Search Results
Abstract
The objective of this study is to use a clustering algorithm based on journal cross-citation to validate and to improve the journal-based subject classification schemes. The cognitive structure based on the clustering is visualized by the journal cross-citation network and three kinds of representative journals in each cluster among the communication network have been detected and analyzed. As an existing reference system the 15-field subject classification by Glänzel and Schubert (Scientometrics 56:55–73, <cite>2003</cite>) has been compared with the clustering structure.
Abstract
This article presents a scientometric procedure which assists in the production of bibliometric indicators for conducting international comparisons about transdisciplinary research field. The procedure aims at the analysis of how a nomenclature in the field of the environment, established by public research administrators, translates into subsets of scientific journals. Relations between the nomenclature and scientific disciplines were obtained through analysis of reviews. The environmental field's structure has been analysed by using journal cross-citation data.
Abstract
To improve the quality of journals in Taiwan, the National Science Council (NSC) of the Republic of China evaluates journals in the fields of humanities and social sciences periodically. This paper describes the evaluation of 46 management journals conducted by the authors, as authorized by the NSC. Both a subjective approach, with judgments solicited from 345 experts, and an objective approach, with data collected on four indicators: journal cross citation, dissertation citation, authors’ scholastic reputation, and author diversity, were used to make a comprehensive evaluation. Performance in the four indicators were aggregated using weights which were most favourable to all journals, in a compromise sense, to produce the composite indices. The subjective evaluation reflects the general image, or reputation, of journals while the objective evaluation discloses blind spots which have been overlooked by experts. The results show that using either approach alone would have produced results which are misleading, which suggests that both approaches should be used. All of the editors of the journals being evaluated agreed that the evaluation was appropriate and the results are reasonable.
developed by Rafols and colleagues (Rafols et al. 2010 ; Rafols and Meyer 2010 ). The maps of science are based on journal cross citations, which are then aggregated to the level of the journal subject category or field. The nodes represent these fields
.09.003 . Zhang , L , Janssens , F , Liang , L , Glanzel , W 2010 Journal cross-citation analysis for validation and improvement of journal-based subject classification in bibliometric research . Scientometrics 82 3 687 – 706 10.1007/s11192
between SCs). To generate the s ij values, Loet Leydesdorff obtains the WOS journal-to-journal cross-citation matrix from Thomson Reuters. He applies a thesaurus that associates each journal to one or more WOS SCs to convert this to an SC
