Sanjay Sharma

USPTO Granted Patents = 11 (Patent Applications = 3)

CIPO Patents = 2 (Patent Applications = 4)

EPO Patents = 1 (Patent Applications = 1)

Average Co-Inventor Count = 4.9

ph-index = 3

Forward Citations = 31(Granted Patents)

Company Filing History:

9 out of 59

Lexisnexis, a Division of Reed Elsevier Inc.

Years Active: 2014-2023

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11 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11682029 - Systems and methods for scoring user reactions to a software program (2023-06-20),

2. 10489392 - Systems and methods to facilitate analytics with a tagged corpus (2019-11-26),

3. 10474710 - Systems and methods for generating issue networks (2019-11-12),

4. 9940389 - Systems and methods for generating issue networks (2018-04-10),

5. 9779130 - Systems and methods to facilitate analytics with a tagged corpus (2017-10-03),

6. 9501560 - Systems and methods for identifying and visualizing elements of query results (2016-11-22),

7. 9336305 - Systems and methods for generating issue networks (2016-05-10),

8. 9208460 - System and methods to facilitate analytics with a tagged corpus (2015-12-08),

9. 9195718 - Systems and methods for identifying and visualizing elements of query results (2015-11-24),

10. 9122666 - Systems and methods for creating an annotation from a document (2015-09-01),

11. 8874569 - Systems and methods for identifying and visualizing elements of query results (2014-10-28),

Title: Innovator Spotlight: Sanjay Sharma from Mason, OH

Introduction: Sanjay Sharma is a prolific inventor based in Mason, Ohio, with an impressive portfolio comprising 11 patents. His work primarily focuses on enhancing user experience through innovative software solutions and analytical methods.

Latest Patents: Among his latest contributions to the field, two standout patents capture the essence of his inventive spirit. The first is a system and method for scoring user reactions to a software program. This invention involves a processing device that records user actions, determines real-time metrics, and measures these actions to generate data for machine learning and predictive analytics. The goal is to score individual interaction sessions, providing valuable insights into user experience.

Another significant patent from Sanjay involves systems and methods to facilitate analytics with a tagged corpus. This innovation automates the analysis of data associated with indexed corpora, allowing for the generation of results that can be graphically displayed. The robust data structures and executable instructions enhance the efficiency of data analysis in various applications.

Career Highlights: Sanjay Sharma has built a distinguished career within notable companies such as LexisNexis, which is a division of Reed Elsevier Inc. and RELX Inc. His extensive experience in the industry has provided him with the knowledge and skills necessary to develop groundbreaking solutions that address real-world challenges.

Collaborations: Throughout his career, Sanjay has had the opportunity to collaborate with talented individuals in the field, including Michael Ronald Sluterbeck and Richard D. Miller. These collaborations have enriched his work and contributed to the successful development of his innovative technologies.

Conclusion: With a robust portfolio of patents and a commitment to advancing technology, Sanjay Sharma continues to make significant strides in the innovation landscape. His work not only addresses current technological needs but also paves the way for future advancements in user experience and data analytics.

This text is generated by artificial intelligence and may not be accurate.