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Cómo citar este artículo/ Citation: Sanz-Casado, E.; García-Zorita, C.; Serrano-López, A. E.; Efraín-García, P.; De Filipo, D. (2013). Rankings nacionales elaborados a partir de múltiples indicadores frente a los de índices sintéticos. Revista Española de Documentación Científica, 36(3):e012. doi: http://dx.doi.org/10.3989/redc.2013.3.1.023Resumen: En este trabajo se analiza el interés de los rankings nacionales de universidades para visibilizar la actividad investigadora de estas instituciones en países no centrales. Para ello, en la primera parte de carácter metodológico, se presentan las características de los rankings nacionales que se muestran más adecuados para identificar y comparar las actividades de las instituciones de un mismo entorno. Se describen, además, las ventajas y limitaciones de la utilización de múltiples indicadores frente a indicadores sintéticos. En la segunda parte se presenta el Observatorio IUNE como una herramienta que ofrece información amplia y variada para el seguimiento de la actividad investigadora de las universidades españolas. Los datos obtenidos permiten conocer las características del sistema universitario español, así como posicionar a las instituciones en función de su actividad en 6 dimensiones diversas a partir de 42 indicadores distintos.Palabras clave: Rankings de universidades; actividad científica; Observatorio IUNE; indicadores. National Rankings based on multiple indicators versus synthetic indicesAbstract: This paper analyzes the interest of national rankings of universities in making visible the research activities of these institutions in non-core countries. To do this, the first part of methodology presents the characteristics of the national rankings that are more appropriate for identifying and comparing the activities of institutions of the same environment. It also describes the advantages and limitations of using multiple indicators as opposed to synthetic indicators. The second part presents the IUNE Observatory as a tool that provides comprehensive and diverse information for monitoring the research activity of Spanish universities. The data obtained allow us to identify the characteristics of the Spanish university system as well as to position the institutions according to their activities, into 6 different dimensions based on 42 different indicators.

Abstract:The paper reports the developments and citation patterns over three time periods of research on Renewable Energy generation and Wind Power 1995-2011 in EU, Spain, Germany and Denmark. Analyses are based Web of Science and incorporate journal articles as well as conference proceeding papers. Sxcientometric indicators include publication collaboration ratios, topplayer distribution as well as citedness and correspondence analyses of citing publications, relative citation impact, distributions of top-cited as well as topciting institutions and publication sources and cluster analysis of citing title terms to map knowledge export areas.Findings show an increase in citation impact for Renewable Energy and Wind Power research albeit hampered by scarcely cited conference papers. Although EU maintains its global top position in producing Renewable Energy and Wind Power research the developments of EU and German world shares as well as citation impact are negative during the most recent seven year period. During the same time the citation impact of Spain and Denmark increase and place both nations among the top-ranking countries in Wind Power research. Spain is the only EU country that increases its world production share from 2000. China is currently ranked three after EU and USA in research output, however with a very low citation impact. Spain, Denmark and Germany each demonstrates distinct collaboration patterns and publication source and citation distribution profiles. More than half the citations to EU Wind Power research are EU-self citations. An expected intensified EU collaboration in the Wind Energy field does not come about. The most productive research institutions in Denmark and Spain are also the most cited ones. 2

Purpose Study how economic parameters affect positions in the Academic Ranking of World Universities’ top 500 published by the Shanghai Jiao Tong University Graduate School of Education in countries/regions with listed higher education institutions. Design/methodology/approach The methodology used capitalises on the multi-variate characteristics of the data analysed. The multi-colinearity problem posed is solved by running principal components prior to regression analysis, using both classical (OLS) and robust (Huber and Tukey) methods. Findings Our results revealed that countries/regions with long ranking traditions are highly competitive. Findings also showed that some countries/regions such as Germany, United Kingdom, Canada, and Italy, had a larger number of universities in the top positions than predicted by the regression model. In contrast, for Japan, a country where social and economic performance is high, the number of ARWU universities projected by the model was much larger than the actual figure. In much the same vein, countries/regions that invest heavily in education, such as Japan and Denmark, had lower than expected results. Research limitations Using data from only one ranking is a limitation of this study, but the methodology used could be useful to other global rankings. Practical implications The results provide good insights for policy makers. They indicate the existence of a relationship between research output and the number of universities per million inhabitants. Countries/regions, which have historically prioritised higher education, exhibited highest values for indicators that compose the rankings methodology; furthermore, minimum increase in welfare indicators could exhibited significant rises in the presence of their universities on the rankings. Originality/value This study is well defined and the result answers important questions about characteristics of countries/regions and their higher education system.

European Research Council Grants (ERC) have become the most important vehicle for funding scientific research in the EU. Since their creation in 2007, they have provided funding for around 7,000 of the nearly 70,000 proposals for research projects submitted. With a success rate of about 11%, these Grants are highly competitive. Despite major advancement of women’s participation in research activity, women overall remain the minority in Science, Technology, Engineering and Mathematics (STEM disciplines). Against that backdrop, this article analyses men’s and women’s presence in ERC Grants. The gender balance in the ERC Grant, have been examined in three dimensions: Excellence Awarded; Scientific Leadership Position; and Time Series Evolution. The results show that female presence is lower than men as submitted (26% vs 74%), granted (22% vs 78%), expert panel members (28% vs 72%), and as a panel chair (26% vs 74%). State-space prediction of the future pattern of these grants shows that time has no clearly beneficial effect on women’s participation as applicants, granted, expert panel members or panel chairs, particularly in the area of Physics and Engineering.

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