Victor Herrero Solana

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This study proposes a new methodology that allows for the generation of scientograms of major scientific domains, constructed on the basis of cocitation of ISI categories, and pruned using Pathfinder Network, with a layout determined by algorithms of the spring-embedder type (Kamada-Kawai), then corroborated structurally by Factor analysis. We present the(More)
Latin-American scientific achievement is generally under-represented in databases for a number of reasons pointed out in our study. In this paper we analyze Latin-American scientific production in terms of input (resources) and output (publications). The indicators used were: Gross Domestic Product (GDP), economically active population (EAP), percentage of(More)
The classi®cation of documents from a bibliographic database is a task that is linked to processes of information retrieval based on partial matching. A method is described of vectorizing reference documents from LISA which permits their topological organization using Kohonen's algorithm. As an example a map is generated of 202 documents from LISA, and an(More)
Our aim is to compare the coverage of the Scopus database with that of Ulrich, to determine just how homogenous it is in the academic world. The variables taken into account were subject distribution, geographical distribution, distribution by publishers and the language of publication. The analysis of the coverage of a product of this nature should be done(More)
Purpose – To propose a categorization of the different conflation procedures at the two basic approaches, non-linguistic and linguistic techniques, and to justify the application of normalization methods within the framework of linguistic techniques. Design/methodology/approach – Presents a range of term conflation methods, that can be used in information(More)
We propose the use of ISI-JCR categories as units of cocitation and measurement for the construction of heliocentric maps. The use of a spatial metaphor allows us to illustrate, analyze and compare domains in terms of the categories and their interconnections or links. We can also move around within the structure of these domains for further analysis, and(More)
12 We compared the application of different algorithms to document clustering. The 13 algorithms studied were Fuzzy C-Means, Fuzzy ART, Fuzzy ART for Fuzzy Clusters, 14 Fuzzy Max-Min, and the Kohonen neural network (only the first is not a neural net15 work). We generated a testbed from LISA, using some of the descriptors corresponding 16 to the different(More)