Visualizing Bibliometric Networks

By Nees Jan van Eck, Ludo Waltman. 2014

2,464 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/5275a8400b8486f8ec1cc963563cd1892e75e425

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Citations in the corpus

Systematicity in Organizational Research Literature Reviews: A Framework and Assessment (2021, background): “At the same time, bibliometrics researchers have honed techniques that visualize citation patterns and demonstrate article centrality (e.g., van Eck & Waltman, 2014).”
Current Sustainable Trends of Using Waste Materials in Concrete—A Decade Review (2020, methodology): “WoS was selected as one of the most comprehensive databases and easily adoptable in a bibliometric assessment software [38,39].”
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).”
Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools (2018, methodology): “…VantagePoint, and VOSviewer—as candidates for further analysis based on three ources: a review paper on bibliometric mapping software tools (Cobo et al., 2011), an overview of bibliometric network isualization (van Eck & Waltman, 2014) and a recent review paper on bibliometric mapping (Chen, 2017).”
Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words (2016, background): “On the other hand, noun phrases have a high relevance score if they co-occur mainly with a limited set of other noun phrases (Van Eck & Waltman, 2014).”
Deep learning for healthcare applications based on physiological signals: A review (2018, methodology): “We have used the well-known VOSviewer 1 software to establish a co-occurrence network [55, 56].”