Cobo, M.J.; López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F.: SciMAT: A new science mapping analysis software tool (2012)
0.01
0.011047398 = product of:
0.022094795 = sum of:
0.022094795 = product of:
0.04418959 = sum of:
0.04418959 = weight(_text_:b in 373) [ClassicSimilarity], result of:
0.04418959 = score(doc=373,freq=2.0), product of:
0.16126883 = queryWeight, product of:
3.542962 = idf(docFreq=3476, maxDocs=44218)
0.045518078 = queryNorm
0.27401197 = fieldWeight in 373, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.542962 = idf(docFreq=3476, maxDocs=44218)
0.0546875 = fieldNorm(doc=373)
0.5 = coord(1/2)
0.5 = coord(1/2)
- 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.
