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Ramana B. Rao

Researcher at Xerox

Publications -  64
Citations -  7815

Ramana B. Rao is an academic researcher from Xerox. The author has contributed to research in topics: Table (database) & Row. The author has an hindex of 40, co-authored 64 publications receiving 7743 citations. Previous affiliations of Ramana B. Rao include Massachusetts Institute of Technology & PARC.

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Proceedings ArticleDOI

A focus+context technique based on hyperbolic geometry for visualizing large hierarchies

TL;DR: The essence of this scheme is to lay out the hierarchy in a uniform way on a hyperbolic plane an d map this plane onto a circular display region that supports a smooth blending between focus and context, as well as continuous redirection of the focus.
Proceedings ArticleDOI

The table lens: merging graphical and symbolic representations in an interactive focus + context visualization for tabular information

TL;DR: The Table Lens as discussed by the authors uses a focus+context (fisheye) technique that works effectively on tabular information because it allows display of crucial label information and multiple distal focal areas.
Proceedings ArticleDOI

Silk from a sow's ear: extracting usable structures from the Web

TL;DR: This paper presents the exploration into techniques that utilize both the topology and textual similarity between items as well as usage data collected by servers and page meta-information lke title and size.
Journal ArticleDOI

The hyperbolic browser: a focus + context technique for visualizing large hierarchies

TL;DR: Enhancements to the core mechanisms provide support for multiple foci, control of the tradeof f between node density and node display space, and for visualizing graphs by transforming them into trees.
Proceedings ArticleDOI

Laying out and visualizing large trees using a hyperbolic space

TL;DR: The essence of the approach is to lay out the hierarchy uniformly on the hyperbolic plane and map this plane onto a circular display region and projection onto the disk provides a natural mechanism for assigning more space to a portion of the hierarchy while still embedding it in a much larger context.