Average Co-Inventor Count = 2.59
ph-index = 3
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. Dell Products Inc. (155 from 12,626 patents)
2. Emc IP Holding Company LLC (26 from 7,345 patents)
182 patents:
1. 12450112 - Dynamic behavior-based adaptive access control system for edge devices
2. 12452064 - Method and system for performing request validation for a data cluster
3. 12450000 - System and method for determining the security status of a source device based on the security requirement of the destination device
4. 12443762 - System and method for managing a data migration based on a security status of the source storage device
5. 12430656 - Carbon footprint optimized system and method for recommending a priority for replacement or workload redistribution for hardware across an enterprise system
6. 12429933 - Management of device based on CPU temperature during hibernation state
7. 12432164 - Workload management between edge computing sites
8. 12423163 - Context driven network slicing based migration of applications and their dependencies
9. 12411881 - Determining input sentiment by automatically processing text data and non-text data using artificial intelligence techniques
10. 12407714 - Application migration vulnerability and device performance monitoring
11. 12405863 - Method and system for managing failure events of a recovery process using a recovery module
12. 12406202 - Predicting component lifespan information by processing user install base data and environment-related data using machine learning techniques
13. 12405841 - System and method for load-balancing processing requests across client information handling systems to minimize noise and carbon dioxide emissions in a data center
14. 12406276 - System and method for recommending and rewarding configuration adjustments for extending information handling system hardware life
15. 12393866 - System and method for identification of replacement parts using artificial intelligence/machine learning