Publication statistics

Pub. period:1990-2005
Pub. count:23
Number of co-authors:20



Co-authors

Number of publications with 3 favourite co-authors:

Nahum D. Gershon:4
Thomas Ball:2
Mei C. Chuah:2

 

 

Productive colleagues

Stephen G. Eick's 3 most productive colleagues in number of publications:

Stuart K. Card:75
Nahum D. Gershon:14
Mei C. Chuah:9
 
 
 

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Stephen G. Eick

 

Publications by Stephen G. Eick (bibliography)

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2005
 
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Eick, Stephen G. (2005): Information Visualization at 10. In IEEE Computer Graphics and Applications, 25 (1) pp. 12-14. Available online

2004
 
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Cluxton, Diane, Eick, Stephen G. and Yun, Jie (2004): Hypothesis Visualization. In: InfoVis 2004 - 10th IEEE Symposium on Information Visualization 10-12 October, 2004, Austin, TX, USA. . Available online

 
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Krishnaswamy, Parthasarathy, Eick, Stephen G. and Grossman, Robert L. (2004): Visual Browsing of Remote and Distributed Data. In: InfoVis 2004 - 10th IEEE Symposium on Information Visualization 10-12 October, 2004, Austin, TX, USA. . Available online

2002
 
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Keahey, Alan and Eick, Stephen G. (2002): Visual Path Analysis. In: InfoVis 2002 - 2002 IEEE Symposium on Information Visualization 27 October - 1 November, 2002, Boston, MA, USA. pp. 165-. Available online

2001
 
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Eick, Stephen G. (2001): Visualizing online activity. In Communications of the ACM, 44 (8) pp. 45-50. Available online

1998
 
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Gershon, Nahum, Eick, Stephen G. and Card, Stuart K. (1998): Design: Information Visualization. In Interactions, 5 (2) pp. 9-15. Available online

 
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Eick, Stephen G. (1998): A Visualization Tool for Y2K. In IEEE Computer, 31 (10) pp. 63-69.

 
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Gershon, Nahum D. and Eick, Stephen G. (1998): Guest Editors' Introduction: Scaling to New Heights. In IEEE Computer Graphics and Applications, 18 (4) pp. 16-17. Available online

 
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Chuah, Mei C. and Eick, Stephen G. (1998): Information Rich Glyphs for Software Management Data. In IEEE Computer Graphics and Applications, 18 (4) pp. 24-29. Available online

1997
 
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Chuah, Mei C. and Eick, Stephen G. (1997): Managing Software with New Visual Representations. In: InfoVis 1997 - IEEE Symposium on Information Visualization October 18-25, 1997, Phoenix, AZ, USA. pp. 30-37. Available online

 
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Gershon, Nahum D. and Eick, Stephen G. (1997): Information Visualization. In IEEE Computer Graphics and Applications, 17 (4) pp. 29-31. Available online

 
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Gershon, Nahum D. and Eick, Stephen G. (1997): Information Visualization Applications in the Real World. In IEEE Computer Graphics and Applications, 17 (4) p. 66. Available online

1996
 
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Ball, Thomas and Eick, Stephen G. (1996): Software Visualization in the Large. In IEEE Computer, 29 (4) pp. 33-43.

1995
 
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Gershon, Nahum D. and Eick, Stephen G. (eds.) InfoVis 1995 - IEEE Symposium On Information Visualization 30-31 October, 1995, Atlanta, Georgia, USA.

 
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Cox, Kenneth C. and Eick, Stephen G. (1995): Case study: 3D displays of Internet traffic. In: Gershon, Nahum D. and Eick, Stephen G. (eds.) InfoVis 1995 - IEEE Symposium On Information Visualization 30-31 October, 1995, Atlanta, Georgia, USA. pp. 129-132. Available online

 
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Baker, Marla J. and Eick, Stephen G. (1995): Space-filling Software Visualization. In J. Vis. Lang. Comput., 6 (2) pp. 119-133.

1994
 
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Eick, Stephen G. (1994): Data Visualization Sliders. In: Szekely, Pedro (ed.) Proceedings of the 7th annual ACM symposium on User interface software and technology November 02 - 04, 1994, Marina del Rey, California, United States. pp. 119-120. Available online

Computer sliders are a generic user input mechanism for specifying a numeric value from a range. For data visualization, the effectiveness of sliders may be increased by using the space inside the slider as * an interactive color scale, * a barplot for discrete data, and * a density plot for continuous data. The idea is to show the selected values in relation to the data and its distribution. Furthermore, the selection mechanism may be generalized using a painting metaphor to specify arbitrary, disconnected intervals while maintaining an intuitive user-interface.

© All rights reserved Eick and/or ACM Press

 
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Ball, Thomas and Eick, Stephen G. (1994): Visualizing Program Slices. In: VL 1994 1994. pp. 288-295.

 
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Eick, Stephen G., Nelson, Michael C. and Schmidt, Jeffrey D. (1994): Graphical Analysis of Computer Log Files. In Communications of the ACM, 37 (12) pp. 50-56.

1993
 
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Stephens, Jon and Eick, Stephen G. (1993): High Interaction Data Visualization Using Seesoft to Visualize Program Change History. In: Ashlund, Stacey, Mullet, Kevin, Henderson, Austin, Hollnagel, Erik and White, Ted (eds.) Proceedings of the ACM CHI 93 Human Factors in Computing Systems Conference April 24-29, 1993, Amsterdam, The Netherlands. p. 517. Available online

A problem in developing large software systems is understanding the source code. This problem is difficult because of the volume of code. The listing for a moderately sized system with 100,000 lines, printed 50 lines per page, would run 2,000 pages. This video shows a new software tool, Seesoft, that applies scientific visualization techniques to visualizing code. The visualization approach is to represent files in a directory in columns and the source code lines as rows of colored pixels. The indentation and length of each row of pixels corresponds to the actual code. The color of each row of pixels is determined by a statistic such as the age, programmer, or type of line, that we obtain from the change management system. The visual impression is that of a miniature picture of the source code with the indentation showing the usual C controls structure and the color showing the spatial distribution of the statistic. A user may adjust the display using direct manipulation techniques to discover interesting patterns in the code. Software engineering concepts such as complexity and bug fix on fix density can be visualized. The main interest of this work to the human factors community is the use of graphical user interface for selecting and combining statistics from a database, the effective use of hundreds of colors to display a mass of data, and the reduction of the pint-and-click direct manipulation metaphor to just pointing, e.g. something of interest will occur where ever the mouse points to on the display.

© All rights reserved Stephens and Eick and/or ACM Press

 
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Eick, Stephen G. and Wills, Graham J. (1993): Navigating Large Networks with Hierarchies. In: Nielson, Gregory M. and Bergeron, R. Daniel (eds.) Proceedings IEEE Visualization 93 1993. pp. 204-211.

1992
 
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Eick, Stephen G. and Steffen, Joseph L. (1992): Visualizing Code Profiling Line Oriented Statistics. In: Kaufman, Arie E. and Nielson, Gregory M. (eds.) Proceedings IEEE Visualization 92 1992. pp. 210-218.

1990
 
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Becker, Richard A., Eick, Stephen G., Miller, E. O. and Wilks, Allan R. (1990): Dynamic Graphics for Network Visualization. In: IEEE Visualization 1990 1990. pp. 93-96.

 
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