Average Co-Inventor Count = 2.73
ph-index = 10
The patent ph-index is calculated by counting the number of publications for which an author has been cited by other authors at least that same number of times.
Company Filing History:
1. Oklahoma State University (8 from 162 patents)
2. Pardalis, Inc. (4 from 4 patents)
3. Other (3 from 832,812 patents)
4. Capstan Ag Systems, Inc. (2 from 57 patents)
5. Pardalis Software Inc. (2 from 2 patents)
6. Airgo Ip, LLC (1 from 23 patents)
7. IP Holdings One, LLC (1 from 1 patent)
8. Ingram, Anthony (0 patent)
20 patents:
1. 11292299 - Apparatus for delivering air through trailer axle system
2. 11126790 - Common point authoring system for the complex sharing of hierarchically authored data objects in a distribution chain
3. 10409902 - Common point authoring system for the complex sharing of hierarchically authored data objects in a distribution chain
4. 10226971 - Apparatus for delivering air through powered axle assemblies
5. 9690765 - Common point authoring system for the complex sharing of hierarchically authored data objects in a distribution chain
6. 9561694 - Failure tolerant tire inflation system
7. 8523085 - Method and system to control flow from individual nozzles while controlling overall system flow and pressure
8. 8307000 - Common point authoring system for the complex sharing of hierarchically authored data objects in a distribution chain
9. 8191795 - Method and system to control flow from individual nozzles while controlling overall system flow and pressure
10. 7949668 - Common point authoring system for the complex sharing of hierarchically authored data objects in a distribution chain
11. 7896045 - Apparatus for delivering air through powered axle assemblies
12. 7201066 - System for automatic tire inflation
13. 7188450 - Use of within-field-element-size CV for improved nutrient fertilization in crop production
14. 7136869 - Common point authoring system for tracking and authenticating objects in a distribution chain
15. 6880291 - Process for in-season fertilizer nutrient application based on predicted yield potential