Introduction and Overview

• Chen, C. (2010). Information Visualization , Wiley Interdisciplinary Review: Computational Statistics, 2(4)(July/August), 387-403.
Brief introductory overview of information visualization that presents the essential nature of the field in a comprehensive, yet accessible, manner.
• Shneiderman, B. (1996). The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations , IEEE Proceedings of Visual Languages, 336-343.
Among the first comprehensive accounts of the information visualization paradigm and provides a useful schema for types of visualization and interaction.
• Shneiderman, B. and Plaisant, C. (2010). Information Visualization (chapter 14, 537-562) in Designing the User Interface, 5th Ed., Pearson.
A longer and updated account expanding on the schema of the Shneiderman's 1996 paper that provides a number of illustrations and pointers to current work.
• Card, S.K., Mackinlay, J.D. and Shneiderman, B. (1999). "Using Vision to Think: Readings in Information Visualization", Morgan Kaufman.
Card et al.'s book provides a collection of seminal papers in information visualization. It has been made available as a "preview" (with the odd missing pages) through Google Books .
• Card et al.'s Information Visualization, Chapter 1 in "Using Vision to Think", 1-35.
Provides an overview of information visualization and its grounding in cognitive tasks.
• North, C. (2005). Information Visualization in Handbook of Human Factors and Ergonomics, 3rd Ed., G. Salvendy (Ed.), 1222-1246.
Provides a useful supplementary presentation of Card et al.'s account of the information visualization process, together with more recent examples of systems.
• Heer, J., Bostok, M., and Ogievetsky, V. (2010). A Tour through the Visualization Zoo , CACM, 53(6), 59-67.
Subtitled: A survey of powerful visualization techniques, from the obvious to the obscure.
• Card, S. K. and Mackinlay, J. (1997). The Structure of the Information Visualization Design Space, Proceedings IEEE Information Visualization, 92-99.
Provides a schema for characterizing visualizations that is a applied to various examples to illustrate the account of an information visualization design space.
• Chi, E. (2000). A Taxonomy of Visualization Techniques using the Data State Reference Model, Proceedings of IEEE Information Visualization, 69-75.
• Tory, M. and Moller, T. (2004). Rethinking Visualizations: A High-Level Taxonomy, Proceedings of IEEE Information Visualization, 151-158.
• Edward Tufte's web site and books
• The Visual Display of Quantitative Information, Graphics Press, 1983.
• Envisioning Information, Graphics Press, 1990.
• Visual Explanations, Graphics Press, 1997.
• Stephen Few's web site and books
• Show Me the Numbers, Analytics Press, 2004.
• Now You See It, Analytics Press, 2009.

History

• Friendly, M. (2008). A brief history of data visualization , In Handbook of Computational Statistics: Data Visualization, Chen, C., Hardle, W., and Unwin, A. (eds.), 15-56. Springer-Verlag.
• Friendly, Michael. DataVis.ca
  Includes Milestone Project, an interactive timeline of visualization, gallery, papers, etc.
• DeFanti, T.A., Brown, M.D., & McCormick, B.H. (1989). Visualization - Expanding Scientific and Engineering Research Opportunities . IEEE Computer, 22(8), 12-25.
This paper is a version of a 1987 NSF report that is often cited as the beginning of the widespread use of "visualization" to describe the computer graphic display of data, here, in the context of supercomputer generated data.

Visual Analytics

• Keim, D. et al. (2008). Visual Analytics: Definition, Process, and Challenges, In Kerren, A. et al. (Eds.): Information Visualization, LNCS 4950, 154-175.
• Heer, J. and Shneiderman, B. (2012). Interactive Dynamics for Visual Analysis, Communications of the ACM, 55(4), 45-54.

Resources

• Rosling, Hans (2010, upload). 200 Countries, 4 Minutes - The Joy of Statistics
  BBC video, highly produced example of information visualization.
• Stasko, John (Fall, 2013). CS 7450: Information Visualization, Georgia Tech University.
  Includes excellent ~400 item "subjective selection of a set of important papers in the field of information visualization " indexed by topic.
• Munzner, Tamara (Fall, 2012). CPSC 533C: Information Visualization, University of British Columbia.
• Borner, Katy (Spring, 2013). S637: Information Visualization, Indiana University.
• Myer, Miriah (Fall, 2013). CS-5/6630: Visualization, University of Utah.
• Agrawal, Maneesh (Fall, 2013). CS294: Visualization, University of California - Berkeley.
• Kaiser, Peter K. (2009). The Joy of Visual Perception.
• Krantz, John H. (2013). Psychological Tutorials and Demonstrations.
• Information Visualization MOOC (Spring, 2014).

• Healy, C. G. and Enns, J. T.(2011). Attention and Visual Memory in Visualization and Computer Graphics, TVCG.
  Provides a survey of visual attention and memory in the context of visualization.
  
  • Healy, C. G. Perception in Visualization  - web version of ideas in paper with preattentive processing, etc. illustrations
  • Healey, C. G., Booth, K. S., and Enns, J. T. (1993). Harnessing Preattentive Processes for Multivariate Data Visualization , Proceedings Graphic Interfaces.
  • Healey, C. G., Booth, K. and Enns, J. (1996). High-Speed Visual Estimation Using Preattentive Processing, ACM Transactions on Computer Human Interaction 3(2), 107-135
  Experiments in preattentive processing.
• Ware, C. (2012). "Information Visualization: Perception of Design", 3rd Ed., Morgan Kaufman.
  Available through Science Direct, with access typically provided by university libraries, e.g., for UTPA students, if connected to university network the link connects directly with the table of contents and pdf versions of chapters.
• Cleveland, W. S. and McGill, R. (1984). Graphical Perception: Theory, Experimentation and the Application to the Development of Graphical Models, J. Am. Stat. Assoc.,79(387), 531-554.
• Dix, A., Finlay, J. E., Abowd, G. D. & Beale, R. (2003). The Human in Dix et al, "Human-Computer Interaction", 3rd ed.
• Card, S. K., Moran, T. P., and Newell, A. (1986). The Model Human Processor: An Engineering Model of Human Performance in Boff et al. "Handbook of Perception and Human Performance", Vol. 2, 45-1 - 45-36. (reprint of Card et al., 1983).
• Kosslyn, S. M. (1989). Understanding Charts and Graphs, Applied Cognitive Psychology, 3, 185-226.

• Insleberg, A. (1997). Multidimensional Detective, Proceedings IEEE Visualization, 100-107.
• Feiner, S. and Beshers, C. (1990). Worlds within Worlds Metaphors for Exploring n-Dimensional Virtual Worlds, Proceedings ACM UIST, 100-107.
• Wegman, E. J. (1990). Hyperdimensional Data Analysis using Parallel Coordinates, Journal of the American Statistical Association, 664-675.

• Johnson, B. and Shneiderman, B. (1991). Treemaps: A Space-filling Approach to the Visualization of Hierarchical Information Structures, Proceedings IEEE Visualization, 284-291. (Reprinted in "Sparks of Innovation in Human-Computer Interaction", Shneiderman, B (ed.), 1993)
• Card, S. K. and Nation, D. (2002). Degree-of-Interest Trees: A Component of an Attention-Reactive User Interface, Proceeding of Advanced Visual Interface AVI2002, 231-245.

• visual complexity - web site indexing ~800 network visualization projects.
• Herman, I., Melancon, G. Marshall, M. S. (2000). Graph Visualization and Navigation in Information Visualization: A Survey. IEEE Transactions on Visualization and Computer Graphics, 6(1), 24-43.
• Schulz, H., & Schumann (2006). Visualizing Graphs - A Generalized View . Proceedings of IEEE Information Visualization.
• Munzner, T. (1998). Exploring Large Graphs in 3D Hyperbolic Space . Computer Graphics and Applications, 18(4), 18-23.
• Munzner, T. (1997). H3: Laying Out Large Directed Graphs in 3D Hyperbolic Space . IEEE Information Visualization.
• van Ham F., and Perer, A. (2009). Search, Show Context, Expand on Demand: Supporting Large Graph Exploration with Degree-of-Interest, IEEE TOVCG, 15(6), 953-960.
• Ware, C., Purchase, H., Colpoys, L., and McGill, M. (2002). Cognitive Measurements of Graph Aesthetics, Proceedings IEEE Symposium on Information Visualization, 59-66.
• T.J. Jankun-Kelly and Kwan-Liu Ma, "MoireGraphs: Radial Focus+context Visualization and Interaction for Graphcs with Visual Nodes", Proceedings of IEEE 2003 Symposium on Information Visualization, Seattle, WA, Oct. 2003, pp. 59-66.
• Pak Chung Wong, Harlan Foote, Patrick Mackey, George Chin, Heidi Sofia and Jim Thomas, "A dynamic multiscale magnifying tool for exploring large sparse graphs", Information Visualization, Vol. 7, No. 2, Summer 2008, pp. 105-117.
• Ka-Ping Yee, Danyel Fisher, Rachna Dhamija, and Marti Hearst, "Animated Exploration of Dynamic Graphs with Radial Layout", Proccedings of Information Visualization 2001, San Diego, CA, Oct. 2001, pp. 43-50.

Text and Document Collections

• Borner, K., Chen, C. & Boyack, K. (2003). Visualizing Knowledge Domains. In Cronin, B. (Ed.), Annual Review of Information Science & Technology, Vol. 37, Medford, NJ: Information Today, Inc./American Society for Information Science and Technology, 179-255.
• Paulovich, F. V. & Minghim, R. (2006). Text Map Explorer: a Tool to Create and Explore Document Maps. Proceeding of IEEE Information Visualization.
• Wise, J. A. et al. (1995). Visualizing the Non-Visual: Spatial Analysis and Interaction with Information from Text Documents, Proceedings of the Information Visualization '95 Conference, 51-58.
• Wise, J. A. (1999). The Ecological Approach to Text Visualization, Journal of the American Society for Information Science, 50(13), 1224-1233.
• Strobelt, H. et al. (2009). Document Cards: A Top Trumps Visualization for Documents, IEEE Transactions on Visualization and Computer Graphics, 15(6), 1145-1152.
• Wei, F. et al. et al. (2010). Tiara: A Visual Exploratory Text Analytic System, Proceedings of ACM SIGKDD, 153-162.
• Hearst, M. A. (1995). TileBars: Visualization of Term Distribution Information in Full Text Information Access, Proceedings of ACM SIGCHI, 59-66.
• Aris, A. and Shneiderman, B. (2007). Designing Semantic Substrates for Visual Network Exploration, Information Visualization, 1-20.
• Novak, J. D. and Canas, A. J. (2006). The Origins of the Concept Mapping Tool and the Continuing Evolution of the Tool, Information Visualization, 5(3), 175-184.
• Olsen, K. A., Korfhage, R. R., Sochats, K. M., Spring, M. B., and Williams, J. G. (1993). Visualization of a Document Collection: The VIBE System, Information Processing and Management, 29(1), 69-81.
• Rennison, E. (1994). Galaxy of News: An Approach to Visualizing and Understanding Expansive News Landscapes, Proceedings of ACM UIST.
• Thudt, A., Hinrichs, U., and Carpendale, S. (2012). The Bohemian Bookshelf: Supporting Serendipitous Book Discoveries through Information Visualization, Proceedings of ACM SIGCHI.
• van Ham, F., Wattenberg, M., and Viegas, F. B. (2009). Mapping Text with Phrase Nets, IEEE TVCG, 15(6), 1169-1176.

Focus + Context

• Cockburn, A., Karlson, A. & Bederson, B. B. (2008). A Review of Overview+Detail, Zooming, and Focus+Context Interfaces . ACM Computing Surveys, 41(1), 2:1-31.
• Furnas, G. (1986). Generalized Fisheye Views . CHI '86.
• Gazner, E. R., Koren, Y., & North, S. (2004). Topological Fisheye Views for Visualizing Large Graphs . IEEE Transactions on Visualization and Computer Graphics, 1-12.
• Keahey, T. A. & Robertson, E. L. (1996). Techniques for Non-Linear Magnification Transformations . Proceedings of IEEE Visualization '96.
• Keahey, T. A. (1998). The Generalized Detail-In-Context Problem . Proceedings of IEEE Visualization '98.

• Jigsaw web site
  Visual analytics system for document collections.
  • Stasko, J., Gorg, C., and Liu, Z. (2008). Jigsaw: Supporting Investigative Analysis through Interactive Visualization, Information Visualization, 7, 118-132.
  • Videos
• IN-SPIRES web site
  Visual document analysis and visual analytics system developed by Pacific Nothwest National Laboratory.
  • Medvick, P. and Calapristi, G. (2011). Finding Text Information in the Ocean of Documents, in Natural Resources Information Management Forum, 211-215.
  Overview of system in addition to current site information. Papers by Wise et al. in previous "Documents" section provide detail about some of the system's techniques.
• D3 – Data Driven Documents web site
  Javascript based library of visualization techniques and successor to Protovis.
  • Bostoc, M., Ogievetsky, V., and Heer, J. (2011). D3 Data Driven Documents , IEEE Transactions on Visualization and Computer Graphics, 17(2), 2301-2309.
  • Murray, S. (2013). Interactive Data Visualization for the Web , O'Reilly.
    Introduction to D3, javascript, and the various pieces needed to create visualizations with D3. Made availabe online free (for the time being) by O'Reilly.
  • Designer interview about D3 and Protovis
  • Video
  • Gallery
• Many Eyes web site
IBM site that allows various visualization techniques to be applied to an uploaded data set, and viewers can then comment.
• Viégas, F. B., Wattenberg, M., van Ham, F., Kriss, J., & McKeon, M. (2007). Many Eyes: A Site for Visualization at Internet Scale, IEEE Transactions of Visualization and Computer Graphics, 13(6), 1121-1128.
• prefuse web site
• Heer, J. M., Card, S. K., & Landay, J. A. (2005). prefuse: a Toolkit for Interactive Information Visualization, Proceedings of ACM CHI '05, 421-430.
• Heer's 2004 master's thesis providing background and detail
• Video
• Gallery
• JavaScript InfoVis Toolkit web site
  Wide range of techniques supported
• Tableau Public
  • Designer interview about Tableau
• Piccolo 2D
  2d graphs plus zoomable interface, also at Googe code site
• Processing
  Language often used for visual arts and visualization projects - web site provides exhibition of work.
  • Interview about Processing

Swarm Based Document Visualization, Clustering, and Retrieval