Inventor · Alexandria, VA, US

Daniel Argyle

15Patents
3h-index
13Co-inventors
49Inventor score

Filing activity: Apr 21, 2017 → Sep 20, 2022

Most-cited inventions

PatentTitleAreaCited byStatus
US11316808B1 Use of machine-learning models in creating messages for advocacy campaigns Physics 8 Active
US10181167B2 Systems and methods for altering issue outcomes Physics 6 Active
US11127099B2 Systems and methods for predicting future event outcomes based on data analysis Physics 4 Active
US11451497B2 Use of machine-learning models in creating messages for advocacy campaigns Physics 3 Active
US11562453B2 Systems and methods for determining the impact of issue outcomes Physics 2 Active
US10839470B2 Systems and methods for providing a virtual whipboard Physics 2 Active
US10796391B2 Systems and methods for correlating comments and sentiment to policy document sub-sections Physics 2 Active
US11151677B2 Systems and methods for targeting policymaker communication Physics 1 Active
US10692163B2 Systems and methods for steering an agenda based on user collaboration Physics 1 Active
US10593002B2 Systems and methods for analyzing policymaker alignment with organizational posture Physics 1 Active
US12236497B2 Systems and methods for predicting policy adoption Physics 0 Active
US11973726B2 Use of machine-learning models in creating messages for advocacy campaigns Physics 0 Active
US11888600B2 Use of machine-learning models in creating messages for advocacy campaigns Physics 0 Active
US11711324B2 Use of machine-learning models in creating messages for advocacy campaigns Physics 0 Active
US11651460B2 Systems and methods for determining the impact of issue outcomes Physics 0 Active

Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.