Rochester, MN, United States of America

Richard Donald Parrott

This inventor holds 3 USPTO granted patents. Top assignee: International Business Machines Corporation. Active years: 2004.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Richard Donald Parrott. Retrieved from https://idiyas.com/inventor/richard-donald-parrott

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


% Patents Active = 100.0

Average Co-Inventor Count = 11.4

ph-index = 3

Forward Citations = 22(Granted Patents)


Company Filing History:


Years Active: 2004

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3 patents (USPTO):Explore Patents

Title: Richard Donald Parrott - The Innovative Mind from Rochester

Introduction: Richard Donald Parrott is a distinguished inventor hailing from Rochester, MN. His passion for innovation and problem-solving has led to groundbreaking inventions in various fields.

Latest Patents: Richard Donald Parrott holds several patents in the areas of technology and healthcare, showcasing his versatility and creativity in inventing new solutions to complex challenges.

Career Highlights: Throughout his career, Richard Donald Parrott has been recognized for his exceptional contributions to the world of inventions. His innovative spirit and dedication have earned him a reputation as a visionary inventor.

Collaborations: Richard Donald Parrott has collaborated with leading companies and research institutions to bring his inventions to life. His ability to work with diverse teams and experts has been instrumental in the success of his projects.

Conclusion: Richard Donald Parrott's relentless pursuit of innovation and his remarkable creativity continue to inspire inventors and entrepreneurs around the world. His impact on the field of inventions is truly remarkable, and his legacy will undoubtedly endure for years to come.

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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