Abstract. A study is described of the rank/JIF (Journal Impact Factor) distributions in the high-coverage Scopus database, using recent data and a three-year citation window. It includes a comparison with an older study of the Journal Citation Report categories and indicators, and a determination of the factors most influencing the distributions. While all the specific subject areas fit a negative logarithmic law fairly well, those with a greater External JIF have distributions with a more sharply defined peak and a longer tail—something like an iceberg.

Abstract.In recent years a number of studies have focused on Argentina’s 2001 economic crisis and its political, social, and institutional repercussions. To date, however, no studies have analyzed its effects upon the country’s scientific system from a scientometric perspective, in terms of resources dedicated to scientific activity and the final output and impact.

Abstract. A size-independent indicator of journals’ scientific prestige, the SCImago Journal Rank (SJR) indicator, is proposed that ranks scholarly journals based on citation weighting schemes and eigenvector centrality. It is designed for use with complex and heterogeneous citation networks such as Scopus. Its computation method is described, and the results of its implementation on the Scopus 2007 dataset is compared with those of an ad hoc Journal Impact Factor, JIF(3y), both generally and within specific scientific areas.

Abstract. The limitations of citation-based indicators include a lack of coverage, no normalization with respect to the length of reference lists (with a potential bias in favour of reviews), and different citation habits. As a consequence, the distributions of the indicators are not comparable across different disciplines.

Abstract. The present paper proposes a method for detecting, identifying and visualizing research groups. The data used refer to nine Carlos III University of Madrid departments, while the findings for the Communication Technologies Department illustrate the method. Structural analysis was used to generate co-authorship networks. Research groups were identified on the basis of factorial analysis of the raw data matrix and similarities in the choice of co-authors.

Abstract. This study introduces a new proposal to refine the classification of the SCImago Journal and Country Rank (SJR) platform by using clustering techniques and an alternative combination of citation measures from an initial 18,891 SJR journal network. Thus, a journal–journal matrix including simultaneously fractionalized values of direct citation, cocitation, and coupling was symmetrized by cosine similarity and later transformed into distances before performing clustering.

Abstract. Argentina´s patterns of publication in the humanities and social sciences were studied for the period 2003–2012, using the Scopus database and distinguishing the geographic realm of the research. The results indicate that “topics of national scope” have grown and gained international visibility.

Abstract. Cuban scientific output is analyzed for the period 2003–2011, in Scopus database. Based on a set of bibliometric indicators, we try to shed light on the evolution of the volume of scientific output in Cuban and foreign journals, and its distribution and visibility by quartiles. Also analyzed is the citation per document received, broken down by language of publication and type of collaboration.

Abstract. After reviewing the Kyoto Protocol rules for carbon sequestration accounting and the different carbon accounting methods proposed in the literature for forest management, for reforestation and, more recently, for avoided deforestation or degradation, we discuss possible carbon accounting rules for a post-Kyoto world. We then apply the results of this discussion to micro-applications in an Annex I country (Spain) and in a non-Annex I country (Tunisia), comparing avoided degradation with reforestation alternatives.

Abstract. This paper presents a choice experiment analyzing the consumers' preferences towards a policy for replacing conventional electricity with electricity generated from forest biomass. The results show that consumers specially prefer the effects related to the lower risk of forest fires and to the decrease in pressure on non-renewable resources. The article also presents a methodological test in relation to the payment timeframe and its effect on marginal willingness to pay and consistency of responses using choice experiments.