Illuminating the Path: The Research and Development Agenda for Visual Analytics

By James J. Thomas, Kristin A. Cook. 2005

2,293 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e0d3ea6f33a2712b9f33707fd33443c1df354ecc

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Citations in the corpus

Collaborative visualization: Definition, challenges, and research agenda (2011, background): “Computersupported collaborative visualization in environmental planning provides decision-makers the ability to (1) distill knowledge through mining large multidimensional data sets, (2) run models and simulations to explore the consequences of particular actions, (3) communicate results, scenarios,”
Design Considerations for Collaborative Visual Analytics (2007, unknown): “Intelligence analysis provides examples of both cooperative and competitive models of work [47].”
Spatial data mining and geographic knowledge discovery - An introduction (2009, background): “Research efforts for the third challenge have emerged as an active subfield called visual analytics (Thomas & Cook, 2005).”
Mastering the Information Age - Solving Problems with Visual Analytics (2010, methodology): “Indeed, one of the recommendations from Illuminating the Path[111] was the creation of a new science of interaction to support visual analytics.”
Empirical Studies in Information Visualization: Seven Scenarios (2012, unknown): “Categories Refs”
State of the Art: Coordinated & Multiple Views in Exploratory Visualization (2007, background): “It is perhaps incredible, that after years of developing visualization solutions that the data preparation phase still takes a long time [71].”
Visual Analytics: Scope and Challenges (2008, background): “In general, visual analytics can be described as “the science of analytical reasoning facilitated by interactive visual interfaces” [1].”
Space, time and visual analytics (2010, unknown): “Visual analytics is a relatively new term; it is in use since 2005 when the book “Illuminating the Path” was published (Thomas and Cook 2005).”
Characterizing Users' Visual Analytic Activity for Insight Provenance (2008, background): “Also related are a number of visual analytic system that provide tools for preserving insight provenance, an important aspect of visual analytics [21, 25].”
Science Mapping: A Systematic Review of the Literature (2017, methodology): “…– a widely used software tool for visualizing biomolecular interaction networks (Shannon et al., 2003), the ground breaking work of visual analytics (Thomas & Cook, 2005), Many Eyes – the popular Web-based visualization platform (Viégas et al., 2007), and a framework of seven types of interaction…”
Interpretation and trust: designing model-driven visualizations for text analysis (2012, background): “A central goal of visual analytics research is to augment human cognition by devising new methods of coupling data modeling and interactive visualization [47].”
A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP) (2006, background): “For information on obtaining reprints of this article, please send e-mail to: tvcg@computer.org, and reference IEEECS Log Number TVCG-0187-1105. analytics [49] and draws upon research in several related domains.”