7 resultados para citation analyses

em Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España


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[EN]This essay reviews both the scholarly output and impact factor of Spanish research institutions in the Arts & Humanities Citation Index (A&HCI) database, managed by the Thomson-Reuters Web of Science. Based on a bibliometric analysis of a range of variables it has been possible to identify those institutions with the best performance indicators, the journals publishing the most articles, the most productive areas of research, and other relevant data on publishing patterns in the Humanities. The study reveals that the most productive Spanish institutions in the Humanities are the same as those that lead the performance figures in other areas; it also highlights the outstanding production of the Spanish National Research Council (CSIC).

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[EN] The citation potential is a measure of the probability of being cited. Obviously, it is different among fields of science because of systematic differences in publication and citation behaviour across disciplines. In the past, the citation potential was studied at journal level considering the average number of references in established groups of journals. In this paper, some characterizations of the author’s scientific research through three different research dimensions are proposed: production (journal papers), impact (journal citations), and reference (bibliographical sources). An empirical application, in a set of 120 randomly selected authors in four subject areas, shows that the ratio between production and impact dimensions is a normalized measure of the citation potential at the level of individual authors.

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[EN]Qualitative and quantitative research approaches are often considered as incompatible, and when they are brought together in a study, the analyses often stay within the realm of the same research field. The study at hand aims at combining the two methods from the perspectives of different disciplines and tries to determine to which degree a corpus-based analysis might support the traditional content-focused approach to qualitative data and render additional results.