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Showing papers by "Robert J. W. Tijssen published in 1990"


Journal ArticleDOI
TL;DR: A probablistic model is applied to a contingency table with cross‐citation frequency counts between scientific journals to derive an interjournal “influence” score which is compared with two other citation‐based disciplinary‐oriented methods for ranking journals in an application to a number of core journals in astronomy and astrophysics.
Abstract: A probabilistic model is applied to a contingency table with cross-citation frequency counts between scientific journals. The parameters of the applied quasi-symmetry model are considered to reflect size, visibility, centrality, and content-similarity of journals. The net citation balances, i.e., the differences between model-based expected citation frequencies and observed citation frequencies, are used to derive an interjournal «influence» score. The summed scores yield a measure of the overall influence which is compared with two other citation-based disciplinary-oriented methods for ranking journals in an application to a number of core journals in astronomy and astrophysics

13 citations


Journal ArticleDOI
TL;DR: It is argued that in order to obtain a more complete description of the common underly ing structure one requires the incorporation of more sources of bibliometric data, and discusses the statistical model INDSCAL that combines multiple sources.
Abstract: The last decades have seen an increasing utilization of graphical representations of aspects of science. These "maps" are mainly used to depict the underlying relational structures of publications, or publishing entities, within the science and technology system. To this end, the maps generally draw on only one source of bibliometric (i.e., literature-based quantita tive) data—mostly citations or keywords. These information items will necessarily descnbe only one facet of the (intellect ual and/or social) structure of science. We argue that in order to obtain a more complete description of the common underly ing structure one requires the incorporation of more sources of (bibliometric) data. We discuss the statistical model INDSCAL that combines multiple sources (e.g., citations, keywords, sub ject classificanon codes). This model yields an integrated multi-dimensional representation of the relational structure of a set of scientific entities common to all sources. The utility of INDSCAL is illustrated in...

10 citations