CitNetExplorer: A new software tool for analyzing and visualizing citation networks

By Nees Jan van Eck, Ludo Waltman. J. Informetrics, 2014

649 citations recorded by the source corpus.

We present CitNetExplorer, a new software tool for analyzing and visualizing citation networks of scientific publications. CitNetExplorer can for instance be used to study the development of a research field, to delineate the literature on a research topic, and to support literature reviewing. We first introduce the main concepts that need to be understood when working with CitNetExplorer. We then demonstrate CitNetExplorer by using the tool to analyze the scientometric literature and the literature on community detection in networks. Finally, we discuss some technical details on the construction, visualization, and analysis of citation networks in CitNetExplorer.

Subfields: Artificial Intelligence, Molecular Biology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/87f862e234e594dab4e61dea7701a3abdffd89a5

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Citations in the corpus

INNOVATION IN THE PUBLIC SECTOR: A SYSTEMATIC REVIEW AND FUTURE RESEARCH AGENDA (2016, methodology): “In addition, we also used CitNetExplorer, a new software tool that has been developed for analysing and visualizing direct citation networks (Van Eck and Waltman 2014), to see if there were any underlying patterns in the antecedents included.”
Mapping graduate employability and career development in higher education research: a citation network analysis (2020, methodology): “For analysis, we used CitNetExplorer (https://www.citnetexplorer.nl/), an application that visualises direct citation networks and identifies topic clusters within them (van Eck and Waltman 2014; 2017).”
Some bibliometric procedures for analyzing and evaluating research fields (2017, positive): “Finally, we introduce three free science mapping software tools: CitNetExplorer [24], SciMAT [17] and VOSviewer [23].”
Citation-based clustering of publications using CitNetExplorer and VOSviewer (2017, methodology): “In the bibliometric literature, the most commonly used approaches to determine the relatedness of publications are based on either citation relations or word relations (for a more extensive discussion, see Van Eck & Waltman, 2014b).”