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  • Analysis on the Effectiveness of Citation Evaluation Methods in the Research Field Identification by Co-Citation Network

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] To investigate field-normalized reference influence indicators on the level of papers, the effectiveness of a citation evaluation method (Relative Citation Ratio, RCR) based on the research field identification by co-citation network is analyzed.[Method/process] In order to test the effectiveness of RCR in the evaluation of academic impact, the paper chose iCite, F1000, InCites, then took 739 604 articles as a sample, and analyzed the correlation among RCR, Category Normalized Citation Impact (CNCI) and journal impact factor (JIF) by the R language.[Result/conclusion] The paper shows that RCR strongly correlates with CNCI, and poorly correlates with journal impact factor, which indicate the similarities and differences between RCR and CNCI and confirm that it is a good practice for implementing San Francisco Declaration on Research Assessment and assessing research on its own merits rather than on the basis of the journal in which the research is published. It also turns out the inverse relationship of the correlation and the number of interdisciplinary subjects between RCR and journal impact factor in interdisciplinary science, and lower correlation between RCR and journal impact factor than in a single discipline, which appears the applicability and effectiveness of RCR in evaluating the influence of academic papers in interdisciplinary science. The paper concludes that RCR based on research field identification by co-citation network provides new solution for the evaluation of paper influence, especially for interdisciplinary research outputs.