SciMAT: A new science mapping analysis software tool

Authors:
M.J. Cobo;A.G. López-Herrera;E. Herrera-Viedma;F. Herrera
Affiliations:
Department of Computer Science and Artificial Intelligence, CITIC-UGR (Research Center on Information and Communications Technology), University of Granada, E-18071, Granada, Spain;Department of Computer Science and Artificial Intelligence, CITIC-UGR (Research Center on Information and Communications Technology), University of Granada, E-18071, Granada, Spain;Department of Computer Science and Artificial Intelligence, CITIC-UGR (Research Center on Information and Communications Technology), University of Granada, E-18071, Granada, Spain;Department of Computer Science and Artificial Intelligence, CITIC-UGR (Research Center on Information and Communications Technology), University of Granada, E-18071, Granada, Spain
Venue:
Journal of the American Society for Information Science and Technology
Year:
2012

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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. © 2012 Wiley Periodicals, Inc.