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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.

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.

With this Festschrift, we want to celebrate your 60 th birthday, to show our appreciation for you as colleague and friend, as well as mentor and teacher. We are many that have you to thank for a lot of what we are doing nowadays, something that is reflected not only in us wanting to present you with this volume, but also through the impact evident in the articles analyzing your work here.Happy 60 th Birthday!

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