Search (2 results, page 1 of 1)

  • × author_ss:"Cobo, M.J."
  • × theme_ss:"Informetrie"
  1. Cobo, M.J.; López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F.: Science mapping software tools : review, analysis, and cooperative study among tools (2011) 0.01
    0.013708099 = product of:
      0.054832395 = sum of:
        0.054832395 = product of:
          0.10966479 = sum of:
            0.10966479 = weight(_text_:software in 4486) [ClassicSimilarity], result of:
              0.10966479 = score(doc=4486,freq=6.0), product of:
                0.18056466 = queryWeight, product of:
                  3.9671519 = idf(docFreq=2274, maxDocs=44218)
                  0.045514934 = queryNorm
                0.6073436 = fieldWeight in 4486, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  3.9671519 = idf(docFreq=2274, maxDocs=44218)
                  0.0625 = fieldNorm(doc=4486)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    Science mapping aims to build bibliometric maps that describe how specific disciplines, scientific domains, or research fields are conceptually, intellectually, and socially structured. Different techniques and software tools have been proposed to carry out science mapping analysis. The aim of this article is to review, analyze, and compare some of these software tools, taking into account aspects such as the bibliometric techniques available and the different kinds of analysis.
  2. Cobo, M.J.; López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F.: SciMAT: A new science mapping analysis software tool (2012) 0.01
    0.011994586 = product of:
      0.047978345 = sum of:
        0.047978345 = product of:
          0.09595669 = sum of:
            0.09595669 = weight(_text_:software in 373) [ClassicSimilarity], result of:
              0.09595669 = score(doc=373,freq=6.0), product of:
                0.18056466 = queryWeight, product of:
                  3.9671519 = idf(docFreq=2274, maxDocs=44218)
                  0.045514934 = queryNorm
                0.53142565 = fieldWeight in 373, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  3.9671519 = idf(docFreq=2274, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=373)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    This article presents a new open-source software tool, SciMAT, which performs science mapping analysis within a longitudinal framework. It provides different modules that help the analyst to carry out all the steps of the science mapping workflow. In addition, SciMAT presents three key features that are remarkable in respect to other science mapping software tools: (a) a powerful preprocessing module to clean the raw bibliographical data, (b) the use of bibliometric measures to study the impact of each studied element, and (c) a wizard to configure the analysis.