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  • × author_ss:"Jiménez-Contreras, E."
  • × year_i:[2010 TO 2020}
  1. Pino-Díaz, J.; Jiménez-Contreras, E.; Ruíz-Baños, R.; Bailón-Moreno, R.: Strategic knowledge maps of the techno-scientific network (SK maps) (2012) 0.02 
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    Abstract
    Knowledge engineering and information mapping are two recent scientific disciplines in constant development where mathematics, linguistics, computer science, and information visualization converge. Their main focus is to discover and display new knowledge in large document databases. They have broad and innovative fields of application for strategic scouting in science and technology, knowledge management, business intelligence, and scientific and technological evaluation. This article presents a new method for mapping the strategic research network and illustrates its application to the strategic analysis of the knowledge domain "Spanish Research in Protected Areas for the Period 1981-2005." This strategic knowledge is displayed through a set of two-dimensional cartographic maps and three-dimensional images of two networks: the international network WoS_KWAJ (1981-2005) and the national network IEDCYT_KWAJ (1981-2005). These maps can be very useful in decision-making processes for science and technology policy.
  2. Torres-Salinas, D.; Robinson-García, N.; Jiménez-Contreras, E.; Herrera, F.; López-Cózar, E.D.: On the use of biplot analysis for multivariate bibliometric and scientific indicators (2013) 0.02 
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    Abstract
    Bibliometric mapping and visualization techniques represent one of the main pillars in the field of scientometrics. Traditionally, the main methodologies employed for representing data are multidimensional scaling, principal component analysis, or correspondence analysis. In this paper we aim to present a visualization methodology known as biplot analysis for representing bibliometric and science and technology indicators. A biplot is a graphical representation of multivariate data, where the elements of a data matrix are represented according to dots and vectors associated with the rows and columns of the matrix. In this paper, we explore the possibilities of applying biplot analysis in the research policy area. More specifically, we first describe and introduce the reader to this methodology and secondly, we analyze its strengths and weaknesses through 3 different case studies: countries, universities, and scientific fields. For this, we use a biplot analysis known as JK-biplot. Finally, we compare the biplot representation with other multivariate analysis techniques. We conclude that biplot analysis could be a useful technique in scientometrics when studying multivariate data, as well as an easy-to-read tool for research decision makers.
  3. Moneda Corrochano, M. de la; López-Huertas, M.J.; Jiménez-Contreras, E.: Spanish research in knowledge organization (2002-2010) (2013) 0.01 
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    Date
    22. 2.2013 12:10:07

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