Litchfield, OH, United States of America

Heather A Markus


Average Co-Inventor Count = 3.3

ph-index = 2

Forward Citations = 22(Granted Patents)


Location History:

  • Litchfield, OH (US) (2012 - 2013)
  • Plymouth Meeting, PA (US) (2020)

Company Filing History:


Years Active: 2012-2020

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3 patents (USPTO):Explore Patents

Title: Heather A Markus: Innovator in Inferential Networks

Introduction

Heather A Markus is a prominent inventor based in Litchfield, OH (US). She has made significant contributions to the field of inferential networks, holding a total of 3 patents. Her work focuses on the generation and analysis of linked databases, which has implications for various applications in data management and network analysis.

Latest Patents

Heather's latest patents include innovative methods and systems for creating inferential networks. One of her notable inventions is a method and system that generates an inferential network by storing records of searches conducted on a network of linked nodes. Each node is interconnected, and the records include search terms and results corresponding to the nodes. This technology analyzes stored records to infer relationships between pairs of nodes, generating inferential nodes and links based on the inferred relationships. Another patent focuses on methods and systems for making and utilizing inferential networks, emphasizing the use of data generated from directed searches of linked databases.

Career Highlights

Throughout her career, Heather has worked with notable companies such as Within3, Inc. and 3Degrees LLC. Her experience in these organizations has allowed her to refine her skills and contribute to advancements in her field.

Collaborations

Heather has collaborated with professionals like Michael J Markus and Brian N Smith, enhancing her work through shared expertise and innovative ideas.

Conclusion

Heather A Markus is a trailblazer in the realm of inferential networks, with a strong portfolio of patents that reflect her innovative spirit. Her contributions continue to shape the future of data management and network analysis.

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