Palo Alto, CA, United States of America

Xofi-Ynez-Zoë Emmanuel

This inventor holds 6 USPTO granted patents. Top assignee: Google Inc.. Active years: 2019-2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xofi-Ynez-Zoë Emmanuel. Retrieved from https://idiyas.com/inventor/xofi-ynez-zoë-emmanuel

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.4

ph-index = 6

Forward Citations = 249(Granted Patents)


Company Filing History:


Years Active: 2019-2020

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6 patents (USPTO):Explore Patents

Title: Xofi-Ynez-Zoë Emmanuel: Innovator at Google Inc.

Introduction

Xofi-Ynez-Zoë Emmanuel is a prominent inventor based in Palo Alto, CA. He has made significant contributions to the field of technology, holding a total of six patents. His work primarily focuses on enhancing user interfaces and improving the overall user experience.

Latest Patents

Among his latest patents is the innovative "Display screen or portion thereof with transitional graphical user interface." This patent showcases his commitment to advancing graphical user interfaces, making them more dynamic and user-friendly.

Career Highlights

Xofi-Ynez-Zoë Emmanuel has built a successful career at Google Inc., where he has been instrumental in developing cutting-edge technologies. His expertise in user interface design has positioned him as a key player in the tech industry.

Collaborations

He has collaborated with talented individuals such as Benjamin Kawaichi and Bingying Xia, further enhancing the innovative projects at Google Inc.

Conclusion

Xofi-Ynez-Zoë Emmanuel's contributions to technology and user interface design are noteworthy. His patents and collaborations reflect his dedication to innovation and excellence in the tech industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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