Mountain View, CA, United States of America

Elizaveta Girsova


Average Co-Inventor Count = 6.9

ph-index = 1

Forward Citations = 16(Granted Patents)


Location History:

  • San Jose, CA (US) (2019)
  • Mountain View, CA (US) (2021)

Company Filing History:


Years Active: 2019-2021

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2 patents (USPTO):Explore Patents

Title: Elizaveta Girsova: Innovator in Data Visualization Techniques

Introduction

Elizaveta Girsova is a prominent inventor based in Mountain View, CA (US). She has made significant contributions to the field of data visualization, particularly in enhancing the clarity and aesthetics of pie and donut charts. With a total of 2 patents, her work focuses on improving the user experience in data representation.

Latest Patents

Girsova's latest patents include innovative techniques for automatically mitigating overlapping labels associated with pie charts. This patent discloses methods for adjusting label positions in response to changes in the pie chart, ensuring that labels remain non-overlapping and visually appealing. Another notable patent involves dynamically adjusting titles in donut charts. This technique allows for the title to be resized and rewrapped based on the chart's adjustments, preventing overlap with the outer ring and enhancing visual clarity.

Career Highlights

Elizaveta Girsova is currently employed at Apple Inc., where she continues to develop her innovative ideas. Her work has garnered attention for its practical applications in data visualization, making complex information more accessible and understandable.

Collaborations

Throughout her career, Girsova has collaborated with talented individuals such as Chao-Kuo Lin and Andrew L Harding. These partnerships have contributed to the advancement of her projects and the successful implementation of her patented techniques.

Conclusion

Elizaveta Girsova stands out as a key figure in the realm of data visualization, with her patents reflecting a commitment to improving how information is presented. Her contributions are invaluable in making data more comprehensible and visually engaging.

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