San Jose, CA, United States of America

Tichomir G Tenev



Average Co-Inventor Count = 3.1

ph-index = 6

Forward Citations = 500(Granted Patents)


Company Filing History:


Years Active: 2000-2012

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7 patents (USPTO):Explore Patents

Title: Tichomir G Tenev: Innovator in Node-Link Structures

Introduction

Tichomir G Tenev is a notable inventor based in San Jose, CA, with a remarkable portfolio of seven patents. His work primarily focuses on advancements in node-link structures, particularly in spaces with negative curvature. Tenev's innovative approaches have contributed significantly to the field of data structures and their applications.

Latest Patents

One of Tenev's latest patents is titled "Local relative layout of node-link structures in space with negative curvature." This invention involves laying out a node-link structure in a negatively curved space, such as the hyperbolic plane. It utilizes nearby relationship data to determine the position of elements relative to their parent in this unique spatial configuration. Another significant patent is "Controlling which part of data defining a node-link structure is in memory." This invention enhances the efficiency of traversing node-link structures by modifying the data in memory based on navigation history and traversal criteria.

Career Highlights

Throughout his career, Tichomir G Tenev has worked with prominent companies, including Inxight Software, Inc. and Xerox Corporation. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking innovations in data structures.

Collaborations

Tenev has collaborated with notable individuals in his field, including Ramana B Rao and John Ogden Lamping. These partnerships have fostered a creative environment that has led to significant advancements in their respective areas of expertise.

Conclusion

Tichomir G Tenev's contributions to the field of node-link structures demonstrate his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of complex data relationships and their practical applications.

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