Due to the tremendous increase and variation in serial publications, faculties in university departments are finding it difficult to collect, generate and update their departmental core article ranked lists regularly and accurately. In addition, both students and researchers are finding it difficult to find and study the most significant papers for their departments or interested journals. Furthermore, editors want to trace and analyze the more highly cited articles published in their journals over different time spans. Therefore, the evaluation of a departmental and journal core article ranked list is an important task for faculties, students and editors. In this study, a Computer-Aided Paper Bibliometric System was implemented and four article citation ranking indicators (RCC, TCC, R/T PI and R/T CH) were proposed in order to generate a departmental and journal core article ranking list. These four indicators were designed to satisfy different audiences requirements. Four departments and ten journals were taken as samples, with a Department of Information Management and journal of MIS Quarterly as the major one. Several citation patterns were found. All Turning Points (TP) were located at the 4th segment (TP Site: 0.28) for all departments and journals by the TCC indicator. Through the RCC indicator, TPs from different departments or journals were classified into two types. The TP site of Type I was 0.07 and Type II was 0.14. Both RCC and TCC also have their own similar scatter charts. These patterns could be helpful in deciding the core article area or evaluating the experiment results. After comparing these four indicators via the Coefficient of Correlation, both RCC and TCC can obtain more than 0.5 and 0.9 correlation factors with their own extended indicators. The experimental results show that (TCC, TPI, TCH) and (RCC, RPI, RCH) were measured to be at an acceptable level.
|Keywords:||Computer-Aided Bibliometric System; departmental core article; journal core article; citation analysis; paper ranking|
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