Information Visualization: Beyond the Horizon

By Chaomei Chen. 2006

397 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a5934b44763a9c3d4906e9ce0d118f31f51fac41

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Citations in the corpus

Bibliometric Mapping of the Computational Intelligence Field (2007, background): “The coloring of a concept density map is based on concept densities calculated using (7).”
Evidence for the network perspective on organizational learning (2008, background): “These values are very advantageous for large network pruning (Chen, 2004).”
Informetrics at the beginning of the 21st century - A review (2008, background): “One of the examples (Chen, 2004a) is the visualization of the scientific revolutions in the field of “string theory” (Chen & Kuljis, 2003).”
Bibliometrics to webometrics (2008, methodology): “Chaomei Chen’s CiteSpace 9 software focuses exclusively on bibliometric analysis and can produce beautiful three dimensional visualisations of citation networks.”
Big data, bigger dilemmas: A critical review (2015, methodology): “…a visualization to be rendered from a data set, those data must be translated into some visual form—that is, what is called “the principled mapping of data variables to visual features such as position, size, shape, and color” (Heer et al., 2010, p. 67; cf. Börner, 2007; Chen, 2006; Ware, 2013).”
Mastering the Information Age - Solving Problems with Visual Analytics (2010, unknown): “With improvements in graphical user interfaces and interaction devices, a research community devoted their efforts to information visualisation[25, 27, 104, 122].”
Overview of the Health Informatics Research Field: A Bibliometric Approach (2010, background): “One attractive feature of visualization-based tools is that their visual representations are often interactive and so are directly responsive to analysts’ needs [17].”
Visual Analysis of Nonlinear Dynamical Systems: Chaos, Fractals, Self-Similarity and the Limits of Prediction (2016, background): “Information visualization helps analysts detect and examine hidden structure in complex datasets [30].”